Power automation communication technology based on improved genetic algorithm

Abstract

In order to better promote the development of power enterprises and improve the modern communication means of remote control system, the power automation communication technology based on improved genetic algorithm is proposed. Based on the improved genetic algorithm, the power automation communication model is divided into master station model, communication model and terminal model. The main station of power automation communication is located in the power dispatching center. Through power communication or wireless public network, the collected data is transmitted to power automation for centralized processing. The structure of power automation communication equipment is optimized, and the power automation communication scheme is improved, so as to better realize the research of power automation communication. The experimental results show that the power automation communication technology based on improved genetic algorithm has high monitoring accuracy, can effectively eliminate noise, and has high practical application value.

Keywords

Improved genetic algorithm power automation communication technology improvement

1. Introduction

With the continuous development of economy and science and technology, electric power has become an important direction for the development of electric power industry [1]. Electrical intelligence includes power transmission, transmission, distribution and use. Power automation is an important part of electrical intelligence. Based on improved genetic algorithm, it has important applications in power automation communication technology. Efficient power automation technology is a necessary means to realize power intelligence. Conventional power automation methods are divided into three levels: trunk, access and terminal. Considering the power security and economic investment, in the power automation method, the backbone communication mainly relies on optical transmission, power automation communication [2]. In the field of automation, wireless communication is widely used. In the network design of power automation intelligent wireless communication network, it is necessary to optimize and encrypt the flow of power automation communication technology, improve the security of the network, and study the communication technology of power automation is of great significance in the optimization construction and design of power network, and the related research on power automation communication technology has attracted great attention [3].

Reference [4] studies the identification of unbalanced network traffic, proposes to classify the unbalanced data and apply it to the traffic identification. It improves the traffic data by combining a few sampling techniques to realize the unbalanced processing of traffic data. However, this method takes a long time and has low efficiency in the identification of unbalanced network traffic. Reference [5] proposed a new method to identify users in network traffic using traffic metadata, created application level user interaction, and studied a new feature extraction algorithm based on user interaction. The algorithm involves collecting data of 46 users from more than 112 GBS metadata flow in two months to complete traffic identification. However, this method is slow in the process of traffic identification, the identification effect is poor, and the research on encrypted traffic identification is not enough. Therefore, this paper proposes the encryption process identification of power automation intelligent wireless communication network. Its essence and innovation is based on traffic feature extraction and big data information fusion, using traffic feature monitoring and intelligent cluster analysis methods to realize traffic encryption and optimal identification of traffic volume in power automation intelligent wireless communication network. In order to realize the intelligent goal of power system, the power automation communication technology based on improved genetic algorithm is studied to better adapt to the development trend of power automation.

2. Optimization of communication technology of electric power automation

2.1 Optimization of power automation communication structure based on improved genetic algorithm

Based on the improved genetic algorithm, the power automation communication model is divided into master station model, communication model and terminal model. The main station of auto outo method is usually located in the power dispatching center. The collected data are transmitted to auto outo method for centralized processing through power communication or wireless public network [6]. The structure diagram of power automatic control system is shown in Fig. 1.

Figure 1.

Overall frame structure.

Generally, the electronic control communication mode is divided into three levels, namely backbone network, access network and terminal network. In order to avoid information congestion, it is necessary to preprocess the information, and then upload and filter according to its importance. In these technologies, the communication between the power communication station and the master station is mainly realized through the backbone communication network, while the access communication network is mainly realized through the communication between the terminal layer and the master station, such as optical fiber communication, carrier communication, wireless communication, etc. [7]. By using the comparative analysis method, the gap between the evaluation factors is analyzed regularly and quantitatively, and the hierarchical relationship among the evaluation factors is obtained. According to the principle of analytic hierarchy process (AHP), the evaluation index system of external structure hardness of distribution network and the hierarchical weight of each evaluation factor are further determined [8]. The specific process of analytic hierarchy process is as follows:

Step 1: According to the statistical results of expert consultation and the established mapping standard, establish the judgment matrix of indicators at all levels; Step 2: Calculate the weight coefficient; Step 3: Check the consistency of the judgment matrix; Step 4: Calculate the random consistency ratio of the judgment matrix. Then, a new method to divide the hardness of the outer layer of the grid is proposed, which can effectively improve the hardness of the outer layer of the grid. The hardness of the external structure of the power grid is discussed by studying the correlation degree between the grid nodes. In addition, the hardness calculation of the structure outside the power grid is a very fuzzy problem [9]. According to the relevant principles of fuzzy analysis, the fuzzy membership function of the hardness of each evaluation factor in the evaluation system is determined, and the difficulty is quantified, and the hardness of the external structure of the power grid is quantitatively explained regularly. An example is given to illustrate the steps of calculating the hardness of the external structure of power automation communication equipment. The structure framework of power automation communication equipment is shown in Fig. 2.

Figure 2.

Power automation communication structure framework.

Taking the communication server as the transmission channel, the wireless communication master station server is used to realize the real-time communication of the front-end computer. The data storage and forwarding are realized by software, and the data processing between the wireless communication terminal and the user is completed [10]. The communication server is equipped with firewall to ensure the safe transmission of method data. The online client of power automation communication structure framework, the front-end computer of main station and wireless server end realize wireless communication service. Thus, the optimization of power automation communication structure based on improved genetic algorithm is completed, which prepares for the design of power automation communication scheme, and further studies the power automation communication technology based on improved genetic algorithm.

2.2 Communication scheme design of power automation

Based on the optimization of power automation communication structure based on improved genetic algorithm, the power automation communication scheme is designed. Power services include production control regional power services and management information regional power services. Its operation mode mainly includes: distribution automation, power quality communication, accurate load control, etc. Its structure includes centralized collection network, centralized meter reading, distributed energy communication, etc. The communication network in the distribution network will undertake the business of multiple power secondary transmission modes [11, 12]. Different services have different requirements on the real-time, reliability and bandwidth of the communication network. Therefore, it is necessary to analyze all kinds of business, determine its power demand, formulate power construction scheme, and provide safe, reliable and reasonable integrated automatic power supply service. The automatic power distribution method is used to collect real-time data of each terminal, process the data at the same time, and issue various control instructions [13, 14]. According to the operation function of the main station distribution automation method, the data information can be roughly divided into three categories: state information, measurement information and control information. The priority and update cycle of various information are listed in Table 1.

Table 1
Power automation communication service priority

Communication data type		Priority	Power automation system change cycle
Status information	Switch position	High	Burst transmission in 1–2 seconds polling
	Earth switch
	Remote and local switch
	Switch energy storage	In
	Terminal status	High
	Fault signal
	SF6 switch pressure signal	In
	Protection action	High
	Abnormal signal	In
Measurement information	Current and voltage	In	Burst transmission in 5 seconds polling
	Active power, reactive power	Low
	Power factor
	Voltage quantity
	Temperature and humidity
Protection setting	Switch opening and closing On load voltage regulation of distribution Switching of distribution Capacitor Anti false close touch control Protection remote switching	High – In – High –	– – The remote control Command should be Less than 1 second –
Other information	GPS time	In	Every 30 minutes
	Event record	Low	Every 24 hours

It can be seen from Table 1 that the operation functions of power automation communication business priority are mainly divided into status information, measurement information and control information. The three main functions play an important role in power automation communication business, especially for the impact of urban power consumption. With the acceleration of regional urbanization, urban power consumption is increasing rapidly, the power consumption center is gradually extending to the surrounding areas, and the power structure is becoming more and more complex, such as complicated switching operation, uneven distribution of equipment load, cross regional power supply, and difficult to implement distribution automation [15, 16]. On this basis, power automation communication technology is optimized. The sector signal between transmitter and receiver is often blocked. The coverage of power communication equipment with 1800 MHz frequency band is calculated by using c0st231 Hata propagation model.

$\displaystyle L_{b}=46.3+33.9\lg(f)-13.82\times\lg({h_{b}})-a({h_{m}})+[{44.9-% 6.55\times\lg({h_{b}})}]\times\lg(d)+C_{m}$ (1)

In the formula, $\lg(d)$ is the antenna height of power communication equipment, $\lg({h_{b}})$ is the power communication equipment operation correction factor, $C_{m}$ According to the density of power communication equipment, further calculation shows that:

$\displaystyle a({h_{m}})=L_{b}[1.1\ast\lg(f)-0.7r]-h_{m}-\lg(d)[1.56\ast\lg(f)% -0.8f]$ (2)

In the above algorithm $\lg(f)$ is power automation communication propagation distance, $\lg(d)$ is the median basic propagation loss, $r$ is the correction factor for long distance propagation, in dB. Based on MSTP optical fiber transmission network, the power automation business information transmission is realized [17, 18]. When MSTP port of communication substation is empty, the existing MSTP optical transmission equipment panel is used to transmit power business data to the dispatching center of F power supply company through SDH/MS-TP protocol. Aiming at the main distribution network fault recovery method under the small current grounding fault recovery mode of large-scale distributed distribution network, the important role of the main distribution network fault recovery and reconstruction method is studied, which provides a basis for distribution network fault recovery and reconstruction [19, 20]. Finally, it realizes the service landing on the MSTP equipment of the dispatching center, transmits data to the master station through industrial Ethernet, and completes the communication scheme design.

2.3 Communication security strategy of power automation

In the power wireless private network core switch, select the appropriate physical tap port, and provide VPN with port 1 corresponding to real-time VPN, port 2 corresponding to non real-time VPN interface. In the wireless private network, the end-to-end can achieve vertical and horizontal security isolation after data transmission [21]. The initial state of secure transmission of electronic communication is mainly to prepare for SSL connection. In this stage, it is necessary to establish SSL library, load wrong definitions, select protocols, create context, load own certificates and keys, and load the list of trusted CAS. Based on this, the security framework of power automation communication system is optimized, as shown in Fig. 3.

Figure 3.

Communication security processing framework of power automation.

It can be seen from Fig. 3 that during the design of the starting structure frame of power equipment, it is necessary to detect whether the equipment circuit breaker is closed when starting the equipment. If the equipment circuit breaker is closed, the equipment cannot be started. At this time, it is necessary to add strong explosion treatment. If the circuit breaker is disconnected, the power automation equipment can be started normally. Since SSL is above the TCP layer, TCP will connect further after initialization. When the communication transmission is successful, it is necessary to bind the SSL slot to the TCP slot, and then connect the SSL authentication protocol to realize the authentication of the other party’s digital certificate, so as to effectively prove the identity of the receiver [22]. Compare the CA chain in the server certificate chain with the sender’s trust chain. If successful, the authenticity of the server communication security certificate will be verified.

Further comparing the certificate principal name with the certificate name connected to the server shows that the certificate is valid [23, 24]. Assuming that the server also needs to verify the client, the server uses the same method to verify the client certificate, successfully connects to the server and client through SSL protocol, and then optimizes the transmission process of power security communication. The specific processing steps are shown in Fig. 4.

Figure 4.

Optimization of power safety communication transmission steps.

SSL security protocol data security from client to secure web server; Since the uninstall tool executes all SSL processes and completes TCP/IP negotiation, the throughput is greatly improved; At the same time, it simplifies the management and maintenance of key. Increased security in the implementation of adding SSL acceleration and unloading devices to the servers of power communication and other secure web sites, the result is to improve the transaction processing speed. The application of SSL security protocol in power communication can effectively improve the security of power automation communication transmission and ensure the integrity and reliability of power automation communication data. In order to ensure the applicability of wireless video communication, complete the design of transmission protocol, select a good transmission channel, send to the server, determine the video stream information. According to the real-time demand, flexible acquisition and communication connection mechanism is adopted. On the basis of SSL security protocol, through specific modules, it classifies various command information transmitted, provides corresponding API interface, and realizes SSL encrypted transmission. Internal division is finite element analysis modeling, and the quality status of its mesh will directly affect the accuracy of its calculation and modeling. It can be seen that the external splint and appearance of the whole model are composed of some large covering parts, which contains some difficult to express geometric properties, for example, the base of launching equipment on the splint, if we want to unify the mesh thickness. The speed and accuracy of calculation will be directly affected by the quality state of division. Combined with the malicious program embedded access path evaluation data, the error information is analyzed and the harmful level is estimated. Then, the IP tracking and parallel investigation of embedded data with different harmful levels are justified. Therefore, the surface of the analysis model needs to be cut and divided into different ranges. Parameter extraction method of automatic communication system based on improved genetic algorithm.

$\displaystyle F({x})=a({h_{m}})\frac{A(x)}{B(x)}$ (3)

From the formula, $a({h_{m}}){=}1$ , the method functions $A(x)$ , $B(x)$ can be determined by its denominator polynomial coefficients. Because $A(x)$ and $B(x)$ are stationary filtering parameters, their denominator polynomials have the minimum phase. The relationship between the complex cepstrum coefficient and the minimum phase delay function is as follows:

$\displaystyle\alpha(w)=F(x)\sum_{i=0}^{\infty}{p_{i}\times\beta(p)\times\cos({% pw})}$ (4)

When the delay function of the genetic group is known, the genetic cepstrum sequence can be obtained. The minimum phase sequence and its complex cepstrum coefficient satisfy the following conditions in theory:

$\displaystyle{s}(p)=\alpha(w)\sum_{i=0}^{p}{\left({\frac{p}{n_{i}}}\right)}% \times\beta({n_{i}-p}),n_{i}>0$ (5)

In the formula, $\beta({n-p})=1$ . On this basis, the group delay function of denominator sequence is given, and the cepstrum coefficient of denominator sequence is obtained by using cepstrum coefficient, thus the genetic function of the algorithm is obtained. As a relatively weak link in the power system, the power automation terminal access based on the distribution automation communication network and using optical fiber as the main transmission means is the fastest developing access mode in recent years. Distribution automation communication network is the core component of terminal access to power automation communication, generally known as terminal access network. It only exists in distribution automation devices. With the continuous development of terminal access network, distribution network can also be connected with other devices, such as intelligent instruments, intelligent energy collectors, distributed energy acquisition devices, etc. In the communication design of power automation, not only the communication of distribution automation method should be realized, but also the connection with other equipment and business should be considered, which is particularly important in the communication of power automation of distribution automation. The distribution automation communication network is mainly data communication, which realizes the information interaction of distribution network at all levels. The principle of information interaction is shown in Fig. 5.

Figure 5.

Information interaction principle of distribution automation communication network.

According to the hierarchical structure and information transmission mode, the distributed network is divided into forwarding layer, return layer and access layer, the specific contents are as follows.

Return network: A link between the master station and the sub station, called the distribution automation communication network.

Access layer: The channel between the distribution terminal and the communication substation is called the access layer of automatic distribution communication network.

Communication sub station: Different from the above-mentioned power distribution station, the power distribution station here is usually only installed on the 10 kV power supply substation, as a node of the central area distribution network automation communication network communication, it is transmitted to the communication master station through the return power automation communication. Receive and forward the instructions from the communication terminal from the communication station.

Communication station: Similar to the distribution master station, it forwards the information from multiple distribution master stations to the security access platform through a return network, and then enters the main station through the security access platform usually installed in the local dispatching or distribution program.

Communication terminal: The transmission network terminal transmits the collected information to the communication station, receives and sends instructions from the communication station.

Based on the above steps of power automation system communication technology optimization research, can better ensure the power automation system operation security and stability.

3. Experimental results

In order to verify the application effect of power automatic communication technology in improved genetic algorithm, taking MATLAB as the simulation platform, the power automatic communication technology based on improved genetic algorithm and its Reference [4] method, a new intelligent monitoring and classification method of unbalanced network data flow, are simulated. The traditional method is used to replace the Reference [4] method. In order to shorten the time of hardware debugging, it is necessary to test the system correctly. Optimize the simulator and integrated development environment. Check whether the circuit board is normal, and then use a multimeter to check whether the circuit is short circuited, and debug the circuit of single chip microcomputer. The software can be used for off-line or on-line debugging without hardware simulator debugging. In order to ensure the effect of the experiment, the details are shown in Table 2.

Table 2
Experimental parameter setting

Project	Parameter
Power of operation and maintenance equipment	3000 kJ
Operating method voltage	220 V
Operation method current	100 A–500 A
Operation method frequency	500 MHz–2000 MHz
Operation and maintenance exchange mode	B/S and C/S mixed mode
Operation and maintenance environment	TVOA
Operation and maintenance time	60 min–120 min
Total number of equipment models	20

According to the experimental parameter settings in Table 2, the BER of this method is compared with the traditional method. In order to reflect the fairness of the experiment, the experimental verification is carried out under the same experimental conditions. The lower the bit error rate, the better the test result. In the absence of power channel, the BER performance of the proposed method under different SNR is compared and analyzed, and the results are shown in Fig. 6.

Figure 6.

Comparison test results.

The experimental results show that the improved genetic algorithm can effectively overcome the influence of Gaussian noise. Therefore, the bit error performance of the improved genetic algorithm is better than that of the traditional method when equal proportion noise is added. The reason is that this method optimizes the transmission steps of power security communication, selects a good transmission channel, sends it to the server, and determines the video stream information. According to the real-time requirements, flexible acquisition and communication connection mechanism is adopted. On the basis of SSL security protocol, the transmitted command information is classified through specific modules, and the corresponding API interface is provided to realize SSL encrypted transmission. The monitoring accuracy of this method and traditional methods under different noise conditions is compared and analyzed. The higher the accuracy, the better the results. The comparison results of the detection accuracy of the two methods are shown in Table 3.

Table 3

Comparative analysis of monitoring accuracy of two methods

Noise/dB	Traditional method		The method of this paper
	The complex cepstrum coefficient	The minimum phase delay function	The complex cepstrum coefficient	The minimum phase delay function
10	52%	61%	89%	91%
20	46%	59%	88%	90%
30	32%	46%	89%	92%
40	29%	43%	89%	90%
50	25%	38%	88%	90%

The comparison and analysis results show that the communication method proposed in this paper has high detection accuracy and error code effect. The practical application shows that the improved genetic algorithm is used to realize the transient monitoring in the time and frequency domain of the signal, and the wavelet decomposition and reconstruction technology is used to monitor the high-order harmonics. Besides the fluctuation frequency of the normal signal, the noise is eliminated, which makes up for the deficiency of the low monitoring accuracy of the traditional method, and fully meets the research requirements.

4. Conclusions

The information security of electric power enterprise is the core problem of electric power enterprise production and operation. In order to ensure the operation effect of power system, this paper puts forward the research and optimization method of power automation communication technology based on improved genetic algorithm. Power automation communication technology is a product of information technology and network technology in the continuous development process, and finally applied to the power system, with complexity and system It has many obvious characteristics, such as automation and automation. In the power system, the management and security protection are closely integrated, which lays a good foundation for the automatic, safe and efficient operation of the power system, improves the communication module framework of power automation, optimizes the communication scheme, ensures the communication quality of power automation, and ensures the information resource security under the power security mechanism. For future research, under the premise of power automation communication technology, in order to better ensure information security, it is also necessary to strengthen the professional skill level and safety responsibility consciousness of relevant information network operation and maintenance personnel, comprehensively guarantee the information security of power automation communication, and improve the protection ability of power automation communication information network.

Footnotes

Acknowledgments

This study is supported by the Key Natural Science Project of Anhui Provincial Department of Education (No. KJ2019A1210); The Key projects of Anhui Provincial Teaching Research (No. 2018jyxm0090).

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Power automation communication technology based on improved genetic algorithm

Abstract

Keywords

1. Introduction

2. Optimization of communication technology of electric power automation

2.1 Optimization of power automation communication structure based on improved genetic algorithm

Table 1 Power automation communication service priority

Table 2 Experimental parameter setting

Footnotes

Acknowledgments

References

Table 1
Power automation communication service priority

Table 2
Experimental parameter setting