RETRACTED: An efficient modified dragonfly algorithm and whale optimization approach for optimal scheduling of microgrid with islanding constraints

Abstract

Keywords

Microgrid optimal scheduling islanding constraints modified dragonfly algorithm whale optimization algorithm equality and inequality constraints

Get full access to this article

View all access options for this article.

References

Alanazi

Lotfi

Khodaei

(Sep 2017) Coordinated AC/DC microgrid optimal scheduling. In: North American Power Symposium (NAPS), Morgantown, WV, 17–19 September 2017, USA, pp. 1–6. New York: IEEE.

Aljarah

Faris

Mirjalili

(2016) Optimizing connection weights in neural networks using the whale optimization algorithm. SoftComputing 22(1): 1–15.

Decoderz (2019) Dragonfly Algorithm (DA) to solve numerical optimization problem. Transpire Online. Available at: https://transpireonline.blog/tag/dragonfly-algorithm/ (accessed: September 2020).

Ebrahimi

Amjady

(2019) Adaptive robust optimization framework for day-ahead microgrid scheduling. International Journal of Electrical Power & Energy Systems 107(5): 213–223.

Faridnia

Habibi

Lachowicz

Kavousifard

(2019) Optimal scheduling in a microgrid with a tidal generation. Energy 171(3): 435–443.

Farzin

Fotuhi-Firuzabad

Moeini-Aghtaie

(2017a) A stochastic multi-objective framework for optimal scheduling of energy storage systems in microgrids. IEEE Transactions on Smart Grid 8(1): 117–127.

Farzin

Fotuhi-Firuzabad

Moeini-Aghtaie

(2017b) Stochastic energy management of microgrids during unscheduled islanding period. IEEE Transactions on Industrial Informatics 13(3): 1079–1087.

Geramifar

Shahabi

Barforoshi

(2017) Coordination of energy storage systems and DR resources for optimal scheduling of microgrids under uncertainties. IET Renewable Power Generation 11(2): 378–388.

Hariharan

Sindhu

Vijean

, et al. (2018) Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification. Computer Methods and Programs in Biomedicine 155(3): 39–51.

10.

Kaveh

Ghazaan

(2016) Enhanced whale optimization algorithm for sizing optimization of skeletal structures. Mechanics Based Design of Structures and Machines, 45(3): 345–362.

11.

Kavousi-Fard

Zare

Khodaei

(2018) Effective dynamic scheduling of reconfigurable microgrids. IEEE Transactions on Power Systems 33(5): 5519–5530.

12.

Khodaei

(2014a) Microgrid optimal scheduling with multi-period islanding constraints. IEEE Transactions on Power Systems 29(3): 1383–1392.

13.

Khodaei

(2014b) Resiliency-oriented microgrid optimal scheduling. IEEE Transactions on Smart Grid 5(4): 1584–1591.

14.

Murugan

(2017) Memory based Hybrid Dragonfly Algorithm for numerical optimization problems. Expert Systems with Applications 83(10): 63–78.

15.

Liu

Starke

Xiao

, et al. (2017a) Microgrid optimal scheduling with chance-constrained islanding capability. Electric Power Systems Research 145(4): 197–206.

16.

Liu

Starke

Xiao

Tomsovic

(2017b) Robust optimisation-based microgrid scheduling with islanding constraints. IET Generation, Transmission & Distribution 11(7): 1820–1828.

17.

Mafarja

Mirjalili

(2017) Hybrid whale optimization algorithm with simulated annealing for feature selection. Neurocomputing 260(10): 302–312.

18.

Mafarja

Eleyan

Jaber

, et al. (2017) Binary dragonfly algorithm for feature selection. In: International Conference on New Trends in Computing Sciences (ICTCS), Amman, Jordan, 11–13 October 2017, pp. 12–17. New York: IEEE

19.

Marzband

Azarinejadian

Savaghebi

Guerrero

(2017) An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with Markov chain. IEEE Systems Journal 11(3): 1712–1722.

20.

Mirjalili

(2015) Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Computing and Applications 27(4): 1053–1073.

21.

Mirjalili

Lewis

(2016) The whale optimization algorithm. Advances in Engineering Software 95: 51–67.

22.

Mythili

Thiyagarajah

Rajesh

Shajin

(2020) Ideal position and size selection of unified power flow controllers (UPFCs) to upgrade the dynamic stability of systems: An antlion optimiser and invasive weed optimisation Algorithm. HKIE Transactions 27(1): 25–37.

23.

Nguyen

Khodaei

Han

(2018) A big data scale algorithm for optimal scheduling of integrated microgrids. IEEE Transactions on Smart Grid 9(1): 274–282.

24.

Nikmehr

Najafi-Ravadanegh

Khodaei

(2017) Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty. Applied Energy 198(7): 267–279.

25.

Oliva

Abd

Aziz

Ella Hassanien

(2017) Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm. Applied Energy 200(8): 141–154.

26.

Parhizi

Khodaei

(2015) Market-based microgrid optimal scheduling. In: 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, USA, 2–5 November 2015, pp. 55–60. New York: IEEE.

27.

Parhizi

Khodaei

Shahidehpour

(2018) Market-based versus price-based microgrid optimal scheduling. IEEE Transactions on Smart Grid 9(2): 615–623.

28.

Qiu

, et al. (2019) Robustly multi-microgrid scheduling: Stakeholder-parallelizing distributed optimization. IEEE Transactions on Sustainable Energy 11(2): 988–1001.

29.

Rashedi

Nezamabadi-pour

Saryazdi

(2009a) GSA: A gravitational search algorithm. Information Sciences 179(13): 2232–2248.

30.

Rashedi

Nezamabadi-pour

Saryazdi

(2009b) BGSA: Binary gravitational search algorithm. Natural Computing 9(3): 727–745.

31.

Rashedi

Nezamabadi-pour

Saryazdi

(2011) Filter modeling using gravitational search algorithm. Engineering Applications of Artificial Intelligence 24(1): 117–122.

32.

Salehpour

MoghaddasTafreshi

(2019) The effect of price responsive loads uncertainty on the risk-constrained optimal operation of a smart micro-grid. International Journal of Electrical Power & Energy Systems 106(3): 546–560.

33.

Sefidgar-Dezfouli

Joorabian

Mashhour

(2019) A multiple chance-constrained model for optimal scheduling of microgrids considering normal and emergency operation. International Journal of Electrical Power & Energy Systems 112(11): 370–380.

34.

Senthilnath

Omkar

Mani

(2011) Clustering using firefly algorithm: Performance study. Swarm and Evolutionary Computation 1(3): 164–171.

35.

Shi

Xie

Chu Cand Gadh

(2015) Distributed Optimal Energy Management in Microgrids. IEEE Transactions on Smart Grid 6(3): 1137–1146.

36.

Wang Jand Roh

(2014) Stochastic energy scheduling in microgrids with intermittent renewable energy resources. IEEE Transactions on Smart Grid 5(4): 1876–1883.

37.

Sudabattula

Kowsalya

Velamuri

Melimi

(Oct 2018) Optimal allocation of renewable distributed generators and capacitors in distribution system using dragonfly algorithm. In: International Conference on Intelligent Circuits and Systems (ICICS), Phagwara, India, 19–20 April 2018, pp. 393–396. New York: IEEE.

38.

Wang

Chen

Wang

Chen

(2016) Networked microgrids for self-healing power systems. IEEE Transactions on Smart Grid 7(1): 310–319.

39.

Yang

Sadat Hosseini

Gandomi

(2012) Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect. Applied Soft Computing 12(3): 1180–1186.

40.

Youssef

(2017) Power quality constrained optimal management of unbalanced smart microgrids during scheduled multiple transitions between grid-connected and islanded modes. IEEE Transactions on Smart Grid 8(1): 457–464.

41.

Zakariazadeh

Jadid

Siano

(2014) Smart microgrid energy and reserve scheduling with demand response using stochastic optimization. International Journal of Electrical Power & Energy Systems 63(12): 523–533.

42.

Zhang

Guo

, et al. (2016) A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints. Applied Energy 183(12): 791–804.