AlanaziALotfiHKhodaeiA (Sep2017) 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.
2.
AljarahIFarisHMirjaliliS (2016) Optimizing connection weights in neural networks using the whale optimization algorithm. SoftComputing22(1): 1–15.
EbrahimiMAmjadyN (2019) Adaptive robust optimization framework for day-ahead microgrid scheduling. International Journal of Electrical Power & Energy Systems107(5): 213–223.
5.
FaridniaEHabibiDLachowiczSKavousifardA (2019) Optimal scheduling in a microgrid with a tidal generation. Energy171(3): 435–443.
6.
FarzinHFotuhi-FiruzabadMMoeini-AghtaieM (2017a) A stochastic multi-objective framework for optimal scheduling of energy storage systems in microgrids. IEEE Transactions on Smart Grid8(1): 117–127.
7.
FarzinHFotuhi-FiruzabadMMoeini-AghtaieM (2017b) Stochastic energy management of microgrids during unscheduled islanding period. IEEE Transactions on Industrial Informatics13(3): 1079–1087.
8.
GeramifarHShahabiMBarforoshiT (2017) Coordination of energy storage systems and DR resources for optimal scheduling of microgrids under uncertainties. IET Renewable Power Generation11(2): 378–388.
9.
HariharanMSindhuRVijeanV, et al. (2018) Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification. Computer Methods and Programs in Biomedicine155(3): 39–51.
10.
KavehAGhazaanM (2016) Enhanced whale optimization algorithm for sizing optimization of skeletal structures. Mechanics Based Design of Structures and Machines, 45(3): 345–362.
11.
Kavousi-FardAZareAKhodaeiA (2018) Effective dynamic scheduling of reconfigurable microgrids. IEEE Transactions on Power Systems33(5): 5519–5530.
12.
KhodaeiA (2014a) Microgrid optimal scheduling with multi-period islanding constraints. IEEE Transactions on Power Systems29(3): 1383–1392.
KSSRMuruganS (2017) Memory based Hybrid Dragonfly Algorithm for numerical optimization problems. Expert Systems with Applications83(10): 63–78.
15.
LiuGStarkeMXiaoB, et al. (2017a) Microgrid optimal scheduling with chance-constrained islanding capability. Electric Power Systems Research145(4): 197–206.
16.
LiuGStarkeMXiaoBTomsovicK (2017b) Robust optimisation-based microgrid scheduling with islanding constraints. IET Generation, Transmission & Distribution11(7): 1820–1828.
17.
MafarjaMMirjaliliS (2017) Hybrid whale optimization algorithm with simulated annealing for feature selection. Neurocomputing260(10): 302–312.
18.
MafarjaMEleyanDJaberI, 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.
MarzbandMAzarinejadianFSavaghebiMGuerreroJ (2017) An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with Markov chain. IEEE Systems Journal11(3): 1712–1722.
20.
MirjaliliS (2015) Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Computing and Applications27(4): 1053–1073.
21.
MirjaliliSLewisA (2016) The whale optimization algorithm. Advances in Engineering Software95: 51–67.
22.
MythiliSThiyagarajahKRajeshPShajinFH (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 Transactions27(1): 25–37.
23.
NguyenHKhodaeiAHanZ (2018) A big data scale algorithm for optimal scheduling of integrated microgrids. IEEE Transactions on Smart Grid9(1): 274–282.
24.
NikmehrNNajafi-RavadaneghSKhodaeiA (2017) Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty. Applied Energy198(7): 267–279.
25.
OlivaDAbdElAzizMElla HassanienA (2017) Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm. Applied Energy200(8): 141–154.
26.
ParhiziSKhodaeiA (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.
ParhiziSKhodaeiAShahidehpourM (2018) Market-based versus price-based microgrid optimal scheduling. IEEE Transactions on Smart Grid9(2): 615–623.
28.
QiuHGuWXuY, et al. (2019) Robustly multi-microgrid scheduling: Stakeholder-parallelizing distributed optimization. IEEE Transactions on Sustainable Energy11(2): 988–1001.
29.
RashediENezamabadi-pourHSaryazdiS (2009a) GSA: A gravitational search algorithm. Information Sciences179(13): 2232–2248.
RashediENezamabadi-pourHSaryazdiS (2011) Filter modeling using gravitational search algorithm. Engineering Applications of Artificial Intelligence24(1): 117–122.
32.
SalehpourMMoghaddasTafreshiS (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 Systems106(3): 546–560.
33.
Sefidgar-DezfouliAJoorabianMMashhourE (2019) A multiple chance-constrained model for optimal scheduling of microgrids considering normal and emergency operation. International Journal of Electrical Power & Energy Systems112(11): 370–380.
34.
SenthilnathJOmkarSManiV (2011) Clustering using firefly algorithm: Performance study. Swarm and Evolutionary Computation1(3): 164–171.
35.
ShiWXieXChu Cand GadhR (2015) Distributed Optimal Energy Management in Microgrids. IEEE Transactions on Smart Grid6(3): 1137–1146.
36.
SuWWang Jand RohJ (2014) Stochastic energy scheduling in microgrids with intermittent renewable energy resources. IEEE Transactions on Smart Grid5(4): 1876–1883.
37.
SudabattulaSKowsalyaMVelamuriSMelimiR (Oct2018) 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.
WangZChenBWangJChenC (2016) Networked microgrids for self-healing power systems. IEEE Transactions on Smart Grid7(1): 310–319.
39.
YangXSadat HosseiniSGandomiA (2012) Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect. Applied Soft Computing12(3): 1180–1186.
40.
YoussefK (2017) Power quality constrained optimal management of unbalanced smart microgrids during scheduled multiple transitions between grid-connected and islanded modes. IEEE Transactions on Smart Grid8(1): 457–464.
41.
ZakariazadehAJadidSSianoP (2014) Smart microgrid energy and reserve scheduling with demand response using stochastic optimization. International Journal of Electrical Power & Energy Systems63(12): 523–533.
42.
ZhangJWuYGuoY, 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 Energy183(12): 791–804.