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Research Article

Optimal scheduling of combined cooling, heating, and power microgrid based on a hybrid gray wolf optimizer

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Pages 277-292 | Received 16 Jul 2021, Accepted 26 Aug 2021, Published online: 12 Sep 2021

References

  • Baron C, Al-Sumaiti AS, Rivera S, et al. Impact of energy storage useful life on intelligent microgrid scheduling. Energies. 2020;13(4):957.
  • Chahartaghi M, Baghaee A. Technical and economic analyses of a combined cooling, heating and power system based on a hybrid micro turbine (solar-gas) for a residential building. Energy Build. 2020;217:110005.
  • Cruz LM, Alvarez DL, Al-Sumaiti AS, et al. Load curtailment optimization using the PSO algorithm for enhancing the reliability of distribution networks. Energies. 2020;13(12):3236–3251.
  • Das BK, Al-Abdeli YM, Kothapalli G, et al. Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems. Appl Energy. 2018;220:735–753.
  • Ebrahimi-Moghadam A, Moghadam AJ, Farzaneh-Gord M, et al. Performance investigation of a novel hybrid system for simultaneous production of cooling, heating, and electricity. Sustainable Energy Technol Assess. 2021;43:100931.
  • El-Sayed WT, El-Saadany EF, Zeineldin HH, et al. Fast initialization methods for the nonconvex economic dispatch problem. Energy. 2020;201:117635.
  • Entezari A, Bahari M, Aslani A, et al. Systematic analysis and multi-objective optimization of integrated power generation cycle for a thermal power plant using genetic algorithm. Energy Conv. Manag. 2021; 241: 114309.
  • Eyisi C, Al-Sumaiti AS, Turitsyn K, et al. Mathematical models for optimization of grid-integrated energy storage systems. 2019 North American Power Symposium (NAPS), 2019, 13–15.
  • Faridnia N, Habibi D, Lachowicz S, et al. Optimal scheduling in a microgrid with a tidal generation. Energy. 2019;171:435–443.
  • Ghiasi M. Detailed study, multi-objective optimization, and design of an AC-DC smart microgrid with hybrid renewable energy resources. Energy. 2019;169:496–507.
  • Kamel MA, Elbanhawy AY, El-Nasr MA, et al. A novel methodology to compare between optimized CCHP and optimized solar-CCHP system. Appl Energy. 2020;202:112196.
  • Kavousi-Fard A, Zara A, Khodaei A, et al. Effective dynamic scheduling of reconfigurable microgrids. IEEE Trans Power Syst. 2018;33:5519–5530.
  • Kim RK, Glick MB, Olson KR, et al. MILP-PSO combined optimization algorithm for an islanded microgrid scheduling with detailed battery ESS efficiency model and policy considerations. Energies. 2020;13(8):1898.
  • Li F, Sun B, Zhang CH, et al. A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage. Energy. 2019;188:115948.
  • Li LL, Liu YW, Tseng ML, et al. Reducing environmental pollution and fuel consumption using optimization algorithm to develop combined cooling heating and power system operation strategies. J. Clean Prod. 2020; 247: 119082.
  • Li LL, Zhang XB, Tseng ML, et al. Sustainable energy saving: a junction temperature numerical calculation method for power insulated gate bipolar transistor module. J. Clean Prod. 2018;185(1):198–210.
  • Lin SL, Song WJ, Feng ZP, et al. Energy management strategy and capacity optimization for CCHP system integrated with electric-thermal hybrid energy storage system. Int. J. Energy. Res. 2020; 44: 1125–1139.
  • Liu Y, Han JT, You HL, et al. Exergoeconomic analysis and multi-objective optimization of a CCHP system based on LNG cold energy utilization and flue gas waste heat recovery with CO2 capture. Energy. 2020;190:116201.
  • Maleki A, Ameri M, Keynia F, et al. Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid system. Renewable Energy. 2015;80:552–563.
  • Mclarty D, Panossian N, Jabbari F, et al. Dynamic economic dispatch using complementary quadratic programming. Energy. 2019;166:755–764.
  • Mirjalili S, Mirjalili SM, Lewis A, et al. Grey wolf optimizer. Adv. Eng. Softw. 2014; 69: 46–61.
  • Mohandes B, Acharya S, Ei Moursi MS, et al. Optimal design of an islanded microgrid with load shifting mechanism between electrical and thermal energy storage systems. IEEE Trans Power Syst. 2020;35:2642–2657.
  • Nemati M, Braun M, Tenbohlen S, et al. Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming. Appl Energy. 2018;210:944–963.
  • Nguyen HT, Al-Sumaiti AS, Turitsyn K, et al. Further optimized scheduling of micro grids via dispatching virtual electricity storage offered by deferrable power-driven demands. IEEE Trans. Power Sys. 2020; 35: 3494–3505.
  • Nimma KS, Al-Falahi MDA, Nguyen HD, et al. Grey wolf optimization-based optimum energy-management and battery-sizing method for grid-connected microgrids. Energies. 2018;11(4):847.
  • Qian JX, Wu JH, Yao L, et al. Comprehensive performance evaluation of wind-solar-CCHP system based on emergy analysis and multi-objective decision method. Energy. 2021;230:120779.
  • Saremi S, Mirjalili SZ, Mirjalili SM, et al. Evolutionary population dynamics and grey wolf optimizer. Neural Comput Appl. 2015;26(5):1257–1263.
  • Saxena A, Kumar R, Das S, et al. Beta-chaotic map enabled grey wolf optimizer. Appl. Soft. Comput. 2019; 75: 84–105.
  • Sfomail. Commercial and residential hourly load data now available on OpenEI!. Visit at 2020 4 10. https://openei.org/community/blog/commercial-and-residential-hourly-load-data-now-available-openei.
  • Thomas D, Deblecker O, Ioakimidis CS, et al. Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule. Appl Energy. 2018;210:1188–1206.
  • Wang KJ, Qi XX, Liu HD, et al. Photovoltaic power forecasting based LSTM-convolutional network. Energy. 2019;189:116225.
  • Wang YL, Wang YD, Huang YJ, et al. Optimal scheduling of the regional integrated energy system considering economy and environment. IEEE Trans Sustainable Energy. 2019;10(4):1939–1949.
  • Wang YN, Wu JK, Mao XM, et al. Intelligent scheduling optimization of seasonal CCHP system using rolling horizon hybrid optimization algorithm and matrix model framework. IEEE Access. 2018;6:75132–75142.
  • Wong T, Bigras P, Duchaine V, et al. Empirical comparison of differential evolution variants for industrial controller design. Int. J. Comput. Intell. Syst. 2016;9(5):957–970.
  • Wu DW, Wang RZ. Combined cooling, heating and power: a review. Prog. Energy Combust. Sci. 2006;32(5):459–495.
  • Wu NY, Zhan XY, Zhu XY, et al. Analysis of biomass polygeneration integrated energy system based on a mixed-integer nonlinear programming optimization method. J. Clean Prod. 2020; 271: 122761.
  • Xu TZ. On fuzzy approximately cubic type mapping in fuzzy banach spaces. Inf. Sci. 2014;278:56–66.
  • Yang C, Wang XS, Huang MM, et al. Design and simulation of gas turbine-based cchp combined with solar and compressed air energy storage in a hotel building. Energy Build. 2017;153:412–420.
  • Yang G, Zhai XQ. Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition. Energy. 2019;174:647–663.
  • Yuan XJ, Liu YC, Bucknall R, et al. Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK. Energy Conv. Manag. 2021; 243: 114406.
  • Yuan Z, Wang WQ, Wang HY, et al. Improved butterfly optimization algorithm for CCHP driven by PEMFC. Appl Therm Eng. 2020;173:114766.
  • Zhang HJ, Xie Z, Lin HC, et al. Power capacity optimization in a photovoltaics-based microgrid using the improved artificial bee colony algorithm. Appl. Sci-Basel. 2020;10: 7173.
  • Zhang JR, Wu YH, Guo YR, et al. A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints. Appl Energy. 2016;183:791–804.
  • Zheng CY, Wu JY, Zhai XQ, et al. A novel operation strategy for CCHP systems based on minimum distance. Appl Energy. 2014;128:325–335.
  • Zhong YF, Huang MX, Ye CJ, et al. Multi-objective optimization of microgrid operation based on dynamic dispatch of battery energy storage system. Electric Power Automation Equipment. 2014;34(6): 114–121.
  • Zhu AJ, Xu CP, Li Z, et al. Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC. J. Syst. Eng. Electron. 2015;26(2):317–328.
  • Zhu YX, Zhuo F, Wang F, et al. A virtual impedance optimization method for reactive power sharing in networked microgrid. IEEE Trans Power Electron. 2016;31(4):2890–2904.

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