Smart Grid Cost-Emission Unit Commitment via Co-Evolutionary Agents

Xiaohua Zhang, Jun Xie, Zhengwei Zhu, Jianfeng Zheng, Hao Qiang and Hailong Rong
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Xiaohua Zhang: School of Urban Rail Transportation, Changzhou University, Changzhou 213164, China
Jun Xie: College of Automation, Nanjing University of Posts and Telecommunication, Nanjing 210023, China
Zhengwei Zhu: College of information science and engineering, Changzhou University, Changzhou 213164, China
Jianfeng Zheng: School of Urban Rail Transportation, Changzhou University, Changzhou 213164, China
Hao Qiang: School of Urban Rail Transportation, Changzhou University, Changzhou 213164, China
Hailong Rong: School of Urban Rail Transportation, Changzhou University, Changzhou 213164, China

Energies, 2016, vol. 9, issue 10, 1-13

Abstract: In this paper, the uncertainty of wind, solar and load; smart charging and discharging of plug-in hybrid electric vehicles (PHEVs) to and from various energy sources; and the coordination of wind, solar power, PHEVs and cost-emission are considered in the smart grid unit commitment (UC). First, a multi-scenario simulation is used in which a set of valid scenarios is considered for the uncertainties of wind and solar energy sources and load. Then the UC problem for the set of scenarios is decomposed into the optimization of interactive agents by multi-agent technology. Agents’ action is represented by a genetic algorithm with adaptive crossover and mutation operators. The adaptive co-evolution of agents is reached by adaptive cooperative multipliers. Finally, simulation is implemented on an example of a power system containing thermal units, a wind farm, solar power plants and PHEVs. The results show the effectiveness of the proposed method. Thermal units, wind, solar power and PHEVs are mutually complementarily by the adaptive cooperative mechanism. The adaptive multipliers’ updating strategy can save more computational time and further improve the efficiency.

Keywords: multi-agent technology; co-evolution agents; cost-emission unit commitment; plug-in hybrid electric vehicles; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
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