Multi-objective Economic Optimal Operation of Microgrid Based on Combined Cooling, Heating and Power Considering Battery Life

doi:10.12096/j.2096-4528.pgt.19175

Abstract

Abstract:

Combined cooling, heating and power (CCHP) microgrid can not only provide a good platform for the development and utilization of clean energy, but also greatly improve the efficiency of energy use, and can improve the quality of power supply and reduce the network loss of the system. In order to make the economic calculation of CCHP microgrid more in line with the actual operation conditions, this paper considered adding battery life to the economic calculation model. The multi-objective optimization model of CCHP microgrid was established considering the power generation cost and the cleanness of microgrid. The multi-objective optimization model was transformed into a single-objective optimization model by the principle of maximum satisfaction. The improved genetic algorithm was used to optimize the output of each micro-source in a day. The effects of multi-objective optimization and single-objective optimization on the output of micro-sources in the CCHP microgrid were compared and analyzed by numerical examples. The simulation results show that the multi-objective optimization model can simultaneously take into account the economic and cleanness of CCHP microgrid, and it is closer to the actual operating conditions of CCHP microgrid.

Key words: combined cooling, heating and power (CCHP) generation system, microgrid, economical operation, improved genetic algorithm, multi-objective optimization, energy storage, storage battery life

CLC Number:

TM73

Lixia SUN,Ping JU,Jingtao BAI,Tiantian LIU. Multi-objective Economic Optimal Operation of Microgrid Based on Combined Cooling, Heating and Power Considering Battery Life[J]. Power Generation Technology, 2020, 41(1): 64-72.

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