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

Lixia SUN; Ping JU; Jingtao BAI; Tiantian LIU

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

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

Key Technologies for Ubiquitous Power Internet of Things and Integrated | 更新时间：2025-07-04

- Multi-objective Economic Optimal Operation of Microgrid Based on Combined Cooling, Heating and Power Considering Battery Life
- Power Generation Technology Vol. 41, Issue 1, Pages: 64-72(2020)
- 作者机构：
  
  1.河海大学能源与电气学院, 江苏省南京市 211100
  2.国网安徽省电力有限公司检修分公司, 安徽省合肥市 230000
- 作者简介：
- 基金信息：
  
  the National Natural Science Foundation of China(51837004);the National Natural Science Foundation of China(51707056);Subject Innovation and Intellectual Introduction Plan of Institutions of Higher Learning (111 Project)(B14022)
- DOI：10.12096/j.2096-4528.pgt.19175
  CLC： TM73
- Received：06 December 2019，
  
  Published：29 February 2020
- 稿件说明：
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Lixia SUN, Ping JU, Jingtao BAI, et al. 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.
DOI：

Lixia SUN, Ping JU, Jingtao BAI, et al. 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. DOI： 10.12096/j.2096-4528.pgt.19175.

摘要

冷热电联供（combined cooling，heating and power，CCHP）型微电网不仅能为清洁能源的开发利用提供良好的平台，降低能源消费带来的环境污染，而且能够改善供电电能质量，降低系统损耗。为使CCHP型微电网经济计算更加符合实际运行工况，考虑将蓄电池寿命损耗带来的经济损失加入经济调度计算模型，同时考虑CCHP型微电网的经济性和环保性，建立CCHP型微电网的多目标优化模型。根据最大满意度的原则将多目标优化模型转化为单目标优化模型，利用改进型遗传算法，优化日内各微源的出力。通过算例对比分析多目标优化和各个单目标优化对微电网中各微源出力的影响，结果表明：多目标优化模型能够兼顾CCHP型微电网的经济性和环保性，更加接近CCHP型微电网的实际运行工况。

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.

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