计及蓄电池寿命的冷热电联供型微电网多目标经济优化运行
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.
标题：计及蓄电池寿命的冷热电联供型微电网多目标经济优化运行
title:Multi-objective Economic Optimal Operation of Microgrid Based on Combined Cooling, Heating and Power Considering Battery Life
作者：孙黎霞,鞠平,白景涛,刘甜甜
authors:Lixia SUN,Ping JU,Jingtao BAI,Tiantian LIU
关键词：冷热电联供系统,微电网,经济运行,改进遗传算法,多目标优化,储能,蓄电池寿命,
keywords:combined cooling, heating and power (CCHP) generation system,microgrid,economical operation,improved genetic algorithm,multi-objective optimization,energy storage,storage battery life,
发表日期：2020-02-29
- 文件大小:
- 645.61 KB
- 下载次数:
- 60
-
高速下载
|
|
