基于自适应遗传算法的分布式综合能源系统优化设计
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引用本文:唐艳梅1,闫华光1,朱彬若2,何桂雄1,张弓3,文伟东3.基于自适应遗传算法的分布式综合能源系统优化设计[J].电网与清洁能源,2018,34(2):30~35
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作者单位
唐艳梅1 1. 中国电力科学研究院 
闫华光1 1. 中国电力科学研究院 
朱彬若2 2. 国网上海市电力公司 电力科学研究院 
何桂雄1 1. 中国电力科学研究院 
张弓3 3. 北京博超时代软件有限公司 
文伟东3 3. 北京博超时代软件有限公司 
中文摘要:针对分布式综合能源系统的非线性特征,构建了基于自适应遗传算法的系统优化模型,以系统最小成本为目标优化函数,同时考虑到系统的环保指标和运行可靠性等因素,运用MATLAB软件针对东南沿海一旅游岛屿进行了为期一年的动态运行仿真。研究结果表明:采用优化后的分布式综合能源系统发电成本仅0.8元/KW·h,而单一柴油发电机发电成本达到3.236元/KW·h。在提高系统供电可靠性的同时,大大降低了发电系统的运营成本。系统污染物排放量也得到了大幅降低,相较于单一柴油机发电形式,新的分布式综合能源发电系统的污染排放可以忽略不计,因此可很大程度改善岛上环境。
 
Optimal Design of Distributed Integrated Energy System Based on Adaptive Algorithm
Abstract:Aiming at the nonlinear characteristics of distributed integrated energy system, a system optimization model based on adaptive genetic algorithm is proposed in this paper. Taking the system minimum cost as the objective optimization function and considering the environmental protection indexes and operational reliability of the system, the operation of the energy system of a tourist island off the southeast coast in China is dynamically simulated by means of MATLAB for a year. The results show that the cost of power generation using the optimized distributed integrated energy system is only 0.8 yuan / KWh, while that of a single diesel generator reaches 3.236 yuan / KWh. While improving the reliability of the system power supply, the new distributed integrated energy system greatly reduces the operating cost of power generation system and also reduces the systematic pollutant emissions. Compared to the sole diesel generation mode, the emissions from the new distributed integrated energy system are negligible , thus greatly improving the island's environment.
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