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。
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.
作者
唐艳梅
闫华光
朱彬若
何桂雄
张弓
文伟东
TANG Yanmei;YAN Huaguang;ZHU Binruo;HE Guixiong;ZHANG Gong;WEN Weidong(China Electric Power Research Institute, Beijing 100192, China;Institute of Electric Power Science, Shanghai Electric Power Corporation, Shanghai 200051, China;Beijing Bochao Times Software Co., Ltd., Beijing 100010, China)
出处
《电网与清洁能源》
2018年第2期30-35,42,共7页
Power System and Clean Energy
基金
国家电网公司科技项目"基于分布式低碳能源站的多空间尺度能源互联互济关键技术研究与应用"资助.(52094016000K)~~
关键词
遗传算法
分布式综合能源系统
运行优化
genetic algorithm
distributed integrated energy system
operation optimization
