基于改进CPSO算法的区域电热综合能源系统经济调度  

Economic dispatch based on improved CPSO algorithm for regional power-heat integrated energy system

作　　者：刘洪[1] 陈星屹 李吉峰[1] 徐科[2] 

机构地区：[1]天津大学智能电网教育部重点实验室,天津300072 [2]国网天津市电力公司,天津300010

出　　处：《电力自动化设备》2017年第6期193-200,共8页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(51477116);国网天津市电力公司科技项目(城市能源互联网综合能源系统理论体系及运营模式研究)~~

摘　　要：针对我国北方地区"以热定电"模式造成大规模弃风与调度经济性较差等问题,建立了区域电热综合能源系统日前经济调度模型。首先,构建了电储能、热储能和电动汽车的经济性模型,改进了风电折算成本的描述方法;然后,综合考虑了弃风成本、电动汽车调度成本、电储能和热储能损耗成本、环境污染成本等,构建了区域综合能源系统的调度成本模型;最后,利用信息熵衡量粒子的丰富度,并结合贪心变异策略提出基于粒子维度熵的改进混沌粒子群优化算法。算例结果表明,所提算法在保证优越收敛性的同时可有效分析各设备单元在经济调度和消纳弃风方面的作用,验证了模型和算法的有效性与实用性。Aiming at the large-scale wind curtailment and poor dispatch economy due to the ＂heat-deciding power generation＂ mode in Northern China,a day-ahead economic dispatch model is established for the regional power-heat integrated energy system. Economy models are built for ES（Electricity Storage）,HS （Heat Storage） and electric vehicle,the representation of wind-power reduced cost is improved,a dispatch cost model of regional integrated energy system is established to comprehensively consider the wind curtailment cost,electric vehicle dispatch cost,ES-HS loss cost,environmental pollution cost and so on,and,combined with the greedy mutation strategy and the particle abundance measured by the information entropy,an improved CPSO（Chaos Particle Swarm Optimization） algorithm based on the particle dimension entropy is proposed. Simulative results show that,with the ensured superior convergence,the proposed model and algorithm analyzes the action of each unit in economic dispatch and wind-power accommodation effectively,verifying its efficiency and applicability.

关 键 词：区域综合能源系统 风电消纳 储能 经济调度 成本模型 粒子维度熵 改进混沌粒子群优化算法 贪心变异策略 

分 类 号：TM734[电气工程—电力系统及自动化]