引用本文:江全元,石庆均,李兴鹏,陈跃辉,张文磊,宋军英.风光储独立供电系统电源优化配置[J].电力自动化设备,2013,33(7):
JIANG Quanyuan,SHI Qingjun,LI Xingpeng,CHEN Yuehui,ZHANG Wenlei,Junying.Optimal configuration of standalone wind-solar-storage power supply system[J].Electric Power Automation Equipment,2013,33(7):
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风光储独立供电系统电源优化配置
江全元1, 石庆均2, 李兴鹏1, 陈跃辉3, 张文磊3, 宋军英3
1.浙江大学 电气工程学院,浙江 杭州 310027;2.重庆市电力公司 长寿供电局,重庆 401220;3.湖南省电力公司,湖南 长沙 410007
摘要:
风光储独立供电系统是解决边远地区供电问题的有效途径,对其合理地配置电源以提高供电可靠性、经济性是系统规划设计阶段的主要问题。在建立基本元件模型的基础上,以系统等年值投资费用最低为目标,考虑系统运行约束条件,构建了风光储独立供电系统的电源优化配置模型。提出了基于粒子群优化算法的数值求解方法。在算例分析中,分别以蓄电池和电解槽-储氢罐-燃料电池循环系统作为储能装置,对比分析了不同储能模式下的系统优化配置方案,结果表明,在满足相同供电可靠性指标的前提下风/光/蓄电池系统的优化配置更经济,合理地评估停电损失和设置可靠性指标可有效降低系统冗余投资。
关键词:  风光储独立供电系统  粒子群优化算法  电解槽-储氢罐-燃料电池循环系统  模型  储能
DOI:
分类号:
基金项目:国家高技术研究发展计划(863计划)资助项目(2009AA05Z221,2011AA05A113);国家重点基础研究发展计划课题合作协议(2012CB215106);教育部新世纪优秀人才支持计划项目(NCET-08-0489);浙江省科技计划项目(2009C34013)
Optimal configuration of standalone wind-solar-storage power supply system
JIANG Quanyuan1, SHI Qingjun2, LI Xingpeng1, CHEN Yuehui3, ZHANG Wenlei3, Junying3
1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;2.Chongqing Changshou Power Supply Bureau,Chongqing 401220,China;3.State Grid Hunan Electric Power Company,Changsha 410007,China
Abstract:
Standalone wind-solar-storage power supply system is an effective solution for remote rural regions and the proper configuration of DG is the key of its reliability and economy. An optimal DG configuration model of standalone wind-solar-storage power supply system is built based on the elementary component models,which takes the minimum annualized cost of system as its objective and considers the constraints of system operation. The numerical solution based on PSO(Particle Swarm Optimization) algorithm is worked out. In the case study,the battery and the electrolyzer-hydrogen tank-fuel cell circulatory system are selected respectively as the storage device to compare the optimal configuration solution between different storage modes. Results of case study show that the optimal configuration solution of wind/solar/battery is more economical for the same power supply reliability and the reasonable outage cost assessment and reliability index setting may effectively reduce the investment for system redundancy.
Key words:  standalone wind-solar-storage power supply system  particle swarm optimization algorithm  electrolyzer-hydrogen tank-fuel cell circulatory system  models  energy storage

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