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机构地区:[1]华北水利水电大学电力学院,河南郑州450045 [2]中国长江三峡集团公司,北京100038 [3]华北水利水电大学继续教育学院,河南郑州450045 [4]红河广源水电开发有限公司,云南蒙自661100 [5]三门峡黄河明珠(集团)有限公司水力发电厂,河南三门峡472000
出 处:《水力发电》2015年第12期101-104,共4页Water Power
基 金:国家863计划项目(2009AA05Z429);郑州市科技攻关计划项目(X2013G0432);华北水利水电大学高层次人才科研启动项目(201316)
摘 要:为解决海岛用电用水问题,构建了风/光/抽蓄/海水淡化复合系统。为了降低系统成本,采用粒子群优化算法和整体-局部优化方法对系统进行配置优化。优化目标为系统初次投资,约束条件为供电可靠性,初次投资的评价指标用CE(cost of energy)表示,供电可靠性的评价指标用负荷失电率、电量累计盈亏量、保证连续阴雨天和无风天气的天数等。其最优配置结果为风力发电机总装机容量0.7 MW,光伏阵列容量0.8 MW,抽水蓄能机组容量0.42 MW,蓄电池容量1 050 k W·h,最优配置使系统的负荷失电率低于0.01,很好地保证了海岛的用电用水。In order to solve the problem of electricity and water supply of islands, a hybrid wind/PV/pumped-storage/ desalination system is build. In order to reduce system cost, the hybrid system configuration is optimized by using Particle Swarm Optimization and overall-local method. The optimization goal is system initial investment and the constraint is supply reliability. The evaluation of initial investment is cost of energy ( CE), and the evaluation of supply reliability includes the loss of power supply probability ( LPSP), the amount of electricity cumulative gain or loss and the numbers of days of continuous rainy and windless weather. The optimal system configuration includes 0.7 MW total installed capacity of wind turbine, 0.8 MW of PV capacity, 0.42 MW of pumped-storage capacity and 1 050 kW. h of battery capacity. The optimization configuration ensures that the LPSP of hybrid system is less than 0.01, which could well ensure the electricity and water supply of island.
关 键 词:风/光/抽蓄/海水淡化复合系统 粒子群优化算法 整体一局部法 配置优化 海岛
分 类 号:TK01[动力工程及工程热物理]
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