引用本文: | 张倩,丁津津,刘童,等.基于满意度原理的光柴储微网系统优化运行研究[J].电力系统保护与控制,2018,46(10):88-95.[点击复制] |
ZHANG Qian,DING Jinjin,LIU Tong,et al.Optimal operation of PV-diesel-battery microgrid based on satisfying degree[J].Power System Protection and Control,2018,46(10):88-95[点击复制] |
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摘要: |
围绕微网系统环保经济运行优化问题,在并网和孤岛运行状态下,建立了以分布式发电单元的发电费用、折旧费用和环境治理费用为目标,考虑微网运行约束条件的经济优化运行模型,形成多目标有约束优化问题。基于满意度原理的模糊综合判断将多目标转化为单目标问题。再应用全面学习粒子群算法,对微网内分布式电源的输出功率和储能装置充/放电优化求解。以包含光伏、柴油发电机、锂电池、电动汽车充电桩和负载的交直流混合微电网为具体研究对象,优化结果验证了所提模型、算法和方法的有效性。 |
关键词: 微网 经济运行 模糊综合评价 全面学习粒子群算法 |
DOI:10.7667/PSPC170648 |
投稿时间:2017-05-03修订日期:2017-10-09 |
基金项目:国家自然科学基金青年基金资助(51507001);国家重点研发计划项目资助(2016YFB0900400);国家电网公司科技项目资助(521205160021);光伏电网建模与仿真技术研究项目资助(ZXZB-2015-002);安徽大学2015博士科研启动项目资助(J01001929) |
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Optimal operation of PV-diesel-battery microgrid based on satisfying degree |
ZHANG Qian,DING Jinjin,LIU Tong,RUI Tao,WANG Qunjing |
(School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;Engineering Research Center of Power Quality, Ministry of Education, Anhui University, Hefei 230601, China;School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;Anhui Electric Power Science Research Institute, Hefei 230022, China;School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Hefei 230601, China;Engineering Research Center of Power Quality, Ministry of Education, Anhui University, Hefei 230601, China;Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Hefei 230601, China) |
Abstract: |
This paper focuses on the environmental and economic optimal operation of microgrid in grid-connected and island modes. Considering the operation constrains of microgrid, a Constrained Multi-Objective Optimization Problem (CMOP) is built with the fuel cost, depreciation expense and emission cost of distributed generators as optimization objectives. The satisfying degree based fuzzy comprehensive evaluation is introduced for the conversion from multi-objective problem to single-objective one. Then the Comprehensive Learning Particle Swarm Optimization (CLPSO) is applied for the solutions of outputs from distributed generators and charge/discharge optimization of storage device in microgrid. An AC/DC hybrid microgrid including photovoltaic, diesel generator, lithium battery, electric vehicle charging points and load is researched. Optimization results demonstrate the effectiveness of the proposed models, methods, and algorithm. This work is supported by Youth National Natural Science Foundation of China (No. 51507001), National Key Research and Development Program of China (No. 2016YFB0900400), and Science and Technology Project of State Grid Corporation of China (No. 521205160021). |
Key words: microgrid economic optimal operation fuzzy comprehensive evaluation comprehensive learning particle swarm optimization |