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基于改进粒子群算法的微电网优化运行研究 被引量:4

Research on Optimized Operation of Microgrid Based on Improved Particle Swarm Optimization
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摘要 以某营区微电网为研究目标,制定微电网优化运行策略,搭建了常见分布式电源的有功输出模型和发电成本模型,并基于此建立了以综合经济效益为目标的微电网优化运行模型。在孤岛运行模式下需要考虑DG设备折旧费用。代入营区DG数据后利用改进粒子群算法进行求解,得到了孤岛状态下营区微电网在夏季、冬季的优化运行方案。 A microgrid in a camp area is taken as the l^search objective, and the optimal operation strategy of microgrid is established. The active output model and cost model of common distributed generation are built, and based on this, a microgrid optimal operation model with comprehensive economic benefits is established. The depreciation cost of DG equipment should be considered under the operation mode of isolated island. After taking the DG data into the barracks, the improved particle swarm optimization (PSO) algorithm is used to obtain the optimal operation scheme of the microgrid in the barracks in summer and winter under the state of isolated island.
作者 孙磊超 龙燕 SUN Leichao;LONG Yan(Army Logistics University of PLA,Chongqing 401331,China)
机构地区 陆军勤务学院
出处 《兵器装备工程学报》 CAS 北大核心 2018年第7期184-188,共5页 Journal of Ordnance Equipment Engineering
基金 国家自然科学基金项目(61603407)
关键词 微电网 粒子群算法 分布式发电技术 风力发电 光伏发电 微型燃气轮机发电 microgrid particle swami optimization (PSO) distributed generation wind power generation photovoltaic power generation small gas turbine generate electricity
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