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作 者:王琳语 WANG Linyu(College of Electrical and Control Engineering,Liaoning Technical University,Huludao,Liaoning 125000,China)
机构地区:[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125000
出 处:《东北电力技术》2025年第3期9-12,共4页Northeast Electric Power Technology
摘 要:近年来,分布式能源(distributed energy,DE)因其发电灵活性与清洁性被广泛使用,在新型电力系统中具有广阔的发展前景。但是随着分布式能源的大量并网,其发电随机性不可避免地对电力系统的稳定运行造成冲击。为此提出了一种计及新能源消纳的配电网重构研究方法,通过改进粒子群算法(improved particle swarm optimization,IPSO)对配电网潮流进行优化,以有功网损最小为目标在IEEE33节点对所提方法进行仿真分析,结果表明该方法能够有效降低配电网有功网损。In recent years,distributed energy(DE)is widely used because of its flexibility and cleanliness in power generation,and has a broad development prospect in new power systems.However,with the large number of DE consumption,the randomness of power generation inevitably has an impact on the stable operation of power systems.Therefore,it proposes a distribution network reconstruction research method taking into account the consumption of new energy,optimizes the power flow of the distribution network by improved particle swarm optimization(IPSO),and simulates the proposed method on the IEEE33 node with the objective of active network loss.The simulation results show that this method can effectively reduce the active network loss of the distribution network,and has certain application value in the new power system.
关 键 词:分布式能源 配电网重构 改进粒子群算法 有功网损
分 类 号:TM73[电气工程—电力系统及自动化]
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