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作 者:潘小辉 罗兴[1] 穆煜 周航 桂仁杰 徐俊俊 李雪[1] PAN Xiaohui;LUO Xing;MU Yu;ZHOU Hang;GUI Renjie;XU Junjun;LI Xue(State Grid Nanjing Power Supply Company,Nanjing 210019,Jiangsu,China;Nanjing University of Posts and Telecommunications,Nanjing 210023,Jiangsu,China)
机构地区:[1]国网南京供电公司,江苏南京210019 [2]南京邮电大学,江苏南京210023
出 处:《电力大数据》2024年第5期1-8,共8页Power Systems and Big Data
基 金:国家自然科学基金(52107101);国网南京供电公司一线创新项目(NJ20240105)。
摘 要:随着配电网与微电网中分布式资源渗透率逐步增加,设备重载状况下的系统安全稳定运行成为技术挑战。针对海量分布式资源不同渗透场景下主电网输电侧、配电网与微电网全局调控难题,分析不同网络中接入的分布式资源类型,提出充分发挥分布式资源潜能的主-配-微一体化协同控制策略。上层利用主网输电侧中的无功补偿装置与配、微电网中的分布式电源,考虑微电网与主网并网能源转换与网络中储能约束,实现主-配-微电网无功优化;下层针对系统中的有功功率平衡,分析配电网低频切除方案与微电网可控负荷约束构建协同负荷调节优化模型;最终利用双层粒子群计算求解上层与下层的多目标优化问题。通过改进的IEEE 33节点、IEEE 30节点与IEEE 4节点在全局网络搭建含分布式资源的主-配-微一体化仿真模型,验证了所提双层优化控制方法在设备重载、多微电网并网运行与分布式资源出力等不同运行场景下的调控效果。As the penetration of distributed resources in distribution networks and microgrids gradually increases,ensuring system safety and stability under heavy load conditions becomes a technical challenge.To address the global control issues of the transmission side of the main grid,the distribution network,and the microgrid under various penetration scenarios of massive distributed resources,we analyze the types of distributed resources integrated into different networks and propose a coordinated optimization control of active and reactive power for the main-distribution-microgrid system,leveraging the adjustment potential of massive distributed resources.In the upper layer,reactive power optimization is achieved by utilizing reactive compensation devices in the transmission network and distributed power sources in the distribution network and microgrid,considering energy conversion between the microgrid and the main grid,as well as storage constraints within the network.In the lower layer,focusing on the active power balance of the system,we analyze low-frequency load shedding schemes in the distribution network and establish a coordinated load regulation optimization model considering controllable load constraints in the microgrid.Finally,a dual-layer particle swarm optimization algorithm is employed to solve the multi-objective optimization problems in the upper and lower layers.The proposed dual-layer optimization control method is validated through simulations on an integrated model of the main-distribution-microgrid network containing distributed resources,using improved IEEE 33-bus,IEEE 30-bus,and IEEE 4-bus global networks.The results demonstrate the effectiveness of the proposed method in different operating scenarios,such as heavy load conditions,multi-microgrid integration,and varying output from distributed resources.
关 键 词:主-配-微网络 分布式资源 电压控制 设备过载 负荷调节
分 类 号:TM71[电气工程—电力系统及自动化]
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