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作 者:付宗强 王红蕾[1,2] 袁旭峰 FU Zongqiang;WANG Honglei;YUAN Xufeng(The Electrical Engineering College,Guizhou University,Guiyang 550025,China;Guizhou Provincial Key Laboratory of"Internet+"Collaborative Intelligent Manufacturing,Guiyang 550025,China)
机构地区:[1]贵州大学电气工程学院,贵阳550025 [2]贵州省“互联网+”协同智能制造重点实验室,贵阳550025
出 处:《微处理机》2021年第6期14-17,共4页Microprocessors
基 金:国家自然科学基金(5207004)。
摘 要:微电网群可以通过供给侧的协调调度,实现各微电网可再生能源的合理分配与微电网群可再生能源的全消纳,为探索这一方案的可行性,建立一种微电网群协调调度的双层规划模型。通过协调微电网之间,以及微电网与配电网之间的能量交易,达到可再生能源的全消纳;下层通过考虑各微电网的机组调度,实现微电网群的可靠经济运行。以由三种不同负荷类型的微电网构成的微电网群为例,利用环形邻域粒子群优化算法求解出微电网群向配电网的最小购售电量和各微电网机组的最佳出力,通过网、源、荷协同互动控制,提高可再生能源的线消纳能力。The multi-microgrid can realize the rational distribution of renewable energy in each microgrid and the full consumption of renewable energy in the multi-microgrid through the coordinated dispatching on the supply side.In order to explore the feasibility of the scheme,a bi-level programming model for coordinated dispatching of multi-microgrid is established.By coordinating the energy transactions between microgrids and between microgrid and distribution network,the renewable energy can be fully consumed.The lower layer realizes the reliable and economic operation of multi-microgrid by considering the unit scheduling of each microgrid.Taking the multi-microgrid consisting of three different load types as an example,the minimum power purchase and sales from multi-microgrid to distribution network and the optimal output of each microgrid unit are solved by using the ring neighborhood particle swarm optimization algorithm,and the line consumption capacity of renewable energy is improved through the collaborative and interactive control of grid,source and load.
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