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考虑净负荷不确定性的配电网协同调度

Distribution Network Coordinate Operation Considering Net Load Uncertainty
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摘要 如何实现可再生能源的最大化消纳同时保证配电网的安全经济运行成为亟须解决的问题。首先,将节点上的可再生能源出力和负荷聚合为净负荷并以区间描述其不确定性,同时将系统中调节能力在节点上的映射以端点可优化的区间描述,以调节能力区间和净负荷扰动区间的公共部分反映该节点净负荷扰动的可接纳域。然后,基于优先目标规划,构建了以最大化净负荷扰动可接纳域、最小化配电网运行总成本、最小化电压偏差为目标的考虑净负荷不确定性的3层优化模型,进而得到协同考虑新能源最大化消纳、运行成本合理、节点电压波动最小化的优化方案,保证了配电网运行的安全性、可靠性与经济性。最后,基于改进的IEEE 33节点配网算例,验证了该模型和方法的有效性。 Maximizing the consumption of renewable energy while ensuring the safe and economic operation of distribution networks has become an urgent issue.Firstly,the renewable energy output and load on the nodes are aggregated into net loads,and their uncertainties are described in the form of intervals.Meanwhile,the mapping of the regulation capacity in the system onto the nodes is described as intervals with optimizable endpoints,and the common part between the regulation capacity intervals and the net load disturbance intervals reflects the acceptable domain for net load disturbances at that node.Then,based on priority goal planning,a three-tier optimization model is constructed,aiming to maximize the acceptable domain of net load disturbances,minimize the total operational cost of the distribution network,and minimize voltage deviations,while considering the uncertainty of net loads.This results in an optimized solution that comprehensively considers the maximization of renewable energy consumption,reasonable operational costs,and minimal node voltage fluctuations,ensuring the safety,reliability,and economy of distribution network operation.Finally,the effectiveness of the proposed model and method is verified through a case study based on a modified IEEE 33-node distribution network.
作者 贾东梨 杨晓雨 刘科研 叶学顺 李昭 JIA Dongli;YANG Xiaoyu;LIU Keyan;YE Xueshun;LI Zhao(China Electric Power Research Institute,Beijing 100192,China)
出处 《中国电力》 CSCD 北大核心 2024年第9期169-180,共12页 Electric Power
基金 国家电网有限公司科技项目(1400-202155508A-0-5-ZN)。
关键词 协同优化 净负荷扰动接纳域 优先目标规划 安全经济运行 3层优化 synergic optimization admissible region of net load priority goal programming safe and economic operation threelayer operation
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