Networked Microgrids Planning Through Chance Constrained Stochastic Conic Programming
Networked Microgrids Planning Through Chance Constrained Stochastic Conic Programming
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DOI：
10.1109/tsg.2019.2908848
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发表时间：
2019-04
影响因子：
9.6
通讯作者：
Xiaoyu Cao;Jianxue Wang;Bo Zeng
中科院分区：
文献类型：
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作者：
Xiaoyu Cao;Jianxue Wang;Bo Zeng
提出了一种机会约束的微网规划随机二次规划模型。在一个两阶段优化框架下，我们集成了一个多站点微电网投资问题和分别对应于并网和孤岛模式的两组运行问题。为了处理可再生能源发电和负荷变化的不确定性，以及外部干扰引起的或有孤岛，采用随机情景来捕捉随机性，并引入联合机会约束来控制运营风险。利用二阶二次规划(SOCP)公式精确描述了运行问题中的交流最优潮流(OPF)。由于所得到的混合整数SOCP模型计算困难，我们使用非平凡的增强技术定制双线性Bders分解以处理实际实例。在5节点和69节点微电网上的算例结果表明了所提规划模型的有效性和求解算法的优越性能。
This paper presents a chance constrained stochastic conic program model for networked microgrids planning. Under a two-stage optimization framework, we integrate a multi-site microgrids investment problem and two sets of operational problems that correspond to the grid-connected and islanding modes, respectively. To handle the uncertain nature of renewable energy generation and load variation, as well as the contingent islanding caused by external disruptions, stochastic scenarios are employed to capture randomness and a joint chance constraint is introduced to control the operational risks. A second-order conic program (SOCP) formulation is also utilized to accurately describe the AC optimal power flow (OPF) in operational problems. As the resulting mixed integer SOCP model is computationally difficult, we customize the bilinear Benders decomposition with non-trivial enhancement techniques to deal with practical instances. Numerical results on 5- and 69-bus networked microgrids demonstrate the effectiveness of the proposed planning model and the superior performance of our solution algorithm.