A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations
A Risk-Averse Conic Model for Networked Microgrids Planning With Reconfiguration and Reorganizations
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DOI：
10.1109/tsg.2019.2927833
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发表时间：
2020-01-01
影响因子：
9.6
通讯作者：
Zeng, Bo
中科院分区：
文献类型：
--
作者：
Cao, Xiaoyu;Wang, Jianxue;Zeng, Bo
先进的交换技术使有源配电网中微电网的拓扑重构成为可能。本文引入“动态mgg”概念（即mgg边界的重组），对传统的重构策略进行了改进和推广，使其在紧急孤岛情况下具有更高的作战可行性。同时，提出了一种风险规避的两阶段混合整数二次规划模型，以支持具有广义重构决策的网络化mg规划。在第一阶段进行了电网容量扩张和季节性重构决策，并在第二阶段进行了随机孤岛情景下的验证，其中网络运行由二阶圆锥规划（SOCP）捕获。此外，还引入了条件风险值（CVaR）测度来定量控制孤岛风险。通过从理论上证明SOCP子问题的强对偶性，我们开发并定制了保证有限收敛到最优值的Benders分解方法。最后，对33总线和56总线组网的mgg进行了数值仿真，验证了所提重构策略和规划方法的有效性。与具有固定mg边界的传统方案相比，我们的方法节省了高达22.56的成本。
The advanced switching techniques enable the topology reconfiguration of microgrids (MGs) in active distribution network. In this paper, we enhance and generalize the traditional reconfiguration strategy resorting to the concept of "dynamic MGs" (i.e., the reorganization of MGs boundaries), to achieve a higher operational feasibility against the emergency islandings. Also, a risk-averse two-stage mixed integer conic program model is presented to support the networked MGs planning with generalized reconfiguration decisions. The MGs capacity expansion and seasonal reconfiguration decisions are made in the first stage, and validated under stochastic islanding scenarios in the second stage, where the network operations are captured by a second-order conic program (SOCP). Furthermore, a conditional value-at-risk (CVaR) measure is involved to quantitatively control the islanding risks. By theoretically proving the strong duality of the SOCP subproblem, we develop and customize Benders decomposition method with the guaranteed finite convergence to the optimal value. Finally, numerical results on 33- and 56-bus networked MGs validate the effectiveness of proposed reconfiguration strategy as well as planning approach. Our method demonstrates a cost-saving up to 22.56 when comparing to the traditional scheme with fixed MGs boundaries.