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A Risk-Based Approach for Transmission Network Expansion Planning Under Deliberate Outages

机译:故意中断情况下基于风险的传输网络扩展规划方法

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This paper presents a risk-based approach for the transmission network expansion problem under deliberate outages. Malicious attacks expose network planners to a new challenge: how to expand and reinforce the transmission network so that the vulnerability against intentional attacks is mitigated while meeting budgetary limits. Within this framework network planners face the nonrandom uncertainty of deliberate outages. Unlike in previous approaches, the risk associated with this uncertainty is explicitly addressed in the proposed model. Risk characterization is implemented through the minimax weighted regret paradigm. The resulting mixed-integer nonlinear programming formulation is transformed into an equivalent mixed-integer linear programming problem for which efficient commercial solvers are available. Numerical results illustrate the performance of the proposed methodology. The risk-based expansion plans are compared with those achieved by a previously reported risk-neutral model. An out-of-sample assessment is carried out to show the advantages of the risk-based model over the risk-neutral approach. In addition, the tradeoff between risk mitigation and cost minimization is analyzed.
机译:本文针对故意中断情况下的传输网络扩展问题,提出了一种基于风险的方法。恶意攻击使网络计划人员面临新的挑战:如何扩展和加强传输网络,以便在满足预算限制的同时缓解针对故意攻击的漏洞。在此框架内,网络计划人员面临故意中断的非随机不确定性。与以前的方法不同,在建议的模型中明确解决了与这种不确定性相关的风险。风险表征通过最小最大加权后悔范式进行。所得的混合整数非线性规划公式转化为等效的混合整数线性规划问题,对于该问题,可以使用有效的商业求解器。数值结果说明了所提出方法的性能。将基于风险的扩展计划与先前报告的风险中立模型所实现的计划进行比较。进行了样本外评估,以显示基于风险的模型相对于风险中性方法的优势。另外,分析了风险缓解和成本最小化之间的权衡。

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