Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method
Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method
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DOI：
10.1109/pesgm48719.2022.9916824
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发表时间：
2022-01
期刊：
影响因子：
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通讯作者：
M. Goodarzi;Qifeng Li
中科院分区：
文献类型：
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作者：
M. Goodarzi;Qifeng Li
由于越来越多的电力驱动的水设施，水和电力系统越来越相互依赖。一个系统的安全性可能会受到另一个系统中的意外事件的影响。本文研究了一个能量-水连接（EWN）的安全约束运行问题，这是一个由于非线性、非凸性和规模而具有计算挑战性的优化问题。为了减小问题的规模，我们提出了一种基于偶然性的可行性和等级的两步迭代偶然性过滤方法。通过考虑一组不可用纠正措施控制的突发事件，在正常情况下得到最优的功率和流量。在第二步中执行突发事件的可行性检查，然后对不可控突发事件进行评级。最后，获得关键偶然性，并将其添加到下一次迭代的第一步。我们还采用凸技术来减少计算负担。通过两个实例验证了该方法的有效性。结果表明，该方法能有效地获得最优值。
Water and power systems are increasingly interdependent due to the growing number of electricity-driven water facilities. The security of one system can be affected by a contingency in the other system. This paper investigates a securityconstrained operation problem of the energy-water nexus (EWN), which is a computationally challenging optimization problem due to the nonlinearity, nonconvexity, and size. We propose a two-step iterative contingency filtering method based on the feasibility and rating of the contingencies to decrease the size of the problem. The optimal power and water flow are obtained in a normal situation by considering the set of contingencies that can not be controlled with corrective actions. The feasibility check of the contingencies is performed in the second step, followed by a rating of the uncontrollable contingencies. Finally, the critical contingencies are obtained and added to the first step for the next iteration. We also employ convex technologies to reduce the computation burden. The proposed method is validated via two case studies. Results indicate that this approach can efficiently attain optimal values.