arXiv · 2004.08466
Application of Progressive Hedging to Var Expansion Planning Under Uncertainty
Abstract
This paper describes the application of a Progressive Hedging (PH) algorithm to the least-cost var planning under uncertainty. The method PH is a scenario-based decomposition technique for solving stochastic programs, i.e., it decomposes a large scale stochastic problem into s deterministic subproblems and couples the decision from the s subproblems to form a solution for the original stochastic problem. The effectiveness and computational performance of the proposed methodology will be illustrated with var planning studies for the IEEE 24-bus system (5 operating scenarios), the 200-bus Bolivian system (1,152 operating scenarios) and the 1,600-bus Colombian system (180 scenarios).
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Igor Carvalho, Tiago Andrade, Joaquim Dias Garcia, Maria de Lujan Latorre. 2020-04-17. Application of Progressive Hedging to Var Expansion Planning Under Uncertainty. https://arxiv.org/abs/2004.08466
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