2020/04/17 by Carvalho, Igor, Andrade, Tiago, Garcia, Joaquim Dias +1
#Computational Engineering #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Finance #Optimization and Control (math.OC) #Systems and Control (eess.SY) #and Science (cs.CE) #electronic engineering #information engineering
paper · doi:10.48550/arxiv.2004.08466
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).