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You are here: Home DEEPSO DEEPSO publications PMAPS 2014, Durham, UK - DEEPSO and FACTS location Copyright IEEE

PMAPS 2014, Durham, UK - DEEPSO and FACTS location Copyright IEEE

This paper presents a new stochastic programming model for PAR/PST definition and location in a network with a high penetration of wind power, with probabilistic representation, to maximize wind power penetration. It also presents a new optimization meta-heuristic, denoted DEEPSO, which is a variant of EPSO, the Evolutionary Particle Swarm Optimization method, borrowing the concept of rough gradient from Differential Evolution algorithms. A test case is solved in an IEEE test system. The performance of DEEPSO is shown to be superior to EPSO in this complex problem.

DEEPSO PMAPS v3.pdf — PDF document, 293Kb

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