Constrained dynamic economic dispatch solution using particle swarm optimization

This paper proposes using the particle swarm optimization (PSO) to solve the constrained dynamic economic dispatch (DED) problem in power system operation. The constrained DED must not only satisfy the system load demand and the spinning reserve capacity, but some practical operation constraints of generators, such as ramp rate limits and prohibited operating zone, are also considered in practical generator operation. The feasibility of the proposed PSO method is demonstrated for two power systems, and it is compared with the other stochastic methods in terms of solution quality and computation efficiency. The experimental results showed that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in constrained DED problems.