Short-term non-convex economic hydrothermal scheduling using dynamically controlled particle swarm optimization

Abstract

Paper presented to the 3rd Southern African Solar Energy Conference, South Africa, 11-13 May, 2015.

The aim of this paper is to present short-term hydrothermal scheduling (STHS) of power system. This problem is solved in such a way that utilizes available hydro reserves optimally and thus minimizes the fuel cost of thermal plants. A PSO based method is developed which can efficiently deals with hydro constraints like reservoir storage volume limits, water discharge rate limits, water dynamic balance, initial and final reservoir storage volume limits, etc. for a given time horizon. The operators of the PSO are dynamically controlled. Moreover, the cognitive and social behaviors of the swarm are modified for better exploration and exploitation of the search space. The effectiveness of the proposed method has been investigated on a standard test generating system considering several operational constraints pertaining to hydrothermal systems.