Abstract: A new heuristic search technique based on binary successive approximation method is applied to the problem of determining the optimal schedule of power generation in a hydro thermal power system The main objective for hydrothermal operation is not only to minimize the total system operating cost, represented by the fuel cost required for system’s thermal generation subject to the operating constraints of hydro and thermal plants, over the optimization interval but also to consider the environmental and system security objectives. Normally, the decision making input system data were assumed to be well behaved and deterministic. But in practical situations the input system data cannot be predicted and estimated with hundred percent certainties. It is bound to vary depending upon the uncertainties, load changes, load forecasting errors, ageing of equipment etc. It is worthwhile to assume the system data as variable and uncertain for more realistic approach. In this study an attempt has been made to solve fixed head short-term hydro-thermal generation scheduling problem in the multi objective framework by taking into account the statistical variation of various system parameters such as variance of cost and emission coefficients of generators, variance of power, generation mismatch etc.
Jarnail S. Dhillon , J.S. Dhillon and D.P. Kothari , 2007. Multi-Objective Short-Term Hydrothermal Scheduling Based on Heuristic Search Technique . Asian Journal of Information Technology, 6: 447-454.