Abstract
The dynamic environmental/economic dispatch (DEED) problem is one of the most important optimization problems in modern energy management systems. DEED problem aims to find optimal combination among power generation units that could minimize the total fuel cost and the emission under practical operational constraints. In practice, the DEED problem is considered as nonconvex optimization problem having multiple local minima with higher order nonlinearities and discontinuities. It is due to valve point loading effects, ramp rate limits and prohibited operating zones (POZ). Thus, it is tedious to find the best global solution using classical optimization techniques. To overcome the above problem, a nondominated sorting multi-objective particle swarm optimization with local search (NSPSO-LS) is presented in this paper for the practical DEED problem. The proposed approach was tested on the standard power system with ten thermal units. Three cases with different levels of complexity and discontinuity have been considered. Simulation results clearly show that the proposed NSPSO-LS approach dominates some recently published techniques used for the DEED problem such as NSGAII and IBFA and gives the best solutions.
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