Solving Dynamic Economic Emission Dispatch Problem by Random Drift Particle Swarm Optimization
The objective of dynamic economic emission dispatch (DEED) problem is scheduling of the optimal power outputs of the online generating units over a time horizon by minimizing the fuel cost and emission level simultaneously while satisfying the generators and system constraints such as power balance constraint, ramp-rate, and generation limits. In this paper for a more practical and comprehensive study, in addition to the above constraints, the valve-point effect and spinning reserve constraints have been taken into account too. With considering the above conditions, DEED becomes a complex multi-objective optimization problem with non-convex and non-smooth objective function that traditional methods are not able to solve it. So, in this paper random drift particle swarm optimization (RDPSO) has been used to solve the above problem. In addition, a ten unit test system has been studied to demonstrate the effectiveness of the mentioned algorithm and the results are compared with the other algorithms.
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