A Load Profile Management Integrated Power Dispatch Using a Newton-Like Particle Swarm Optimization Method
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Load profile management (LPM) is an effective demand side management (DSM) tool for power system operation and management. This paper introduces an LPM integrated electric power dispatch algorithm to minimize the overall production cost over a given period under study by considering both fuel cost and emission factors. A Newton-like particle swarm optimization (PSO) algorithm has been developed to implement the LPM integrated optimal power dispatch. The proposed Newton-like method is embedded into the PSO algorithm to help handle equality constraints while penalty/fitness functions are used to deal with inequality constraints. In addition to illustrative example applications of the proposed Newton-like PSO technique, the optimization method has been used to realize the LPM integrated optimal power dispatch for the IEEE RTS 96 system. Simulation studies have been carried out for different scenarios with different levels of load management. The simulation results show that the LPM can help reduce generation costs and emissions. The results also verify the effectiveness of the proposed Newton-like PSO method.
Wang, Caisheng, Carol J. Miller, M. Hashem Nehrir, John W. Sheppard, and Shawn P. McElmurry. "A Load Profile Management Integrated Power Dispatch Using a Newton-Like Particle Swarm Optimization Method." Sustainable Computing: Informatics and Systems (2014). http://dx.doi.org/10.1016/j.suscom.2014.10.001