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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Combined Heat and Power Economic Dispatch Using Particle Swarm Optimization
verfasst von : Farnaz Sohrabi, Farkhondeh Jabari, Pouya Pourghasem, Behnam Mohammadi-Ivatloo
Erschienen in: Optimization of Power System Problems
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Abstract
Due to increased energy cost and limitations of fossil fuel energy sources, systems with higher efficiency such as combined heat and power (CHP) have become more popular. Optimal operation of the power system in the presence of CHP units which have non-linear and non-convex characteristics is getting more complicated. Difficulties of mentioned problem lead us to use heuristic and evolutionary methods. In this chapter, particle swarm optimization (PSO) is implemented in economic dispatch (ED) of CHP units. The main objective of ED problem is to obtain optimal output power and heat of each unit while the total generating cost is minimized and system operational constraints are satisfied. The results show the capability of this algorithm in solving CHP economic dispatch (CHPED) problem.