Titlebook: Optimization of Power System Problems; Methods, Algorithms Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo Book 2020 Springer Nature Sw

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2198-4182 g to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.978-3-030-34052-0978-3-030-34050-6Series ISSN 2198-4182 Series E-ISSN 2198-4190

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978-3-030-34052-0Springer Nature Switzerland AG 2020

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https://doi.org/10.1007/978-3-030-34050-6Power Systems; Optimal Planning; Power Systems Control; Smart Grids; Power Flow

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Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study,h of IEEE 30-bus test system. Then, results of MOICA are compared with those derived by non-dominated sorting genetic algorithm and multi-objective particle swarm optimizer. The finding indicates that MOICA exhibits better performance.