Abstract
Recently, the excessive utilization of fossil fuels in power plants requires the concern of environmental safety. In general, the economic power dispatch (ED) does not convene environmental safety as its major intention is a reduction of the overall generation cost of the system. The accurate solution of economic dispatch is acquired only by concerning the environmental issues. So ED becomes combined environmental and economic dispatch (CEED) with cost and emission as two objective functions. In this study, particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-AWDV) algorithm is used for solving the CEED dilemma for a coordinated ten thermal unit and sustainable energy sources like wind and solar system with weighting method and fuzzy decision-making (FDM) method. The obtained outcomes indicate the inclusion of sustainable sources with the thermal units is more economical as compared to the thermal system, and the outcomes are correlated with PSO, sparrow search algorithm (SSA), sequential quadratic programming (SQP), evolutionary programming (EP), and hybrid of SQP and EP.
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Behera, S., Naik, N., Behera, S., Barisal, A.K. (2022). Combined Environmental and Economic Dispatch in the Presence of Sustainable Sources Using Particle Swarm Optimization with Adaptive Weighted Delay Velocity. In: Panda, G., Naayagi, R.T., Mishra, S. (eds) Sustainable Energy and Technological Advancements. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-9033-4_27
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DOI: https://doi.org/10.1007/978-981-16-9033-4_27
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