Combined economic emission dispatch on dynamic systems using hybrid CSA-JAYA Algorithm

Utilities are no longer only concerned with distributing power at a low cost. Rather, utilities are focusing on lowering the hazardous chemicals discharged into the environment as a result of greater usage of traditional fossil-fuelled generators to meet rising electrical energy demand. This may be...

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Bibliographic Details
Published in:International journal of system assurance engineering and management 2022-10, Vol.13 (5), p.2269-2290
Main Authors: Basak, Sourav, Bhattacharyya, Biplab, Dey, Bishwajit
Format: Article
Language:English
Subjects:
Algorithms
Clean energy
Depletion
Dynamical systems
Emission analysis
Engineering
Engineering Economics
Fossil fuels
Heuristic methods
Hybrid systems
Logistics
Marketing
Mathematical programming
Optimization
Organization
Original Article
Quality Control
Reliability
Renewable energy sources
Safety and Risk
Test systems
Utilities
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Summary:Utilities are no longer only concerned with distributing power at a low cost. Rather, utilities are focusing on lowering the hazardous chemicals discharged into the environment as a result of greater usage of traditional fossil-fuelled generators to meet rising electrical energy demand. This may be done by increasing the use of renewable energy sources (RES) to provide clean power, hence preventing fossil fuel depletion. This article evaluates the dynamic economic emission dispatch (DEED) approach for two large test systems. Two DEED approaches, the price-penalty factor (PPF) method and fractional programming (FP) method, were studied for each of the test systems, and a comparative analysis was conducted based on the balanced trade-off solution between the least amount of hazardous and toxic gases released into the environment and fuel cost. The current article provides a unique hybrid CSA-JAYA method as an optimization tool. According to numerical information acquired, FP emits fewer dangerous and poisonous compounds into the environment than the PPF technique. Because of the valve point loading effect, fitness functions are non-convex and non-linear, necessitating the use of a metaheuristic over traditional optimization methods. The proposed CSA-JAYA algorithm consistently beat a long list of algorithms in producing high-quality results.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-022-01635-z