A holistic review on optimization strategies for combined economic emission dispatch problem

Mahdi, Fahad Parvez; Vasant, Pandian; Kallimani, Vish; Watada, Junzo; Fai, Patrick Yeoh Siew; Abdullah-Al-Wadud, M.

doi:10.1016/j.rser.2017.06.111

Cited by 108 publications

(34 citation statements)

References 110 publications

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“…Further, in order to minimize the instantaneous operating cost of an electrical power system over a certain period, the dynamic economic dispatch (DED) was proposed in the 1980s [13][14][15][16]. With the growing environmental 8 problems, combined economic and emission dispatch (CEED) models have been developed for an electrical 9 system consisting of fossil-fired power plants in the 1990s [17][18][19][20]. Then the DEED model was developed in 10 the 2000s [21].…”

Section: Introductionmentioning

confidence: 99%

Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

Hughes

Ingham

et al. 2019

International Journal of Electrical Power & Energy Systems

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With the increasing issues in the environmental and the high requirement for energy, the Energy Market Reform (EMR) was introduced by the UK government. This paper develops a novel Dynamic Economic and Emission Dispatch (DEED) model for a combined conventional and wind power system incorporating the carbon price floor (CPF) and the Emission Performance Standard (EPS) that is supported by the EMR. The proposed model aims to determine the optimal operation strategy for the given system on power dispatch taking into account wind power waste and reserve and also the environmental aspect, especially the CPF of greenhouse gases and the emission limit of the EPS for different decarbonisation scenarios. Case studies for the demand profile in the Sheffield region in the UK with different time intervals is presented. The results indicate that renewable power is superior in both the economics and emissions to a mid to long-term energy strategy in the UK.

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Section: Introductionmentioning

confidence: 99%

Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

Hughes

Ingham

et al. 2019

International Journal of Electrical Power & Energy Systems

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“…From these artificial-intelligence-based methods, a process of hybridization is going on to accumulate the qualities of individual methods into their hybrids counterparts. This categorization is shown in Figure 1 [2]. Therefore, a simultaneous minimization of both fuel cost and emission is the obvious way to address those challenges; hence, the idea of a combined economic emission dispatch (CEED) emerged.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

et al. 2019

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This paper presents the optimization of fuel cost, emission of NOX, COX, and SOX gases caused by the generators in a thermal power plant using penalty factor approach. Practical constraints such as generator limits and power balance were considered. Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. The novelty of this work is the parallel implementation of PSO and GA techniques in MATLAB environment employed for the same systems. They were then compared in terms of convergence characteristics using 3D plots corresponding to fuel cost and gas emissions. These results are further validated by comparing the performance of both algorithms for CEED on IEEE 30 bus test bed.

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“…It can be divided into two categories which are traditional and metaheuristic methods. The Metaheuristic methods are recently used for many applications since it capable to find global optimal solution for economic-emission load dispatch (EELD) problems [1,[9][10][11][12][13][14][15][16][17][18][19]. In this project, Firefly Algorithm (FA) is applied to investigate the optimal cost and emission, robustness and convergence characteristics of EELD problem.…”

Section: Introductionmentioning

confidence: 99%

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach

Abdullah

Aswan

et al. 2019

IJEECS

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This paper proposes Firefly Algorithm (FA) with fuzzy approach for solving combined economic-emission load dispatch (CEELD) problem in power generation. The main objective of the CEELD problem is to determine the optimal cost and emission level of power generation and fulfill the load demand and operational constraints. The CEELD problem used weighted sum method to combine two objective functions (cost and emission) into single objective. Then, the Fuzzy-based mechanism approach is integrated in FA to find the best compromise solution for both conflicting cost and emission level. The FA has been tested on IEEE 118-bus 14-unit test system for minimization both cost of power generation and emission level. The performance of FA for solving CEELD problem has been investigated in terms of optimal solution, convergence characteristics and Pareto front solution. From the comparison of the CEELD solutions, it found that FA can provide significant cost and emission reduction compared to other methods. Thus, it can be used as alternative approach for solving any optimization problems.

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A holistic review on optimization strategies for combined economic emission dispatch problem

Cited by 108 publications

References 110 publications

Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

Dynamic economic and emission dispatch model considering wind power under Energy Market Reform: A case study

Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach

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