Solving combined economic emission dispatch problem using time varying acceleration based PSO

Hamed, M.N.G.; Mahdad, Belkacem; Srairi, K.; Mancer, Nabil

doi:10.1109/eeeic.2012.6221478

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…The cost of the RES was not considered for the 3-and 10-units system, whereas for the 5 unit system, the price of the wind power was 0.054 $/kW. The value [21], JAYA, CSASCA [22], TVACPSO [23], CFPSO [24,25] along with proposed CSA-JAYA were used as optimisation tools to perform CEED on the test systems. The population size was set at 80 and the maximum number of iterations was considered to be 500 for all of the optimisation techniques and each technique was executed for 20 individual trials in the MATLAB environment installed in a desktop PC of core i3 processor 4 GB RAM.…”

Section: Overview Of the Test Systemsmentioning

confidence: 99%

A comparative analysis between price‐penalty factor method and fractional programming method for combined economic emission dispatch problem using novel hybrid CSA‐JAYA algorithm

2021

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Economic dispatch of power is no more a sole concern for utilities. Instead, the utilities focus on reducing toxic gases emitted to the atmosphere due to the maximum utilisation of conventional fossil-fuelled generators to meet the surging demand for electricity. This can be carried out by involving renewable energy sources (RES) to generate clean power compensating the depletion in the availability of fossil fuels. This article performs combined economic emission disfpatch (CEED) on four dynamic systems with and without the involvement of RES. Two methods for solving CEED, namely the price-penalty factor (ppf) method and the fractional programming (FP) method, are used to perform CEED for all the four test systems, and a comparative analysis between them is made based on the least emission of harmful and toxic gases into the atmosphere. A novel hybrid (CSA-JAYA) algorithm is used as the optimisation tool for the study. Numerical results manifest that the FP method of solving CEED is economic and emits less toxic gases to the atmosphere than the ppf method. The proposed hybrid CSA-JAYA outperformed a long list of algorithms from recent literature in consistently providing better and superior quality solutions.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Overview Of the Test Systemsmentioning

confidence: 99%

A comparative analysis between price‐penalty factor method and fractional programming method for combined economic emission dispatch problem using novel hybrid CSA‐JAYA algorithm

2021

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“…ELD problems have been recently solved by Particle Swarm Optimization (PSO) approaches [23][24][25][26][27]. The PSO originally [23][24][25] in 1995, which is a population based stochastic algorithm. Literature survey shows that particle swarm optimization technique is very simple optimization technique and easier to understand from any other techniques.…”

Section: Introductionmentioning

confidence: 99%

An analysis of economic load dispatch with ramp-rate limit constraints using different algorithms

Dasgupta¹,

Banerjee²,

Chanda

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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The economic load dispatch (ELD) plays an important role in power system operation and control. Different techniques have been used to solve these problems. Recently, the soft computing techniques have widely used in practical applications. This paper shows successful implementation of four evolutionary algorithms, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor approach (PSOCFA), particle swarm optimization with inertia weight factor approach (PSOIWA) and particle swarm optimization with constriction factor and inertia weight factor approach (PSOCFIWA) algorithms. Here ramp-rate limit constraints are considered to solve this problem. Here three cases have been considered. Four algorithms have been applied for each case. Optimum fuel cost is taken from each algorithm is compared for each cases (Case study I, II and lIlY.

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An efficient social network search algorithm for optimal dispatch problems in isolated microgrids incorporating renewable energy sources

Spea,

El-Ela,

Zanaty

2024

Electr Eng

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Solving combined economic emission dispatch problem using time varying acceleration based PSO

Cited by 7 publications

References 19 publications

A comparative analysis between price‐penalty factor method and fractional programming method for combined economic emission dispatch problem using novel hybrid CSA‐JAYA algorithm

A comparative analysis between price‐penalty factor method and fractional programming method for combined economic emission dispatch problem using novel hybrid CSA‐JAYA algorithm

An analysis of economic load dispatch with ramp-rate limit constraints using different algorithms

An efficient social network search algorithm for optimal dispatch problems in isolated microgrids incorporating renewable energy sources

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