Minimization of fuel cost in solving the power economic dispatch problem including transmission losses by using modified Particle Swarm Optimization

Rizwana, J.; Jeevitha, R.; Venkatesh, R.; Parthiban, K. Shiyam

doi:10.1109/iccic.2015.7435718

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…J.RizwanaIn, et al in order to minimize the losses of the system and also to minimize the fuel cost of the generating units of the economic dispatch problem, they decided to use optimization techniques like PSO and MPSO Algorithms are used. Hence the MPSO algorithm leads to satisfactory results with faster convergence and better accuracy when compared to conventional method and PSO algorithm [60].…”

Section: Ismail Ziane Et Al Provide Multi-objective Simulatedmentioning

confidence: 98%

Optimization techniques for economic load dispatch problem in power plant

2021

SUDORJ

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This paper presents survey of optimization techniques used to solve the problem of economic load dispatch in power stations. Since there is no single method available for solving all economic dispatch problems efficiently, thus a number of different optimization methods have been developed to solve this problem. These techniques were divided into three types depending on the efficiency of the solution: stochastic process techniques, statistical methods, and mathematical programming techniques which divided to local optimization, and global optimization. It is found that is better to use hybrid techniques to overcome load dispatch problems so as to achieve significant improvements in computation time, convergence properties, solution quality, or parameter robustness.

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Section: Ismail Ziane Et Al Provide Multi-objective Simulatedmentioning

confidence: 98%

Optimization techniques for economic load dispatch problem in power plant

2021

SUDORJ

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“…Recent studies maintain the same concept but with a couple of variations. Studies such as [12] and [13] still focuses on ED but includes transmission losses. Some studies include environmental/emission reduction as part of the optimization such as [14] and [15].…”

Section: Related Literaturementioning

confidence: 99%

Utilizing MINLP-based Hourly Dispatch Optimization on a Droop-Controlled Islanded Microgrid

B¹

2019

IJATCSE

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True to any profit-generating endeavors, the concept of reducing costs in order to maximize profit has always been there. In the context of islanded microgrids utilizing renewable energy, this comes in the form of reducing fossil fuel consumption, with the added bonus of also reduced CO 2 emissions. In the case of microgrids with multiple parallel operated diesel generators, there exists an optimal dispatch for the least amount of diesel consumed at any given loading condition. This paper presents a dispatch optimization algorithm for droop-controlled islanded microgrids in the form of a MINLP.

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“…PSO is modern heuristic algorithm developed through simulation of a simplified social system. It is robust in solving continuous nonlinear optimization problems [6]. It is a population based search algorithm in which [5,7].…”

Section: B Psomentioning

confidence: 99%

Generation Rescheduling Using PSO Based OPF

Nair¹

2017

IJTSRD

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Economic load dispatch is an area of serious attention for reducing the final cost of electric power consumption. Generator rescheduling is done by optimal allocation of generating units to obtain a better effective and economic load dispatch. This paper uses a Newton Raphson technique to obtain optimal power flow for load flow analysis and Particle swarm optimization technique is used to find the optimal generator rescheduling. The proposed technique is tested on standard IEEE 14 bus system. The minimum fuel cost concurred under this technique is the parameter which determines the fitness of the function.

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Minimization of fuel cost in solving the power economic dispatch problem including transmission losses by using modified Particle Swarm Optimization

Cited by 9 publications

References 10 publications

Optimization techniques for economic load dispatch problem in power plant

Optimization techniques for economic load dispatch problem in power plant

Utilizing MINLP-based Hourly Dispatch Optimization on a Droop-Controlled Islanded Microgrid

Generation Rescheduling Using PSO Based OPF

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