Genetic Algorithm and Rough Sets Based Hybrid Approach for Economic Environmental Dispatch of Power Systems

Hussein, Mohamed A.; El‐Sawy, A. A.; Zaki, Elsayed M.; Mousa, A. A.

doi:10.9734/bjmcs/2014/11526

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…Finding the optimum operating cost is the key purpose of the classic constrained combined economic emission dispatch problem (CEEDP) [2]. Recently, for large scale electric power system, modern system optimization theory methods are applied with the cost savings [3]. ere are three directions to solve CEEDP [4].…”

Section: Introductionmentioning

confidence: 99%

Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem

El-Shorbagy

Mousa

2021

Complexity

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This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. This problem has two objective functions that represent the minimizing of generation costs and minimizing the emission of environmental pollution caused by generators. The proposed algorithm integrates the dominant criteria for multiobjective functions that allow the decision-maker to detect all the Pareto boundaries of constrained combined economic emission dispatch problem. In order to save the effort for the decision-maker to select the best compromise alternative, a cluster study was carried out to minimize the size of the Pareto boundary to an acceptable size, representing all the characteristics of the main Pareto frontier. On the other hand, in order to deal with the infringement of constraints, a repair algorithm was used to preserve the viability of the particles. The proposed algorithm is applied to solve the standard 30-bus IEEE system with 6 generators to validate its robustness and efficiency to produce a well-distributed Pareto frontier for constrained combined economic emission dispatch problem. Compared with other studies, good results in solving constrained combined economic emission dispatch problem are obtained and a reasonable reduced Pareto set is found.

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Section: Introductionmentioning

confidence: 99%

Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem

El-Shorbagy

Mousa

2021

Complexity

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“…GA is well suitable for solving nonlinear optimization problems, where it uses a set of points for the evaluation process in the search domain. GA has still gained an increasing interest in the field of different industrial applications [41][42][43]. However, GA when dealing with complex and large systems has many disadvantages such as extreme slowness and the difficulty in ensuring access to the global optimum solution as it requires an increase in the number of iterations (i.e.…”

Section: Introductionmentioning

confidence: 99%

Steady-State Sine Cosine Genetic Algorithm Based Chaotic Search for Nonlinear Programming and Engineering Applications

2020

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This paper proposes a newly meta-heuristic approach, steady-state sine cosine genetic algorithm-based chaotic search, for solving nonlinear programming and engineering applications. It is a combination of sine cosine approach (SCA), steady-state genetic algorithm (SSGA), and chaotic search (CS), and named as chaos-enhanced SCA with SSGA. The proposed approach integrates SSGA's exploitation ability and SCA's exploration ability and local search capability of CS. The performance of the new approach works in two different stages. Firstly, SCA and SSGA start together to increase exploration capability and exploitation tendencies. Secondly, CS used to improve the approximate solution obtained from the first stage and reach the global solution. Hence, the proposed new approach will be more robust as it avoids trapping into local minima in addition to the speed of the search process and rapid convergence towards the global solution. The efficiency of the proposed approach is verified by using it to solve 32 wellknown benchmark problems and different engineering design problems. Simulation results show that the proposed approach is competitive and better in most cases as a comparison to others. INDEX TERMS Chaos search, Hybrid approach, Nonlinear programming problems, Engineering Applications, Optimization.

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“…Therefore, in this paper, a new technique for optimal placement of combined CBs, DGs, and AVRs in distribution systems has been introduced. The proposed technique is based on the integration between PSO and rough set theory . The importance of rough set is to select the most dominant number of each enhancement device connection points.…”

Section: Introductionmentioning

confidence: 99%

Distribution system performance enhancement (Egyptian distribution system real case study)

Elsayed

Mishref²,

Farrag

2018

Int Trans Electr Energ Syst

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Higher load growth in the distribution system and its consequences on higher voltage deviation, feeders overloading, and distribution system loss increase have a bad effect on system quality. Global warming and the dwindling supply of fossil fuels also make it imperative to search for more effective alternatives that guarantee appropriate operating level of power losses and voltage profile at different points of the distribution networks. Capacitor banks (CBs), renewable distributed generators (DGs), and automatic voltage regulators (AVRs) can be considered the most suitable enhancement devices for distribution systems that reduce both pollution and power losses, improving the voltage profile, ..., etc, if they are optimally sized and sited. The objective of this paper is to investigate the optimal placement of each of the 3 mentioned solutions (CBs, DGs, and AVRs) on a part of real Egyptian distribution system. This system is an old, long, weak, and heavily loaded distribution system with high power losses (about 29% of system loading) and poor voltage regulation (about 30%). Each introduced solution has been evaluated according to power loss minimization and investment cost minimization. A new modification to the backward-forward power flow method for radial distribution system embedded AVRs has been proposed, which facilitates the placement procedure of AVRs and reduces computation time as compared to other methods. In this paper, an optimal placement of the combined CBs, DGs, and AVRs has also been introduced based on integrated particle swarm optimization technique and rough set theory. The proposed approach aims to minimize the problem complexity and reduce the storage capacity required for the optimization problem.

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Genetic Algorithm and Rough Sets Based Hybrid Approach for Economic Environmental Dispatch of Power Systems

Cited by 6 publications

References 20 publications

Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem

Constrained Multiobjective Equilibrium Optimizer Algorithm for Solving Combined Economic Emission Dispatch Problem

Steady-State Sine Cosine Genetic Algorithm Based Chaotic Search for Nonlinear Programming and Engineering Applications

Distribution system performance enhancement (Egyptian distribution system real case study)

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