Modified social spider algorithm for solving the economic dispatch problem

El-Sayed, Wael T.; Hegazy, Yasser G.; Bendary, Fahmy; ElBages, Mohamed S.

doi:10.1016/j.jestch.2016.09.002

Cited by 58 publications

(30 citation statements)

References 52 publications

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“…It is observed that PSOSSM shows better results as compared to other methods. The best fuel cost reported by the proposed algorithm is lowered by 8004.46 Rs/h from the highest reported by SCA [30], whereas it is lowered by 49.66 Rs/h in comparison to MSSA [30], which otherwise was lowered.…”

Section: Medium-scale Test Systemmentioning

confidence: 66%

“…This system consists of valve point loading along with the transmission losses having total demand of 21000 MW. The best results obtained are reported in Table 6 and are then compared with other available reported methods (SCA [30], SSA-II [30], CSO [30], THS [30], SSA-I [30], MSSA [30] and FAPSO [29]) in Table 7. It is observed that PSOSSM shows better results as compared to other methods.…”

Section: Medium-scale Test Systemmentioning

confidence: 99%

“…The best results obtained using the proposed method at 49342 MW are reported in Table 8. Table 9 shows the comparison of best fuel cost obtained with the proposed method and other available methods (CCPSO [24], CSA [30], IDE [30], GWO [30] and SSA-II [30]). It is observed that the proposed method shows the overall minimum fuel cost in comparison to the reported methods for the large scale systems, which shows the effectiveness of the proposed method in large scale systems also.…”

Section: Large-scale Test Systemmentioning

confidence: 99%

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Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

2020

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This paper presents the solution of economic power dispatch (EPD) in thermal power plants using the hybridization of particle swarm optimization (PSO) and simplex search method (SSM). EPD is obtaining the best generating schedule to supply the power demand and covering the transmission losses with minimum overall fuel cost. Physical constraints like valve point loading effects, ramp rate limits and prohibited operating zones are also included with basic EPD problem to increase the practicability in the problem. As PSO performs well in finding the global best solution and SSM in finding the local best solution, thus their combination improves the overall minimum results obtained for the generation fuel cost objective function. The performance of the proposed methodology is tested on different test systems having categories of small-scale, medium-scale and large-scale power system problems. The results obtained are then compared with other reported methods to show the superiority of the proposed algorithm.

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Section: Medium-scale Test Systemmentioning

confidence: 66%

Section: Medium-scale Test Systemmentioning

confidence: 99%

Section: Large-scale Test Systemmentioning

confidence: 99%

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Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

2020

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“…A comparison of results using the proposed methods with those from PSO [27], HPSO [27] and MSSA [28] are shown in Table 9, which the proposed method gets a better than the other ways.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Multiple of Hybrid Lambda Iteration and Simulated Annealing Algorithm to Solve Economic Dispatch Problem with Ramp Rate Limit and Prohibited Operating Zones

Takeang

Aurasopon

2019

J. Electr. Eng. Technol.

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Aims This paper presents a multiple hybrid methods combining the lambda iteration and simulated annealing methods (MHLSA) to solve an economic dispatch (ED) problem with smooth cost function characteristics. The constraints of the economic dispatch were load demand and transmission loss. Methods The proposed MHLSA algorithm is a hybrid of the lambda iteration and simulated annealing methods and increases efficiency by adding multiple search mechanisms. It is a sequential execution of an individual hybrid algorithm of the lambda iteration and simulated annealing algorithm (HLSA) using only one personal microcomputer. The MHLSA algorithm introduces additional techniques for improvement of the search processes, such as the hybrid method, scope for multiple adaptive searches, and multiple searches. Results To show its effectiveness, the MHLSA is applied to two systems consisting of three and six power generating units. The optimized results from MHLSA are compared with those from HLSA and from conventional approaches, such as bee colony optimization (BCO), hybrid particle swarm optimization (HPSO) and simulated annealing (SA). Results confirm that the proposed MHLSA approach is capable of obtaining the greater speed of convergence and a higher quality solution efficiently. Conclusions Thus, it has great potential to be implemented in different types of power system optimization problem.

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“…Reference [9] applies a number of PSO variants to the dynamic economic emission dispatch (DEED) problem. Reference [10] proposes a modified version of social spider algorithm and its application to solve the non-convex ED problem. Chaotic bat algorithm is proposed in [11] and hybrid grey wolf optimizer is proposed in [12] are used to solve the non-linear and discontinuous ED problem.…”

Section: Introductionmentioning

confidence: 99%

Solving non-convex economic dispatch with prohibited zones using artificial fish swarm optimization

Ko¹,

Salkuti

Jung

2018

IJET

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In this paper, a novel approach is proposed to solve the non-convex and discontinuous economic dispatch (ED) problem of power system with thermal power plants. All the practical constraints (loss constraint, generators ramp rate constraints and network constraints) are considered for solving the ED problem. Here, the proposed ED problem is solved by considering the generators with valve point loading (VPL) effects and prohibited operating zones (POZs) effects. In this paper, to solve this practical ED problem, an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA) is utilized. The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed ED approach, 3 test systems (3, 6 and 20 generating unit systems) are considered. The obtained results are compared with other algorithms reported in the literature.

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Modified social spider algorithm for solving the economic dispatch problem

Cited by 58 publications

References 52 publications

Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

Multiple of Hybrid Lambda Iteration and Simulated Annealing Algorithm to Solve Economic Dispatch Problem with Ramp Rate Limit and Prohibited Operating Zones

Solving non-convex economic dispatch with prohibited zones using artificial fish swarm optimization

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