Large‐scale multi‐zone optimal power dispatch using hybrid hierarchical evolution technique

Pandit, Manjaree; Srivastava, Laxmi; Sharma, Manisha; Dubey, Hari Mohan; Panigrahi, Bijaya Ketan

doi:10.1049/joe.2013.0262

Cited by 20 publications

(10 citation statements)

References 36 publications

(106 reference statements)

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“…The test system for case B is composed of 10 thermal generation units without considering network losses and with the total power demand P D = 2,700 MW. This section also considers 2 typical nonconvex ELD problems: type 1, an ELD problem with considering only the MF constraint, and type 2, an ELD problem with considering both the Tables 10 and 11 present the obtained optimal solutions with total fuel cost ($/h) using CFA algorithm in comparison with the reported algorithms such as CGA_MU, 25 IGA_MU, 25 and EGSSOA 124 for type 1, and IGA_MU, 25 NPSO-LRS, 33 M_DE, 54 CBPSO-RVM, 10 and HHE 54 for type 2. The results show that the electrical power generation costs obtained via CFA algorithm are lower and more efficient than those reported solutions of other algorithms for both problems of this case.…”

Section: Simulation Results Of Eld Problemmentioning

confidence: 99%

“…The data for 2 problems of the case B are available in Chiang . Tables and present the obtained optimal solutions with total fuel cost ($/h) using CFA algorithm in comparison with the reported algorithms such as CGA_MU, IGA_MU, and EGSSOA for type 1, and IGA_MU, NPSO‐LRS, M_DE, CBPSO‐RVM, and HHE for type 2. The results show that the electrical power generation costs obtained via CFA algorithm are lower and more efficient than those reported solutions of other algorithms for both problems of this case.…”

Section: Cfa For Solving Eld Problemsmentioning

confidence: 99%

“…They are not always effective and cannot guarantee the global optimal solution for different nonconvex and nonsmooth objective functions in power systems. [18][19][20][21][22][23] Recently, many inspired optimization algorithms have been used to solve the nonsmooth and nonconvex ELD problems, such as genetic algorithm (GA) 24 and its related algorithms, [24][25][26] particle swarm optimization (PSO), 27,28 which is applied to various techniques for solving ELD in the literature, differential evolution algorithms (DEs), [50][51][52][53][54] Tabu search, 55 and evolutionary programming strategies. 56,57 Some other optimization techniques have been also applied for solving ELD problems.…”

Section: 10 54-unit Yes Yes Yes Yes Yesmentioning

confidence: 99%

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CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

Ghasemi

Ghavidel

Aghaei

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper presents a new efficient algorithm inspired by Franklin's and Coulomb's laws theory that is referred to as CFA algorithm, for finding the global solutions of optimal economic load dispatch problems in power systems. CFA is based on the impact of electrically charged particles on each other due to electrical attraction and repulsion forces. The effectiveness of the CFA in different terms is tested on basic benchmark problems. Then, the quality of the CFA to achieve accurate results in different aspects is examined and proven on economic load dispatch problems including 4 different size cases, 6, 10, 15, and 110‐unit test systems. Finally, the results are compared with other inspired algorithms as well as results reported in the literature. The simulation results provide evidence for the well‐organized and efficient performance of the CFA algorithm in solving great diversity of nonlinear optimization problems.

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Section: Simulation Results Of Eld Problemmentioning

confidence: 99%

Section: Cfa For Solving Eld Problemsmentioning

confidence: 99%

Section: 10 54-unit Yes Yes Yes Yes Yesmentioning

confidence: 99%

See 1 more Smart Citation

CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

Ghasemi

Ghavidel

Aghaei

et al. 2018

Int Trans Electr Energ Syst

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“…The PSO_TVAC technique is known to possess high capability for exploration of large search spaces [46,52]. Therefore for stage one optimization PSO_TVAC was applied.…”

Section: Global Search Using Pso Stagementioning

confidence: 99%

“…But for large, complex and constrained optimization problems a single algorithm usually converges to sub-optimal solutions due to premature convergence. Normally, hybrid methods are found to perform well In such conditions [11,15,23,46]. In this paper a multi-objective series hybrid of popular PSO and DE techniques is proposed.…”

mentioning

confidence: 99%

Multi-period wind integrated optimal dispatch using series PSO-DE with time-varying Gaussian membership function based fuzzy selection

Pandit¹,

Chaudhary²,

Dubey³

et al. 2015

International Journal of Electrical Power & Energy Systems

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A comprehensive review of soft computing algorithms for optimal generation scheduling

et al. 2020

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Summary Strategic planning for optimal operation of modern power systems has always been a significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the light of restructured power systems and decentralized generation, the economic dispatch (ED) problem has remained the utmost important economic assignment for the network operators. The conventional techniques have failed to address the nonlinear characteristics of generators for solving the practical ED problem. The complications identified in the literature are valve point loading, prohibited operating zones, multiple fuels, ramp rate limits, and spinning reserve. Therefore, a diverse range of traditional and modern optimization techniques have been adopted to tackle those complexities and nonlinearities. With the recent advancements in centralized optimization techniques, several research works were reported in the past decade to accomplish better results. This review paper endeavors to cover the pioneering research on centralized approaches as well as present‐day research trends on decentralized and distributed approaches by focusing on the economic aspects. First, a detailed survey of several deterministic, stochastic, nature‐inspired, and meta‐heuristic based centralized approaches for solving the ED problem is reviewed. A brief analysis based on the performance evaluation of centralized algorithms on six standard test systems is presented. Then, the recent literature on decentralized and distributed optimization approach and the consensus protocols with respect to various network topologies is briefly reviewed. The prime objective of this review is to summarize the centralized, decentralized, and distributed approaches to solve the classic dispatch, dynamic dispatch, economic emission dispatch, and multi‐area ED problems.

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Large‐scale multi‐zone optimal power dispatch using hybrid hierarchical evolution technique

Cited by 20 publications

References 36 publications

CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems

Multi-period wind integrated optimal dispatch using series PSO-DE with time-varying Gaussian membership function based fuzzy selection

A comprehensive review of soft computing algorithms for optimal generation scheduling

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