Lightning attachment procedure optimization algorithm for nonlinear non-convex short-term hydrothermal generation scheduling

Mohamed, Maha; Youssef, Abdel‐Raheem; Kamel, Salah; Ebeed, Mohamed

doi:10.1007/s00500-020-04936-2

Cited by 15 publications

(6 citation statements)

References 44 publications

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“…Updated Sf has been obtained based on the comparison of Equations ( 27) and ( 28) in (29). According to (29), updated Sf will be obtained by (27) if the value of Rand 4 is less than 0.5 otherwise it will be obtained by (28).…”

Section: Chaos-based Sine Cosine Algorithmmentioning

confidence: 99%

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Application of chaos assisted sine cosine algorithm on wind–solar integrated hydrothermal scheduling problem

Dasgupta

Roy

Mukherjee

2023

Optim Control Appl Methods

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In recent times, renewable energy sources are essential for generating low‐cost, pollution‐free power. Since the last two decades, hydrothermal coordination system has been used to fulfill the demand power. The traditional generating model's two biggest flaws are high generation cost and excessive fossil fuel emission. In the proposed work, generation process of traditional hydrothermal scheduling (HTS) has been improved by integrating wind–solar energy. To overcome current issues of HTS, that is, excessive emission and generation cost, hydrothermal–solar–wind scheduling (HTSWS) problem has been introduced where two wind and two solar power generating units have been considered with four hydro and three thermal power generating units. Here, effective performance of low cost‐emission based proposed HTSWS has been examined by using chaos‐based sine cosine algorithm (SCA) (CSCA). Chaos has been used in sine cosine function of SCA to improve searching process for finding global optimal results. The proposed CSCA has been used to investigate three separate situations of standard HTS and recommended HTSWS problems including generation cost, emission, and combined cost‐emission. The cost of generation and emissions from conventional HTS can be reduced by 11% and 68%, respectively, by the suggested renewable energy source‐based generation model. The results of several case studies of proposed HTSWS and standard HTS reveal that wind–solar energy is effective in the HTS issue, and chaos assists in the SCA to improve its optimization process. In this study, effectiveness and robustness of the CSCA have been demonstrated by comparing the CSCA‐based results to existing methods for the challenges under consideration.

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Section: Chaos-based Sine Cosine Algorithmmentioning

confidence: 99%

“…Lightning attachment procedure optimization (LAPO) was introduced by Mohamed et al 27 for minimizing generation cost and emission of hydrothermal and thermal generation scheduling problems. Superiority of LAPO was observed by reducing generation cost cost and emission.…”

Section: Introductionmentioning

confidence: 99%

Application of chaos assisted sine cosine algorithm on wind–solar integrated hydrothermal scheduling problem

Dasgupta

Roy

Mukherjee

2023

Optim Control Appl Methods

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“…The suggested MOHGWO outperforms the MOHPSO and Nondominated Sorting Genetic Algorithm III (NSGA-III) by giving lower generation cost of the system. The work in [12] solves the hydro-thermal scheduling problem using the Lightning Attachment Procedure Optimization (LAPO) while considering the transmission losses and the valve point effect loading. The suggested LAPO surpasses the methods like Teaching Learning Based Optimization (TLBO) algorithm, PSO and the ABC algorithm.…”

Section: A Relevant Literaturementioning

confidence: 99%

“…12) Rank the fireflies and compute the updated global best firefly. 13) Repeat the steps (6)- (12) until the solution converges to the final value. 14) Find the total cost of the system using (29).…”

Section: ) Randomly Initialize the Volume Vectors As Fireflies Formentioning

confidence: 99%

Application of Dynamically Search Space Squeezed Modified Firefly Algorithm to a Novel Short Term Economic Dispatch of Multi-Generation Systems

et al. 2021

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“…Reference [309] introduced for the first time the metaheuristic lightening attachment optimization algorithm which mathematically mimics the upward and downward leader movements of lightning arcs. Reference [310], has implemented lightning attachment procedure Optimization (LAPO) algorithm CSTHTS problem considering the valve point loading effects of thermal generators and the power transmission losses.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

et al. 2021

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Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization algorithms. A number of research articles have been published addressing STHTS using different techniques. This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades.INDEX TERMS Short term hydrothermal scheduling, conventional algorithms, meta-heuristic algorithms, no free lunch theorem

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Lightning attachment procedure optimization algorithm for nonlinear non-convex short-term hydrothermal generation scheduling

Cited by 15 publications

References 44 publications

Application of chaos assisted sine cosine algorithm on wind–solar integrated hydrothermal scheduling problem

Application of chaos assisted sine cosine algorithm on wind–solar integrated hydrothermal scheduling problem

Application of Dynamically Search Space Squeezed Modified Firefly Algorithm to a Novel Short Term Economic Dispatch of Multi-Generation Systems

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

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