Hybrid Mean Variance Mapping Optimization Algorithm for Solving Stochastic Based Dynamic Economic Dispatch Incorporating Wind Power Uncertainty

Shouman, Noha; Hegazy, Yasser G.; Omran, Walid A.

doi:10.1080/15325008.2021.1908449

Cited by 4 publications

(1 citation statement)

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“…The first type of approaches involves mathematical programming methods, such as the lambda iterative method, quadratic programming method, gradient method (D'Angelo and Palmieri, 2021), linear programming method , and Lagrange relaxation method. Shouman et al (2021) and Dey et al (2021) argued that mathematical methods involve considerable amounts of calculations due to the constraints of the generator units and increasing scale of power systems when addressing the ELD problem, and the quality of the solutions cannot be guaranteed. For solving complex ELD problems, the mathematical programming methods are difficult to converge to the optimal solution, and it is easy to fall into the local extreme solution, which reduces the applicability of this method.…”

Section: Literature Reviewmentioning

confidence: 99%

Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem

Chen

Tseng

et al. 2022

Journal of Cleaner Production

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Section: Literature Reviewmentioning

confidence: 99%

Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem

Chen

Tseng

et al. 2022

Journal of Cleaner Production

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Optimal Power Dispatch Problem Incorporating Electric Vehicles

Mahmoud,

Shouman

2023

2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

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Some Properties for Adjustable Entropy Function Method and Its Application to Power Systems Dynamic Economic Dispatch with Wind Integrated

Ren

2021

Journal of Electrical and Computer Engineering

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With the continuous development of the world economy, the development and utilization of environmentally friendly and renewable energy have become the trend in many countries. In this paper, we study the dynamic economic dispatch with wind integrated. Firstly, we take advantage of the positive and negative spinning reserve to deal with wind power output prediction errors in order to establish a dynamic economic dispatch model of wind integrated. The existence of a min function makes the dynamic economic dispatch model nondifferentiable, which results in the inability to directly use the traditional mathematical methods based on gradient information to solve the model. Inspired by the aggregate function, we can easily transform the nondifferentiable model into a smooth model when parameter p tends to infinity. However, the aggregate function will cause data overflow when p tends to infinity. Then, for solving this problem, we take advantage of the adjustable entropy function method to replace of aggregate function method. In addition, we further discuss the adjustable entropy function method and point out that the solution generated by the adjustable entropy function method can effectively approximate the solution of the original problem without parameter p tending to infinity. Finally, simulation experiments are given, and the simulation results prove the effectiveness and correctness of the adjustable entropy function method.

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Hybrid Mean Variance Mapping Optimization Algorithm for Solving Stochastic Based Dynamic Economic Dispatch Incorporating Wind Power Uncertainty

Cited by 4 publications

References 28 publications

Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem

Reducing fuel cost and enhancing the resource utilization rate in energy economic load dispatch problem

Optimal Power Dispatch Problem Incorporating Electric Vehicles

Some Properties for Adjustable Entropy Function Method and Its Application to Power Systems Dynamic Economic Dispatch with Wind Integrated

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