Power Dispatching of Multi-Microgrid Based on Improved CS Aiming at Economic Optimization on Source-Network-Load-Storage

Du, Xiaodong; Wang, Yunlong; Zhao, Jianli; He, Yu‐Ling; Sun, Kening

doi:10.3390/electronics11172742

Cited by 9 publications

(2 citation statements)

References 36 publications

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“…The BFO [ 30 , 31 , 32 ] is a new swarm intelligence algorithm mainly divided into chemotaxis, replication, and dispersal. (BFO’s Short Insights) Traditional BFOs will face problems, such as slow convergence speed, poor accuracy of results, easy to fall into local optimization, and low efficiency of algorithms.…”

Section: An Improved Bacterial Foraging Optimization and Its Applicationmentioning

confidence: 99%

Research on Economic Optimal Dispatching of Microgrid Based on an Improved Bacteria Foraging Optimization

Zhou

2023

Biomimetics

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This paper proposes an improved Bacterial Foraging Optimization for economically optimal dispatching of the microgrid. Three optimized steps are presented to solve the slow convergence, poor precision, and low efficiency of traditional Bacterial Foraging Optimization. First, the self-adaptive step size equation in the chemotaxis process is present, and the particle swarm velocity equation is used to improve the convergence speed and precision of the algorithm. Second, the crisscross algorithm is used to enrich the replication population and improve the global search performance of the algorithm in the replication process. Finally, the dynamic probability and sine-cosine algorithm are used to solve the problem of easy loss of high-quality individuals in dispersal. Quantitative analysis and experiments demonstrated the superiority of the algorithm in the benchmark function. In addition, this study built a multi-objective microgrid dynamic economic dispatch model and dealt with the uncertainty of wind and solar using the Monte Carlo method in the model. Experiments show that this model can effectively reduce the operating cost of the microgrid, improve economic benefits, and reduce environmental pollution. The economic cost is reduced by 3.79% compared to the widely used PSO, and the economic cost is reduced by 5.23% compared to the traditional BFO.

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Section: An Improved Bacterial Foraging Optimization and Its Applicationmentioning

confidence: 99%

Research on Economic Optimal Dispatching of Microgrid Based on an Improved Bacteria Foraging Optimization

Zhou

2023

Biomimetics

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“…In [16], particle swarm optimization (PSO) and genetic algorithm (GA) were used to solve the ED of MMG systems while meeting power system restrictions. In [17], an enhanced cuckoo search algorithm (CSA) was used to present a complete economic model for power dispatch optimization in MMGs. In [18], the PSO was applied to solve the ED problem in the MMG system.…”

Section: Introductionmentioning

confidence: 99%

Economic Dispatch of Multi-Microgrid Systems with Renewable Energy Sources Using Marine Predator Algorithm

Abou El-Ela,

El_Seheimy,

Abdel Aziz

et al. 2023

ERJ. Engineering Research Journal

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The optimal operation of multi-microgrids (MMGs) can be achieved by interconnection of them for power exchange between them and by reducing the total operation costs of different types of renewable energy resources (RERs) in MMGs. Therefore, solving the economic dispatch (ED) problem becomes one of the main challenges for the optimal operation of RERs by finding the optimal scheduling of these sources. This paper presents a procedure based on the marine predator optimizer (MPO) algorithm for solving the ED problem in MMGs. The minimization of total operating costs of RERs and battery energy storage (BES) is considered an objective function (OF) while satisfying the system constraints. The proposed algorithm is applied to twomicrogrid systems connected together for solving the ED problem. The numerical results obtained for separate operation of MGs and MMGs using the proposed MPO are compared with other techniques such as jellyfish search (JS), particle swarm optimization (PSO), and differential evaluation algorithm (DEA) to prove the robustness of the proposed MPO for the economical operation of the MMGs.

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Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading

Zhang,

Wu,

Ren

et al. 2024

Renewable Energy

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Power Dispatching of Multi-Microgrid Based on Improved CS Aiming at Economic Optimization on Source-Network-Load-Storage

Cited by 9 publications

References 36 publications

Research on Economic Optimal Dispatching of Microgrid Based on an Improved Bacteria Foraging Optimization

Research on Economic Optimal Dispatching of Microgrid Based on an Improved Bacteria Foraging Optimization

Economic Dispatch of Multi-Microgrid Systems with Renewable Energy Sources Using Marine Predator Algorithm

Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading

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