Research on multiobjective capacity configuration optimization
Based on this model, a new improved beluga whale optimization algorithm is proposed to solve the multiobjective optimization problem in the capacity allocation process of
An optimal capacity configuration model of the grid-connected microgrid is proposed, which comprehensively considers economic cost, renewable energy utilization efficiency and carbon emissions. Through the combination with the previous work, it provides a new solution to the problem of microgrid planning.
Authors to whom correspondence should be addressed. The capacity configuration of the energy storage system plays a crucial role in enhancing the reliability of the power supply, power quality, and renewable energy utilization in microgrids.
An optimal grid-connected microgrid capacity configuration model is proposed. A case study is carried out to validate the proposed capacity planning solution. Microgrid is considered an efficient paradigm for managing the massive number of distributed renewable generation and storage facilities.
For the capacity configuration of island microgrid, an optimization model is proposed in based on the life cycle cost of distributed generation, which considers the uncertainty of wind power and solar power. A novel configuration of microgrid with the incorporation of turbo-expander is presented in .
Based on this model, a new improved beluga whale optimization algorithm is proposed to solve the multiobjective optimization problem in the capacity allocation process of
The improved sparrow search algorithm (ISSA) is used to optimize the microgrid capacity configuration model, including the introduction of a Logistic-Tent composite chaotic mapping
In this paper, a structure of a microgrid based on multi-agent system (MAS) is established, and a game-theory-based optimization model is presented for the capacity configuration of these
The energy storage capacity configuration of microgrids with renewable energy considering demand response is of great significance for reducing microgrid costs, improving
The capacity configuration of the energy storage system plays a crucial role in enhancing the reliability of the power supply, power quality, and renewable energy utilization in microgrids.
This paper investigates the issues of topology design and capacity configuration in multi-microgrid (MMG) systems. Firstly, we analyze the limitations of current researches about MMG planning, which
As the penetration of grid-following renewable energy resources increases, the stability of microgrid deteriorates. Optimizing the configuration and scheduling of grid-forming energy storage is
To improve the accuracy of capacity configuration of ES and the stability of microgrids, this study proposes a capacity configuration optimization model of ES for the microgrid, considering
Abstract: Aiming at the problem that the battery energy storage equipment in microgrid is too fast and the capacity configuration is too high, this paper establishes an optimal configuration
An optimal capacity configuration model of the grid-connected microgrid is proposed, which comprehensively considers economic cost, renewable energy utilization efficiency and carbon
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