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首页> 外文期刊>Renewable Power Generation, IET >Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model
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Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model

机译：使用多目标模型将能量存储和用户体验整合到隔离的微电网调度中

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摘要

In order to coordinate multiple different scheduling objectives from the perspectives of economy, environment, and users, a practical multi-objective dynamic optimal dispatch model incorporating energy storage and user experience is proposed for isolated microgrids. In this model, besides microturbine units, energy storage is employed to provide spinning reserve services for microgirds; and furthermore, from the perspective of demand side management, a consumer satisfaction indicator is developed to measure the quality of user experience. A two-step solution methodology incorporating multi-objective optimisation and decision analysis is put forward to address this model. First, a powerful heuristic optimisation algorithm, called the -dominance based evolutionary algorithm, is used to find a well-distributed set of Pareto-optimal solutions of the problem. Thereby, the best compromise solutions are identified from the entire solutions with the use of decision analysis by integrating fuzzy C-means clustering and grey relation projection. The simulation results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab microgrid test system demonstrate the effectiveness of the proposed approach.
机译：为了从经济，环境和用户的角度协调多个不同的调度目标，针对孤立的微电网，提出了一种结合能量存储和用户体验的实用多目标动态最优调度模型。在该模型中，除微型涡轮机外，还利用能量存储为微型电网提供旋转备用服务。并且，从需求侧管理的角度出发，开发了一种消费者满意度指标来衡量用户体验的质量。提出了一种包含多目标优化和决策分析的两步解决方法来解决该模型。首先，一种强大的启发式优化算法（称为-dominance基于进化算法）用于查找问题的Pareto最优解的分布良好的集合。从而，通过结合模糊C均值聚类和灰色关联投影，使用决策分析从整个解决方案中确定最佳折衷解决方案。在改进的Oak Ridge国家实验室分布式能源控制和通信实验室微电网测试系统上的仿真结果证明了该方法的有效性。

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