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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纳入孤立的微电网调度

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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，提出了一种具有能量存储和用户体验的实际的多目标动态最佳调度模型，用于孤立的微电网。在该模型中，除了MicroCurbine单元之外，还采用储能来为微细钻提供纺纱储备服务;此外，从需求方管理的角度来看，开发了消费者满意度指标来衡量用户体验的质量。提出了一种具有多目标优化和决策分析的两步解决方法来解决此模型。首先，一种强大的启发式优化算法，称为 - 基于群中的进化算法，用于找到问题的分布式帕累托 - 最佳解决方案。由此，通过将模糊C均值聚类和灰色关系投影集成使用决策分析，从整个解决方案中识别出最佳的折衷解决方案。改进的橡木岭国家实验室分布能量控制和通信实验室微电网测试系统的仿真结果证明了所提出的方法的有效性。

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