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Optimisation framework for the design and operation of open-market urban and remote community microgrids

机译:开放式城市和偏远社区微电网设计和运行的优化框架

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摘要

In this article, a new business model considering multiple stakeholders is proposed to develop a framework for third-party investment and future flexible retail electricity market in community microgrids. The proposed two-stage optimisation platform generates opportunities for multiple stakeholders to invest in the design of community microgrids, comprising multiple and different distributed energy resources such as renewable generation units, battery energy storage systems, and micro diesel engines, to minimize daily operational costs of the system. To proliferate the prosumers in retail energy markets as per the Office of Gas and Electricity Markets, United Kingdom, a peer-to-peer energy trading and energy management scheme is also proposed. The optimal sizing of urban and remote community microgrids are determined in stage-1, followed by their optimal operations to minimise the daily operating cost of the community system in stage-2. An improved version of the genetic algorithm is employed to optimise decision variables in both the stages. Different cases are investigated which show the tremendous potential of revenue generation for all stakeholders while effectively optimizing techno-economic operations of microgrids.
机译:在本文中,提出了一种考虑多个利益相关者的新业务模型,以开发一个用于第三方投资和社区微电网中未来灵活的零售电力市场的框架。拟议的两阶段优化平台为多个利益相关者提供了机会来投资社区微电网的设计,该社区微电网包括多种和不同的分布式能源,例如可再生能源发电单元,电池储能系统和微型柴油机,以最大程度地减少太阳能发电的日常运营成本系统。为了扩大零售能源市场中的生产者,根据英国天然气和电力市场办公室,还提出了对等能源交易和能源管理计划。在阶段1中确定城市和偏远社区微电网的最佳规模,然后对其进行优化操作以最大程度地降低阶段2中社区系统的日常运营成本。遗传算法的改进版本用于在两个阶段中优化决策变量。调查了不同的案例,这些案例显示了所有利益相关者产生收入的巨大潜力,同时有效地优化了微电网的技术经济运营。

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