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Optimisation framework for the operation of battery storage within solar-rich microgrids

机译:太阳能富型微电网中电池存储操作的优化框架

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The growing trend of distributed generation, such as solar photovoltaic (PV) systems and small scale wind turbines have promoted the development of microgrids which are highly dependent on renewable energy. Due to the intermittent nature of renewable energy, these microgrids are generally equipped with energy storage, such as batteries. Batteries are generally operated using fixed control methods, often deviating from the optimal operation. This aspect has created an opportunity to gain improved outcomes for microgrid owners and operators. This research study describes a pathway for designing an optimisation framework which can be used to optimise the charge and discharge operation of battery storage within a microgrid containing a solar PV system. Optimisation is implemented in terms of gaining maximum cost benefit for microgrid owners. The advantages of using model predictive control optimisation compared to fixed control methods for this particular problem, solvers and verification procedures are highlighted. A case study is provided with results including analysis of battery operation, energy usage, and impact on overall tariff. The study describes each step of the control and optimisation platform development ensuring readers to be able to replicate the process utilised.
机译:越来越多的分布式发电趋势,例如太阳能光伏(PV)系统和小型风力涡轮机促进了微电网的开发,其高度依赖于可再生能量。由于可再生能源的间断性,这些微电网通常配备有储能,例如电池。电池通常使用固定控制方法操作,通常偏离最佳操作。这个方面创造了一个机会,以获得微电网所有者和运营商的改进的结果。该研究研究描述了一种用于设计优化框架的途径,该途径可用于优化含有太阳能光伏系统的微电池内电池存储器的充电和放电操作。优化在获得MicroGrid所有者的最大成本效益方面实现了优化。使用模型预测控制优化的优点与该特定问题的固定控制方法相比,求解了求解器和验证程序。提供了案例研究,结果包括分析电池运行,能源使用和对整体关税的影响。该研究描述了控制和优化平台开发的每个步骤,确保读者能够复制所使用的过程。

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