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Techno‐economic potential of battery energy storage systems in frequency response and balancing mechanism actions

机译:频率响应和平衡机制动作电池储能系统的技术经济潜力

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摘要

Batteries offer a combination of balancing and regulation services within a smart grid to improve its resilience and flexibility. Maintaining an acceptable state of health and the highest rate of return requires dynamic modelling of the asset and rigorous optimisation. The authors compare the technical cost and economic benefit of battery employment in dynamic frequency and balancing mechanism actions in a smart grid. They use the services procured by National Grid in the UK as a case study but the methodology is globally applicable, including developing grid infrastructures. Their methodology yields the most optimum scenario of service participation, accounting for the dynamic degradation and considering variable pricing of electricity throughout the day. Additionally, it advises the most optimal despatch schedule and price declarations for the battery over the course a day and a year, employing particle swarm optimisation algorithm and historic data. Their results demonstrate that ordinarily frequency response is preferred due to its lower technical toll and payments for availability rather than despatch. However, the proposed despatch schedule including both services provides the highest profit. They anticipate this methodology to become the basis for more sophisticated battery models that integrate the service despatch optimisation, dynamic lifetime degradation and economic analysis.
机译:电池在智能电网内提供平衡和调节服务的组合,以提高其弹性和灵活性。维持可接受的健康状况和最高的回报率需要动态建模资产和严格的优化。作者比较了智能电网中动态频率和平衡机制动作的电池就业的技术成本和经济效益。他们使用英国国家网格采购的服务作为案例研究,但该方法是全球适用的,包括开发网格基础设施。它们的方法产生了最佳的服务参与情景,占动态下降,并考虑到整天电力的可变定价。此外,它还向电池提供最佳的发货时间表和价格声明,在一天和一年内,采用粒子群优化算法和历史数据。它们的结果表明,由于其技术收费较低和可用性而不是发货的付款,通常优先响应。但是,包括这两个服务的拟议发货时间表提供了最高利润。他们预计该方法是在更复杂的电池模型的基础上集成了服务发货优化,动态寿命劣化和经济分析。

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