Value of demand flexibility for managing wind energy constraint and curtailment
Value of demand flexibility for managing wind energy constraint and curtailment
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DOI：
10.1016/j.renene.2022.03.131
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发表时间：
2022-03
期刊：
影响因子：
8.7
通讯作者：
O. Agbonaye;P. Keatley;Ye Huang;O. F. Odiase;N. Hewitt
中科院分区：
文献类型：
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作者：
O. Agbonaye;P. Keatley;Ye Huang;O. F. Odiase;N. Hewitt
多余风能的分配日益受到关注，特别是对于那些整合了高水平可变可再生能源的国家。需求灵活性提供了一个机会，将消费者负荷转移到风能过剩的时期，这可以为系统提供许多价值。虽然以前的研究集中在管理风能削减（一个全系统问题），但由于限制（一个局部问题），许多风能被拒绝，因此只能通过当地的按需负荷来解决。本文提供了一个框架来评估需求灵活性对管理风能约束和弃风的价值。开发了一种确定最佳用户数量的方法，以产生足够的多余风能减少，同时确保用户的合理成本节约。分析表明，这一最优用户数量可以减少67%的约束，减少74%的弃电。消费者每年最多可以节省220英镑，这取决于他们在配送过程中的优先级。一个10兆瓦的风电场每年可以从避免弃风中赚取1.94万英镑。系统运营商可以节省高达78%的限制性付款。本文还评估了灵活负荷对电网的影响，并提供了一种计算电网热泵承载能力的方法。
The dispatch-down of excess wind energy is a growing concern, especially for countries integrating high levels of variable renewable energy. Demand flexibility presents an opportunity to move consumers loads to periods of excess wind energy, which could provide numerous values to the system. While previous research has focused on managing wind energy curtailment (a system-wide issue), much wind energy is rejected due to constraint (a local issue) and hence can only be resolved by local load-on-demand. This paper provides a framework to assess the value of demand flexibility for managing wind energy constraint and curtailment. A methodology to determine the optimal number of subscribers to yield sufficient reduction in excess wind energy while ensuring reasonable cost savings for the subscribers is developed. Analysis shows that this optimal number of subscribers could provide a 67% reduction in constraint and a 74% reduction in curtailment. Consumers can save up to £220 per year, depending on their priority in the dispatch process. A 10-MW wind farm could earn £19,400 annually from avoided curtailments. System operators could save up to 78% on constraint payments. The paper also assesses the network impact of flexible loads and provides a methodology for calculating the heat-pump hosting capacity of the grid.