Mapping demand flexibility: A spatio-temporal assessment of flexibility needs, opportunities and response potential
Mapping demand flexibility: A spatio-temporal assessment of flexibility needs, opportunities and response potential
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DOI：
10.1016/j.apenergy.2021.117015
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发表时间：
2021-08
期刊：
影响因子：
11.2
通讯作者：
O. Agbonaye;P. Keatley;Ye Huang;Oluwasola O. Ademulegun;N. Hewitt
中科院分区：
文献类型：
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作者：
O. Agbonaye;P. Keatley;Ye Huang;Oluwasola O. Ademulegun;N. Hewitt
需要需求灵活性来应对供暖和运输部门脱碳以及整合大部分间歇性可再生能源发电的挑战。虽然现有文献已经提供了用于估计一些柔性设备的响应潜力的模型，但是它们尚未被应用于评估位置中的响应是否足以解决电网问题。网格问题，如约束和约束，是地理问题，因此可以通过GIS分析进行研究。本文提出了一种时空评估的需求灵活性的机会，响应潜力和充分解决各种电网问题的一个国家的方法。我们提供了一种方法，可用于连接的电力网络与社会人口的空间数据时，低电压网络的数据是不可用的k-最近邻分类算法。所提出的方法是能够匹配的准确度为60- 94%的主要变电站的街区。通过根据各种指标对社区进行细分，我们进行了落后分析，以确定在能源转型中有可能落后的弱势消费者群体，并提出了一个灵活性优先级模型，以确保在所有地点公平分配灵活性机会。最后，我们提出了北方爱尔兰需求的灵活性地图，系统规划人员使用的互动工具，以帮助制定一个有效的灵活性战略，以及灵活性的实施途径北方爱尔兰。
Demand flexibility is needed to manage the challenges of decarbonising the heating and transport sectors and integrating large shares of intermittent renewable generation. While existing literature has provided models for estimating the response potential of some flexible devices, they have not been applied to assess if the response in a location is sufficient to solve the grid issue. Grid issues such as constraint and congestions are geographical issues and hence can be studied through GIS analysis. This paper presents a methodology for the spatio-temporal assessment of demand flexibility opportunities, response potential and adequacy in solving various grid issues of a country. We provide a method that may be used to link the electrical network with socio-demographic spatial data when the low voltage network data is not available using the k-nearest neighbour classification algorithm. The proposed method was able to match neighbourhoods with their primary substation with an accuracy of 60–94%. By segmenting neighbourhoods based on various metrics, we perform a left-behind analysis to identify vulnerable consumer groups at risk of being left behind in the energy transition and propose a flexibility prioritisation model that ensures a fair distribution of flexibility opportunities across all locations. Finally, we present the Northern Ireland demand flexibility map, an interactive tool for use by system planners to help in developing an effective flexibility strategy as well as a flexibility implementation pathway for Northern Ireland.