Quantitative Risk Management by Demand Response in Distribution Networks
Quantitative Risk Management by Demand Response in Distribution Networks
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DOI：
10.1109/tpwrs.2017.2728610
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发表时间：
2018-03
影响因子：
6.6
通讯作者：
K. Sgouras;Dimitrios I. Dimitrelos;A. Bakirtzis;D. Labridis
中科院分区：
文献类型：
--
作者：
K. Sgouras;Dimitrios I. Dimitrelos;A. Bakirtzis;D. Labridis
需求响应（DR）是一种多功能工具，能够提供复杂的解决方案和有竞争力的服务。目前，公用事业追求这样的服务，作为可靠性的改善，通过不断的基础设施投资和维护。在许多情况下，DR可以提供可靠性优势，因为它允许配电网络运营商在紧急情况即将发生时重塑负荷分布。DR效益的量化对于了解其对电力部门的经济和财务影响是必要的。风险管理中使用的方法可为此目的加以调整。在本文中，我们提出了一种方法来建立一个详细的可靠性模型，以评估预期的可靠性指标，并通过DR在配电网的可靠性性能的财务风险管理基于性能的监管。所提出的方法的结果是量化的DR投资组合的风险和回报之间的关系，在条件风险价值和预期回报，分别。结果表明，该方法可以作为一个决策支持系统的最佳DR分配之间的可靠性性能风险和期望回报有效的权衡。
Demand response (DR) is a versatile tool capable of providing sophisticated solutions and competitive services. Currently, the utilities pursue such services, as the reliability improvement, by continuous infrastructure investment and maintenance. In many cases, DR can provide reliability benefits, as it allows distribution network operators to reshape the load profile when a contingency is imminent. The quantification of the DR benefits is necessary to understand its economic and financial impact on the power sector. Methodologies used in risk management can be adapted for this purpose. In this paper, we propose a method to build a detailed reliability model, to assess the expected reliability indices, and to manage the financial risk of the reliability performance by DR in distribution networks subject to performance-based regulation. The outcome of the proposed method is the quantification of the relation between the risk and return of DR portfolios, in terms of conditional value-at-risk and ex-pected return, respectively. The results demonstrate that the method can be used as a decision support system for optimal DR allocation to trade off efficiently between the reliability performance risk and the expected return.