考虑弃风和备用的风光电力优化调度
Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants
AI总结：
本文提出基于加权机会约束的优化调度框架，用于整合风力发电的新型控制方式，评估其在运营成本、系统安全性和弃风方面的有效性。
摘要：
近年来，风力发电在欧洲和美国多个电力系统中的占比已显著提高。为应对可再生能源波动性和部分不可预测性，传输系统运营商（TSO）已增加备用容量要求，并要求风力发电场具备提供备用或跟随有功功率设定信号的能力。本文针对如何高效地将这些新型风力发电控制纳入日前运营规划问题。我们回顾了风力发电场必须满足的技术要求，并提出了一种用于建模风力发电控制的数学框架。该框架基于带有加权机会约束的优化功率流公式，考虑风力发电预测的不确定性，并允许限制约束违反的风险。在基于IEEE 118节点系统的案例研究中，我们使用所开发的方法评估不同类型的风力发电控制在运营成本、系统安全性和弃风方面的有效性。
英文摘要：
Over the past years, the share of electricity production from wind power plants has increased to significant levels in several power systems across Europe and the United States. In order to cope with the fluctuating and partially unpredictable nature of renewable energy sources, transmission system operators (TSOs) have responded by increasing their reserve capacity requirements and by requiring wind power plants to be capable of providing reserves or following active power set-point signals. This paper addresses the issue of efficiently incorporating these new types of wind power control in the day-ahead operational planning. We review the technical requirements the wind power plants must fulfill, and propose a mathematical framework for modeling wind power control. The framework is based on an optimal power flow formulation with weighted chance constraints, which accounts for the uncertainty of wind power forecasts and allows us to limit the risk of constraint violations. In a case study based on the IEEE 118 bus system, we use the developed method to assess the effectiveness of different types of wind power control in terms of operational cost, system security and wind power curtailment.
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