论文标题
关于利用风电场的反应能力潜力的研究不确定电力系统反应性功率优化
Study on Leveraging Wind Farm Reactive Power Potential for Uncertain Power System Reactive Power Optimization
论文作者
论文摘要
本文提出了嵌入在风电场中的反应能力电位（RPP），以提高电源系统的运营安全性和最佳性。首先，分析了三种典型的RPP配置方法，并提出了基于两阶段的鲁棒线性优化方法。这种方法产生了RPP范围，可确保在对风电场的不确定性实现中，可确保风电场运营的安全性。这里采用简化的延伸方程，以在计算准确性和成本之间做出妥协。接下来，引入了不确定的RPP反应性优化问题，系统操作员通过该问题确保系统范围内的安全性和最优性，以及与不确定的集解负载和可再生生成有关的任何可能偏差。在这种不确定的反应性优化中，还捕获了自动生成控制和局部电压控制的稳态模型，然后通过soyster的方法将其转换为可易于解决的确定性优化问题。案例研究在概念上证明了，即使有明显的不确定性，风电场仍然是一种有能力的反应能力资源，提供了相当大的RPP。此外，仿真证实了利用风格RPP在系统范围内的操作安全性和最佳性方面的积极和显着改善，尤其是对于具有高风能渗透率的动力系统。
This paper suggests leveraging reactive power potential (RPP) embedded in wind farms to improve power system operational safety and optimality. First, three typical RPP provision approaches are analyzed and a two-stage robust linear optimization based RPP evaluation method is proposed. This approach yields an RPP range that ensures the security of wind farm operations under any realization of uncertainty regarding the wind farm. Simplified DistFlow equations are employed here for a compromise between computational accuracy and cost. Next, an uncertain RPP-involved reactive power optimization problem is introduced, through which system operators ensure system-wide security and optimality regarding the base case and against any possible deviation caused by uncertain lumped loads and renewable generation. Steady-state models of automatic generation control and local voltage control are also captured in this uncertain reactive power optimization, which is then transformed through Soyster's method into a deterministic optimization problem that is readily solvable. Case studies have conceptually validated that even with notable uncertainty, wind farms are still a competent reactive power resource providing considerable RPP. Also, simulation confirms positive and notable improvement of leveraging wind-farm RPP on system-wide operational security and optimality, especially for power systems with high wind penetration.
