电池储能实功和无功功率调度的日前实时联合调度方法

B. Bhatti, Sarmad Hanif, M. Alam, T. Mcdermott, P. Balducci
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引用次数: 7

摘要

针对电池储能系统(BESS)的实功和无功调度问题,提出了一种超前和实时相结合的优化调度方法。前瞻性调度代理通过查看预测电价、电网约束和BESS运行情况,生成真实的电力调度计划,实现利润最大化,实质上是实现能源套利功能。当此调度被遵循时,实时优化代理使用最优潮流框架计算最优无功设定点(针对特定目标函数)。这些概念通过对遗留工具的联合仿真来实现,并在一个大型的真实分布系统上进行了演示。除了从能源套利中获利外,最优无功设定点计算的结果是获得理想的网络属性,如平坦的电压分布和最小化电压与期望值的偏差。
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A Combined Day-ahead and Real-time Scheduling Approach for Real and Reactive Power Dispatch of Battery Energy Storage
A combined day-ahead (look-ahead) and real-time optimization approach is proposed to schedule Battery Energy Storage System (BESS) real and reactive power dispatch. The look ahead scheduling agent maximizes profit and essentially performs the function of energy arbitrage by looking at forecasted prices, network constraints and BESS operating conditions to generate real power dispatch schedule. While this schedule is followed, the real time optimization agent computes an optimum reactive power set-point (for a particular objective function) using optimal power flow framework. The concepts are implemented by co-simulation of the legacy tools and demonstrated on a large real-world distribution system. In addition to the profits from energy arbitrage, optimum reactive power set point computation results in achieving desirable network attributes like flat voltage profiles and minimizing voltage deviations from desired value.
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