论文标题
电池储能系统的实时控制，以提供辅助服务，考虑到DC-AC转换器的电压依赖性功能
Real-time Control of Battery Energy Storage Systems to Provide Ancillary Services Considering Voltage-Dependent Capability of DC-AC Converters
论文作者
论文摘要
频率响应和电压支持是电网的重要辅助服务。在本文中，我们设计和实验验证了电池储能系统（BESS）的实时控制框架，以向电网提供辅助服务。控制系统的目的是利用BESS提供辅助服务的全部能力。我们将DC-AC转换器的电压依赖性功能曲线和BESS的安全要求作为控制系统的约束。初始功率设定点是根据下垂控制方法获得的。为了确保功率设定点相对于转换器功能和BESS安全性约束的可行性，最终的功率设定点计算被公式为非convex优化问题。然后提出了对原始控制问题的凸面和计算有效的重新重新制定。我们证明，所提出的凸优化为原始非凸问题提供了全局最佳解决方案。我们通过离散优化模型的可行区域来提高该算法的计算性能。在EPFL校园的实用程序尺度720 kVA / 560 kWh bess的实验验证中，我们实现了控制器设定点计算的100毫秒更新时间。
Frequency response and voltage support are vital ancillary services for power grids. In this paper, we design and experimentally validate a real-time control framework for battery energy storage systems (BESSs) to provide ancillary services to power grids. The objective of the control system is to utilize the full capability of the BESSs to provide ancillary services. We take the voltage-dependent capability curve of the DC-AC converter and the security requirements of BESSs as constraints of the control system. The initial power set-points are obtained based on the droop control approach. To guarantee the feasibility of the power set-points with respect to both the converter capability and BESS security constraints, the final power set-points calculation is formulated as a nonconvex optimization problem. A convex and computationally efficient reformulation of the original control problem is then proposed. We prove that the proposed convex optimization gives the global optimal solution to the original nonconvex problem. We improve the computational performance of this algorithm by discretizing the feasible region of the optimization model. We achieve a 100 ms update time of the controller setpoint computation in the experimental validation of the utility-scale 720 kVA / 560 kWh BESS on the EPFL campus.
