An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response
An Optimal Power-Flow Approach to Improve Power System Voltage Stability Using Demand Response
复制标题
利用需求响应提高电力系统电压稳定性的最佳潮流方法
DOI：
--
复制
发表时间：
2019
影响因子：
4.2
通讯作者：
J. Mathieu
中科院分区：
文献类型：
--
作者：
Mengqi Yao;D. Molzahn;J. Mathieu
可再生能源的日益普及促使电力系统更接近其稳定边界，增加了不稳定的风险。本文提出了一种多周期最优潮流方法，该方法通过潮流雅可比矩阵的最小奇异值（SSV）来衡量，利用需求响应负荷来提高稳态电压稳定性。与过去采用甩负荷来提高稳定性的工作相比，我们的方法通过减少和增加单个负载来提高SSV，同时保持总负载恒定以避免系统频率的波动。此外，能量回收期将每个负载的总能量消耗维持在其标称值。该目标函数在能量回收期内平衡了SSV改进与发电成本。我们开发了一个迭代线性规划算法，利用奇异值灵敏度，以获得一个ac-可行的解决方案。我们证明了它的性能在两个IEEE测试系统。结果表明，需求响应行动可以提高静态电压稳定性，在某些情况下，更有效的成本比发电行动。我们还比较了我们的算法的性能，从文献中的迭代非线性规划算法。我们发现，我们的方法是大约6倍的速度时，应用到IEEE 9总线系统，使我们能够证明其性能的IEEE 118总线系统。
The increasing penetration of renewables has driven power systems to operate closer to their stability boundaries, increasing the risk of instability. We propose a multiperiod optimal power-flow approach that uses demand responsive loads to improve the steady-state voltage stability, which is measured by the smallest singular value (SSV) of the power-flow Jacobian matrix. In contrast to past work that employs load shedding to improve the stability, our approach improves the SSV by decreasing and increasing individual loads while keeping the total loading constant to avoid the fluctuation of the system frequency. Additionally, an energy payback period maintains the total energy consumption of each load at its nominal value. The objective function balances SSV improvements against generation costs in the energy payback period. We develop an iterative linear programming algorithm using singular value sensitivities to obtain an ac-feasible solution. We demonstrate its performance on two IEEE test systems. The results show that demand response actions can improve the static voltage stability, in some cases, more cost effectively than generation actions. We also compare our algorithm's performance to that of an iterative nonlinear programming algorithm from the literature. We find that our approach is approximately six times faster when applied to the IEEE 9-bus system, allowing us to demonstrate its performance on the IEEE 118-bus system.