Small-signal stability constrained optimal power flow based on real-time data

Modern power system is getting larger and complicated. Once it comes an accident, engineers need to make decision in a very short time which is a huge challenge for them. Thanks to the development of computer network and electrical equipment, nowadays power system has been achieved the goal of in formation resources sharing. The small-signal stability problem has been getting attention because of the occasional oscillation. Though numbers of measures are taken into account to enhance the small-signal stability, sometimes it would not help. Based on this actuality, this paper prospect a new method that can increase small-signal stability by adjusting power flow. The model considered small-signal stability constrained-optimal power flow (SSSC-OPF) by adding small-signal stability index into the OPF model. In fact, it does not substitute any other existing controller actions, but rather provides limited generator adjustment to obtain the required stability margin. By getting the real-time operation data from database, analyzing and forming into the specific format we need. Then calculating the power flow and small-signal stability of the current point. If the stability index is not met, the algorithm will optimize the active power output until the damping ratio is high enough. Numerical simulations for two systems confirm the validity of the method and the robustness of the algorithm, so that can be widely used in practical system.