Probabilistic Power Reserve Evaluation Algorithm for Power Systems Considering High Solar Energy Penetration

This paper proposed the probabilistic power reserve evaluation algorithm to assess power reserve capacity in power systems with large solar energy integration. The high power fluctuation of solar generations may cause serious power shortage in the system operation. To compensate solar energy uncertainty, allocating adequate power reserve is necessary when operating power systems. The proposed probabilistic power reserve evaluation algorithm can provide optimal power reserve capacity scheme aiming to minimize the total reserve cost with the consideration of compensating solar power variation and also reducing the overload probability of branch flows. This novel algorithm was tested on IEEE 39-bus system. Simulation results show that the method is effective in determining and allocating the solar power reserve demands.