Reserve Capacity Allocation and Optimization Method of Power Systems with Renewable Energy

Abstract

Large scale access of new energy is the general trend of power systems. The randomness and volatility of new energy pose a greater challenge to the demand for reserve capacity of power systems. Aiming at the reserve capacity characteristics of power systems with large-scale access of wind-driven generators and energy storage, this paper studies the allocation method of reserve capacity of power system and its optimal distribution method between the generating units powered by traditional and new energy in order to maintain a certain level of economy and reliability. In terms of reserve capacity allocation, considering the forced outage rate of different type of generating units, the uncertain output power characteristics and reliability index characteristics of wind-driven generators generation, the equivalent electric quantity function method is used to calculate the reserve capacity required by the energy storage devices. On this basis, the output power of each generating unit and energy storage device is optimized using immune particle swarm optimization algorithm to achieve the optimal economy. The example simulation shows that this method can ensure the reasonable optimization of reserve power when the power system meets the reliability and economy, and then improve the overall operation efficiency of regional power grid.