Economic Capacity Assessment of Renewables in Distribution Networks

Based on the robust optimization method, considering the safe operation and economic objectives, the capacity of distributed power generation and energy storage in the distribution network is optimized. According to historical data and probability distributions of the uncertain wind, solar and load, multiple scenarios of these uncertainties are generated, and the uncertainty set describing these uncertainties is established using these operation scenarios. Then, based on the uncertainty set, a two-level robust optimization model is established. The outer-level model searches for the economically worst operation scenario in the uncertainty set. The inner-level model optimizes the capacity of wind, solar and energy storage in the worst scenario, taking into account the security constraints of distribution network. Compared with the capacity allocation results of the traditional method using typical operation scenarios, the capacities allocated in this paper are smaller, and can meet the condition of safe operation in the distribution network, with higher economic performance.