Optimal Time-of-use Pricing For Solar Power Integrated Distribution Network Considering Random And Fuzzy Environment

Time-of-use (TOU) pricing plays an important role in solar power integrated distribution network for mitigating fluctuation of net load curve. However, as the solar power penetration becomes increasingly, the net load curve has changed significantly because of the intermittent and uncertainty of solar power. In this paper, we propose a conditional value-at-credibility (CVaC) based valley-to-peak minimization (CVaCbVPM) model for determining the optimal TOU pricing under random and fuzzy environment. First, the shortest distance principle and fast iteration algorithm are used to obtain the optimal peak-valley-flat period. Then, a linear load response model of incentive-based demand response is developed with the utilization of price elasticity of demand function to model user consumption behavior. After that, the randomness and fuzziness of solar power are studied with a novel utilization of the CVaC and the CVaCbVPM model is presented to determine the optimal TOU pricing. Finally, the effectiveness of the optimal TOU pricing is valuated in solar power integrated distribution network dispatch problem.