Reliability Evaluation of Active Distribution Networks Considering Customer Satisfaction

AbstractReliability evaluation of active distribution networks (ADNs) considering customer satisfaction is studied in this paper. Operation optimization of ADNs is innovatively integrated into the reliability evaluation by a Sequential Monte Carlo (SMC) simulation. The operation optimization aims to minimize the operation cost of ADNs, however, during the optimization, customers have to change their electricity consumption habit, which affects customer satisfaction and the reliability of customers and ADNs. Two kinds of customer satisfaction indices are defined as constrains in the operation optimization to quantify these effects. Extensive studies are conducted on an IEEE standard test system. Optimal operation cost and reliability indices are obtained from the SMC simulation, which validate the presented models and methods. The evaluation results accurately quantify the reliability and economic performance of ADNs, and provide helpful suggestions for distribution system operators (DSOs) to effectively improve the reliability and operation economy of ADNs using demand resources