Multiobjective Scheduling of an Active Distribution Network Based on Coordinated Optimization of Source Network Load

Abstract

With the development of active distribution networks, the means of controlling such networks are becoming more abundant, and simultaneously, due to the intermittency of renewable energy and the randomness of the demand-side load, the operating uncertainty is becoming serious. To solve the problem of source–network–load coordination scheduling, a multiobjective scheduling model for an active distribution network (ADN) is proposed in this paper. The operating cost, renewable energy utilization rate, and user satisfaction are considered as the optimization objectives, and the distributed generation (DG) output power, switch number, and incentive price for the responsive load are set as the decision variables. Then the probabilistic power flow based on Monte Carlo sampling and the chance-constrained programming are used to deal with the uncertainty of the ADN. Moreover, the reference point–based many-objective evolutionary algorithm (NSGA3) is used to solve this nonlinear, multiperiod, and multiobjective optimization problem. The effectiveness of the proposed method is verified in the modified IEEE 33-bus distribution system. The results show that the proposed scheduling method can effectively improve the system status.

Probabilistic framework for transient stability contingency ranking of power grids with active distribution networks: application in post disturbance security assessment

“…In addition, the PDF of the load is assumed normal distribution. The characteristics of load and generation PDFs are adopted from [3, 26, 52].…”

Research on Multi-Energy Coordinated Intelligent Management Technology of Urban Power Grid Under the Environment of Energy Internet

“…In the coordinated operation of the power system with large-scale intermittent renewable energy generators, the inherent uncertainty of renewable energy cannot be eliminated, which means other power sources have to make up for it [29,30]. When the intermittent power supply with a high proportion is suddenly increased or absent, the operating cost and efficiency of other units will be affected [31,32].…”

A Distributed and Robust Optimal Scheduling Model for an Active Distribution Network With Load Aggregators

“…The power loss and voltage fluctuation of the ADN can be decreased by utilizing the flexibility of the smart buildings. A multi-objective scheduling model for ADN based on sourcenetwork-load coordination scheduling is proposed in the article (Yong et al, 2018). The operating cost, renewable energy utilization rate and users' satisfaction are considered as the optimization objectives.…”