Multi-Objective Bilevel Coordinated Planning of Distributed Generation and Distribution Network Frame Based on Multiscenario Technique Considering Timing Characteristics

This paper presents a novel approach to planning distributed generation (DG) and distribution network frames based on a multiscenario technique. In view of the uncertainties of the load and intermittence of the DG output, the annual timing characteristics are analyzed, and the daily load and output of DG are divided into several typical situations according to respective influence factors. In the target planning year, the uncertain units are simulated using the typical daily forecast values, then the probability models are established considering the forecast errors; finally, multiple scenarios are achieved through Latin hypercube sampling and sample reduction. In view of the interaction of DG and distribution network frames, a bilevel coordinated planning model is proposed, in which the upper level planning is aimed to achieve the integrated optimal decision and the goal of the lower level planning is to comprehensively consider the benefits of DG. Finally, hybrid chaos binary particle swarm optimization based on Pareto set theory and niche sharing is applied to make a nested solving of the model, and the superiority and effectiveness of the proposed model are verified in the IEEE 33-node and 69-node distribution systems as the test cases.