A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Energies

Zhe Chen¹  Jiuchun Jiang²  Wei Wang²  Weige Zhang²  Rui Li² 

[1] Department of Energy Technology, Aalborg University, DK9220 Aalborg, Denmark;National Active Distribution Network Technology Research Center (NANTEC), Beijing JiaoTong University, Beijing 100044, China;

关键词: distributed energy resources;    planning model;    active distribution system;    distribution network planning;    optimization program;   

DOI  :  10.3390/en10111715

来源: DOAJ

【 摘 要 】

Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders.

【 授权许可】

Unknown