Open AccessIncrement‐correction method for online distributed optimisation in distribution networks with extra‐high DER integration
Author(s) -
Xie Kaijun,
Liu Mingbo,
Lu Wentian
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0043
Subject(s) - distributed generation , randomness , robustness (evolution) , computer science , mathematical optimization , incentive , voltage , distributed computing , engineering , electrical engineering , mathematics , renewable energy , biochemistry , statistics , chemistry , economics , gene , microeconomics
This study focuses on future distribution networks featuring the integration of extra‐high distributed energy resources (DERs). In these distribution networks, the extra‐high DER penetration and the randomness and volatility of DER outputs increase the likelihood of voltage problems. Hence, it is necessary to design efficient solutions for DER output setpoints to regulate the voltages of distribution networks. However, the existing online distributed algorithms were designed based on different linearised technologies for power flow equations, which will cause imprecise results under extra‐high DER integration. In this study, the authors propose an increment‐correction method to improve the linearised power flow model. To obtain an efficient distributed manner, they introduced an indirect function into the end‐customer (the DER owner)'s objective function, stimulating them to provide voltage‐regulating service. In particular, two price incentive signals contained in the indirect function were transmitted from the distribution system operator to drive the DER owner to regulate output increments, which is suitable for cases where the DER belongs to different end‐customers. The proposed method can not only protect the private information of end‐customers but also enhance the robustness of the distribution network for the DER integration level. Numerical test results demonstrate the merits of the proposed method.