Rolling horizon based multi-objective robust voltage/VAR regulation with conservation voltage reduction in high PV-penetrated distribution networks

• Published in: IET generation, transmission & distribution Vol. 13; no. 9; pp. 1621 - 1629
• Main Authors: Xu, Rui Peng, Zhang, Cuo, Xu, Yan, Dong, Zhao Yang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 07.05.2019
• Subjects: capacitor banks; conservation voltage reduction; CVR; decision making; high PV‐penetrated distribution networks; IEEE 33‐bus systems; IEEE 69‐bus systems; invertors; load demand minimisation; multiobjective optimisation problem; multiobjective VVR problem; on load tap changers; optimisation; photovoltaic power systems; photovoltaic‐associated inverters; power distribution control; power loss minimisation; power system stability; Research Article; rolling‐horizon‐based multiobjective robust voltage/VAR regulation; Taguchi methods; Taguchi's orthogonal array testing; uncertain PV power generation; voltage collapse proximity indicator minimisation; voltage control; voltage stability; power distribution control; multiobjective optimisation problem; voltage collapse proximity indicator minimisation; IEEE 69-bus systems; optimisation; invertors; uncertain PV power generation; on-load tap changers; photovoltaic-associated inverters; IEEE 33-bus systems; power system stability; conservation voltage reduction; on load tap changers; rolling-horizon-based multiobjective robust voltage/VAR regulation; high PV-penetrated distribution networks; photovoltaic power systems; load demand minimisation; multiobjective VVR problem; power loss minimisation; decision-making; capacitor banks; decision making; Taguchi's orthogonal array testing; Taguchi methods; voltage stability; CVR; voltage control
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd.2018.5940

Voltage/VAR regulation (VVR) implemented by capacitor banks (CBs), on-load tap changers (OLTCs), and photovoltaic (PV)-associated inverters is effective to enhance voltage stability and reduce power loss. On the other hand, conservation voltage reduction (CVR) has been widely adopted in distribution networks to reduce load demand. Existing works mainly focus on each of them. This paper proposes a VVR method with CVR, forming a multi-objective optimisation problem which minimises (i) voltage collapse proximity indicator (VCPI), (ii) load demand, and (iii) power loss. Besides, PV power generation as uncertainty significantly impairs the VVR results. To deal with the uncertainty issue, this paper proposes a rolling-horizon framework to determine VVR and applies Taguchi's orthogonal array testing (TOAT) to model the uncertain PV power generation, achieving rolling-horizon-based multi-objective robust VVR. The proposed model is tested and demonstrated on the IEEE 33-bus and 69-bus systems, and simulation results verify that the proposed method can support robust solutions of the multi-objective VVR problem for decision-making.