Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169660
Title: Multi-timescale affinely adjustable robust reactive power dispatch of distribution networks integrated with high penetration of PV
Authors: Li, Peishuai
Wu, Zaijun
Zhang, Cuo
Xu, Yan
Dong, Zhaoyang
Hu, Minqiang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: Li, P., Wu, Z., Zhang, C., Xu, Y., Dong, Z. & Hu, M. (2023). Multi-timescale affinely adjustable robust reactive power dispatch of distribution networks integrated with high penetration of PV. Journal of Modern Power Systems and Clean Energy, 11(1), 324-334. https://dx.doi.org/10.35833/MPCE.2020.000624
Journal: Journal of Modern Power Systems and Clean Energy 
Abstract: Photovoltaic (PV) power generation has highly penetrated in distribution networks, providing clean and sustainable energy. However, its uncertain and intermittent power outputs significantly impair network operation, leading to unexpected power loss and voltage fluctuation. To address the uncertainties, this paper proposes a multi-timescale affinely adjustable robust reactive power dispatch (MTAAR-RPD) method to reduce the network power losses as well as alleviate voltage deviations and fluctuations. The MTAAR-RPD aims to coordinate on-load tap changers (OLTCs), capacitor banks (CBs), and PV inverters through a three-stage structure which covers multiple timescales of 'hour-minute-second'. The first stage schedules CBs and OLTCs hourly while the second stage dispatches the base reactive power outputs of PV inverter every 15 min. The third stage affinely adjusts the inverter reactive power output based on an optimized Q-P droop controller in real time. The three stages are coordinately optimized by an affinely adjustable robust optimization method. A solution algorithm based on a cutting plane algorithm is developed to solve the optimization problem effectively. The proposed method is verified through theoretical analysis and numerical simulations.
URI: https://hdl.handle.net/10356/169660
ISSN: 2196-5625
DOI: 10.35833/MPCE.2020.000624
Schools: School of Electrical and Electronic Engineering 
Rights: © 2023 The Author(s). Published by IEEE. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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