RESEARCH ON VOLTAGE REGULATION STRATEGY FOR DISTRIBUTED PHOTOVOLTAIC DISTRIBUTION NETWORK BASED ON DRMPC

Yang Jianfeng; Jia Chenyang; Fu Yiping

doi:10.19912/j.0254-0096.tynxb.2024-0401

PDF(1952 KB)

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 645-652. DOI: 10.19912/j.0254-0096.tynxb.2024-0401

Special Topics of Academic Papers at the 96th Annual Meeting of the China Association for Science and Technology

RESEARCH ON VOLTAGE REGULATION STRATEGY FOR DISTRIBUTED PHOTOVOLTAIC DISTRIBUTION NETWORK BASED ON DRMPC

Yang Jianfeng, Jia Chenyang, Fu Yiping

Author information +

History +

Abstract

In distribution networks with high penetration of distributed photovoltaic sources, significant bus voltage fluctuations and even voltage overruns can result from direct alterations in the network’s physical structure. A voltage regulation control strategy for distribution network based on distributed reconfigurable model predictive control is proposed to solve this problem. The power stations incorporate the states of their neighbors into their own optimization problems by exchanging their reference trajectories with each other. Moreover, three distinct reconfiguration strategies are devised to adapt to changes in physical network topology stemming from maintenance or adverse weather conditions, ensuring stable node voltages. Concurrently, switching conditions are formulated to determine the feasibility of power station reconfiguration. Should reconfiguration not be viable, the corresponding control strategy is computed, reference trajectories are updated, and topology adjustments can be made only if the conditions are met. Finally, simulations are conducted using Matlab/Matpower to verify the effectiveness of the proposed model and algorithms in reducing voltage fluctuations and enhancing power quality during distribution network reconfiguration.

Key words

distributed photovoltaic / distribution network / high penetration / voltage regulation / distributed reconfigurable model predictive control

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Yang Jianfeng, Jia Chenyang, Fu Yiping. RESEARCH ON VOLTAGE REGULATION STRATEGY FOR DISTRIBUTED PHOTOVOLTAIC DISTRIBUTION NETWORK BASED ON DRMPC[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 645-652 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0401

References

[1] 孙晓, 李妍. 新能源并网及储能技术研究综述[J]. 通信电源技术, 2020, 37(2): 12-14.
SUN X, LI Y.Review of new energy grid connection and energy storage technology[J]. Telecom power technology, 2020, 37(2): 12-14.
[2] XU X F, WEI Z F, JI Q, et al.Global renewable energy development: influencing factors, trend predictions and countermeasures[J]. Resources policy, 2019, 63: 101470.
[3] 韦明杰, 王聪博, 余越, 等. 适用高比例分布式光伏接入的配电网多级保护优化配置方案[J]. 电力系统自动化, 2023, 47(22): 55-65.
WEI M J, WANG C B, YU Y, et al.Optimal configuration scheme of multi-staged protection in distribution network for integration of high proportion of distributed photovoltaic[J]. Automation of electric power systems, 2023, 47(22): 55-65.
[4] 余昆, 唐修明, 陈星莺, 等. 高比例分布式光伏接入的配电网过电压责任分摊方法[J]. 中国电机工程学报, 2023, 43(24): 9535-9546.
YU K, TANG X M, CHEN X Y, et al.Allocation method of overvoltage responsibility in distribution network with high proportion distributed photovoltaic[J]. Proceedings of the CSEE, 2023, 43(24): 9535-9546.
[5] 曹敬, 金玉龙, 郑涛, 等. 计及分布式电源集群不确定性的配电网分散鲁棒电压控制[J]. 电力系统保护与控制, 2023, 51(22): 155-166.
CAO J, JIN Y L, ZHENG T, et al.A decentralized robust voltage control method for distribution networks considering the uncertainty of distributed generation clusters[J]. Power system protection and control, 2023, 51(22): 155-166.
[6] 张怡, 刘洋, 穆勇. 风光互补发电系统的分布式模型预测控制[J]. 控制工程, 2021, 28(3): 501-509.
ZHANG Y, LIU Y, MU Y.Distributed model predictive control of wind-solar hybrid power generation system[J]. Control engineering of China, 2021, 28(3): 501-509.
[7] 王辛. 分布式光伏发电系统的接入电网技术分析[J]. 集成电路应用, 2023, 40(8): 348-349.
WANG X.Analysis of grid access technology for distributed photovoltaic power generation systems[J]. Application of IC, 2023, 40(8): 348-349.
[8] 郑小宇, 季宇, 张颖, 等. 基于模型预测控制的分布式光伏集群协调优化控制[J]. 电网与清洁能源, 2019, 35(7): 66-74.
ZHENG X Y, JI Y, ZHANG Y, et al.Coordinated optimal control of distributed photovoltaic cluster based on model predictive control[J]. Power system and clean energy, 2019, 35(7): 66-74.
[9] 侯蓓. 网络化分布式系统的可重构预测控制[D]. 上海: 上海交通大学, 2020.
HOU B.Reconfigurable model predictive control for networked distributed system[D]. Shanghai: Shanghai Jiao Tong University, 2020.
[10] ABOUDONIA A, EICHLER A, CORDIANO F, et al.Distributed model predictive control with reconfigurable terminal ingredients for reference tracking[J]. IEEE transactions on automatic control, 2022, 67(11): 6263-6270.
[11] MASERO E, BALDIVIESO-MONASTERIOS P R, MAESTRE J M, et al. Robust coalitional model predictive control with plug-and-play capabilities[J]. Automatica, 2023, 153: 111053.
[12] YANG F, YU S B, ZHAO J, et al.Distributed reconfigurable model predictive control based load frequency control of microgrid clusters with dynamic topology[J]. Electric power systems research, 2023, 221: 109445.
[13] GUO Y F, WU Q W, GAO H L, et al.Distributed voltage regulation of smart distribution networks: consensus-based information synchronization and distributed model predictive control scheme[J]. International journal of electrical power and energy systems, 2019, 11158-65.
[14] 唐成虹, 董存, 戴睿鹏, 等. 基于模型预测控制的光伏场站快速协同无功电压控制[J]. 电力系统保护与控制, 2023, 51(17): 80-90.
TANG C H, DONG C, DAI R P, et al.Fast cooperative reactive voltage control for photovoltaic stations based on model predictive control[J]. Power system protection and control, 2023, 51(17): 80-90.
[15] 刘自发, 张婷, 王岩. 基于模型预测控制的主动配电网多场景变时间尺度优化调度[J]. 电力自动化设备, 2022, 42(4): 121-128.
LIU Z F, ZHANG T, WANG Y.Multi-scenario variable time scale optimal scheduling of active distribution network based on model predictive control[J]. Electric power automation equipment, 2022, 42(4): 121-128.
[16] 肖浩, 裴玮, 邓卫, 等. 分布式电源对配电网电压的影响分析及其优化控制策略[J]. 电工技术学报, 2016, 31(S1): 203-213.
XIAO H, PEI W, DENG W, et al.Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J]. Transactions of China Electrotechnical Society, 2016, 31(S1): 203-213.
[17] 杨明圣. 基于功率预测的分布式光伏并网电压控制策略研究[D]. 长沙: 长沙理工大学, 2019.
YANG M S.Research on distributed photovoltaic grid-connected voltage control strategy based on power prediction[D]. Changsha: Changsha University of Science & Technology, 2019.
[18] 张嘉澍, 吕泉, 郭雪丽, 等. 考虑合理弃光的配电网光伏最大接入容量研究[J]. 太阳能学报, 2023, 44(2): 418-426.
ZHANG J S, LYU Q, GUO X L, et al.Research on maximum PV access capacity in distribution network considering proper power curtailment[J]. Acta energiae solaris sinica, 2023, 44(2): 418-426.
[19] 邵晨旭, 汤奕. 计及电压越限风险的含分布式光伏配电网三相载荷不平衡多目标优化方法[J]. 太阳能学报, 2023, 44(12): 53-64.
SHAO C X, TANG Y.Imbalance multi-objective optimization method of three-phase laod for distribued photovoltaic power distribution net work considering risk of voltage overrun[J]. Acta energiae solaris sinica, 2023, 44(12): 53-64.
[20] HOU B, LI S Y, ZHENG Y.Distributed model predictive control for reconfigurable systems with network connection[J]. IEEE transactions on automation science and engineering, 2022, 19(2): 907-918.
[21] 庾雅琪, 齐郑, 陈艳波. 考虑分布式光伏发电的单相接地故障下配电网的重构方法研究[J]. 太阳能, 2024(6): 78-86.
YU Y Q, QI Z, CHEN Y B.Research on reconstruction method of distribution network under single-phase grounding fault considering distributed PV power generation[J]. Solar energy, 2024(6): 78-86.