IMBALANCE MULTI-OBJECTIVE OPTIMIZATION METHOD OF THREE-PHASE LAOD FOR DISTRIBUED PHOTOVOLTAIC POWER DISTRIBUTION NET WORK CONSIDERING RISK OF VOLTAGE OVERRUN

Shao Chenxu; Tang Yi

doi:10.19912/j.0254-0096.tynxb.2022-1216

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 53-64. DOI: 10.19912/j.0254-0096.tynxb.2022-1216

IMBALANCE MULTI-OBJECTIVE OPTIMIZATION METHOD OF THREE-PHASE LAOD FOR DISTRIBUED PHOTOVOLTAIC POWER DISTRIBUTION NET WORK CONSIDERING RISK OF VOLTAGE OVERRUN

Shao Chenxu¹, Tang Yi²

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Abstract

In order to solve the three-phase imbalance problem of medium and low voltage distribution network with distributed photovoltaics, a three-phase imbalance optimization method for distribution network considering the risk of voltage overrun is proposed. Taking the three-phase imbalance comprehensive index, voltage overrun risk index and optimization complexity index as the minimizing optimization goals, a three-phase imbalance multi-objective optimization model is constructed. A two-stage optimization algorithm of day-ahead and day-during is proposed, and the prior knowledge is obtained by solving the single-objective optimization problem converted by the original multi-objective problem, which improves the traditional NSGA-Ⅱ algorithm in the selection way of the initial population, then the multi-objective problem can be optimized by the improved NSGA-Ⅱ algorithm. Finally, through analyzing the simulation results, the optimization method proposed in this paper can significantly improve the three-phase imbalance problem of medium and low voltage distribution network, and at the same time effectively suppress the risk of voltage overrun of the system caused by distributed photovoltaics.

Key words

distribution network / photovoltaic power / voltage control / distribued photovoltaic power / three-phase imbalance / multi-objective optimization

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Shao Chenxu, Tang Yi. 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 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1216

References

[1] 刘科研, 盛万兴, 马晓晨, 等. 基于多种群遗传算法的分布式光伏接入配电网规划研究[J]. 太阳能学报, 2021, 42(6): 146-155.
LIU K Y, SHENG W X, MA X C, et al.Planning research of distributed photovoltaic source access distribution network based on multi-population genetic algorithm[J]. Acta energiae solaris sinica, 2021, 42(6): 146-155.
[2] ISLAM M Z, REZA M S, HOSSAIN M M, et al.Accurate estimation of phase angle for three-phase systems in presence of unbalances and distortions[J]. IEEE transactions on instrumentation and measurement, 2022, 71: 1-12.
[3] ALAM M J E, MUTTAQI K M, SUTANTO D. Mitigation of rooftop solar PV impacts and evening peak support by managing available capacity of distributed energy storage systems[J]. IEEE transactions on power systems, 2013, 28(4): 3874-3884.
[4] 蔡永翔, 唐巍, 徐鸥洋, 等. 含高比例户用光伏的低压配电网电压控制研究综述[J]. 电网技术, 2018, 42(1): 220-229.
CAI Y X, TANG W, XU O Y, et al.Review of voltage control research in LV distribution network with high proportion of residential PVs[J]. Power system technology, 2018, 42(1): 220-229.
[5] ZHANG D D, AN R C, WU T.Effect of voltage unbalance and distortion on the loss characteristics of three-phase cage induction motor[J]. IET electric power applications, 2017, 12: 264-270.
[6] BAI H, TANG X Y, YUAN Z, et al.A novel three-phase unbalanced power flow solution for islanded microgrids with distributed generations under droop controls[J]. Energy reports, 2022, 8(4):1438-1447
[7] ZHAI H F, YANG M, CHEN B, et al.Dynamic reconfiguration of three-phase unbalanced distribution networks[J]. International journal of electrical power & energy systems, 2018, 99: 1-10.
[8] ZHOU A P, ZHAI H F, YANG M, et al.Three-phase unbalanced distribution network dynamic reconfiguration: a distributionally robust approach[J]. IEEE transactions on smart grid, 2022, 13(3): 2063-2074.
[9] 方恒福, 盛万兴, 王金丽, 等. 配电台区三相负荷不平衡实时在线治理方法研究[J]. 中国电机工程学报, 2015, 35(9): 2185-2193.
FANG H F, SHENG W X, WANG J L, et al.Research on the method for real-time online control of three-phase unbalanced load in distribution area[J]. Proceedings of the CSEE, 2015, 35(9): 2185-2193.
[10] 郭兆成, 车建涛, 郭启栋, 等. 基于低压配网功率和用电量信息的三相不平衡负荷调整[J]. 电力系统保护与控制, 2018, 46(21): 86-95.
GUO Z C, CHE J T, GUO Q D, et al.Adjustment of three-phase unbalanced load in distribution network based on its historical power data and power consumption[J]. Power system protection and control, 2018, 46(21): 86-95.
[11] 韩平平, 潘薇, 张楠, 等. 基于负荷预测和非支配排序遗传算法的人工相序优化方法[J]. 电力系统自动化, 2020, 44(20): 71-78.
HAN P P, PAN W, ZHANG N, et al.Optimization method for artificial phase sequence based on load forecasting and non-dominated sorting genetic algorithm[J]. Automation of electric power systems, 2020, 44(20): 71-78.
[12] 林少华, 吴杰康, 莫超, 等. 基于二阶锥规划的含分布式电源配电网动态无功分区与优化方法[J]. 电网技术, 2018, 42(1): 238-246.
LIN S H, WU J K, MO C, et al.Dynamic partition and optimization method for reactive power of distribution networks with distributed generation based on second-order cone programming[J]. Power system technology, 2018, 42(1): 238-246.
[13] 周鑫, 诸弘安, 马爱军. 基于多种群蚁群算法的多目标动态无功优化[J]. 电网技术, 2012, 36(7): 231-236.
ZHOU X, ZHU H A, MA A J.Multi-objective dynamic reactive power optimization based on multi-population ant colony algorithm[J]. Power system technology, 2012, 36(7): 231-236.
[14] 边霞, 米良. 遗传算法理论及其应用研究进展[J]. 计算机应用研究, 2010, 27(7): 2425-2429, 2434.
BIAN X, MI L.Development on genetic algorithm theory and its applications[J]. Application research of computers, 2010, 27(7): 2425-2429, 2434.
[15] DAHAL S, SALEHFAR H.Impact of distributed generators in the power loss and voltage profile of three phase unbalanced distribution network[J]. International journal of electrical power & energy systems, 2016, 77: 256-262.
[16] GB/T 12325—2008, 电能质量供电电压偏差[S].
GB/T 12325—2008, Power quality-deviation of supply voltage[S].
[17] GB/T 29319—2012, 光伏发电系统接入配电网技术规定[S].
GB/T 29319—2012, Technical requirements for connecting photovoltaic power system to distribution network[S].
[18] 刘明明, 崔春风, 童小娇, 等. 混合整数非线性规划的算法软件及最新进展[J]. 中国科学: 数学, 2016, 46(1): 1-20.
LIU M M, CUI C F, TONG X J, et al.Algorithms, softwares and recent developments of mixed integer nonlinear programming[J]. Scientia sinica (mathematica), 2016, 46(1): 1-20.
[19] DEB K, PRATAP A, AGARWAL S, et al.A fast and elitist multiobjective genetic algorithm: NSGA-Ⅱ[J]. IEEE transactions on evolutionary computation, 2002, 6(2): 182-197.
[20] YUSUF A, BAYHAN N, TIRYAKI H, et al.Multi-objective optimization of concentrated photovoltaic-thermoelectric hybrid system via non-dominated sorting genetic algorithm (NSGA Ⅱ)[J]. Energy conversion and management, 2021, 236: 114065.
[21] DUGAN R C, MCDERMOTT T E.An open source platform for collaborating on smart grid research[C]//2011 IEEE Power and Energy Society General Meeting. Detroit, MI, USA, 2011: 1-7.