含高比例分布式光伏的主配网运行风险评估与防控策略研究

梁志峰; 康重庆; 隋凌峰; 于若英; 贾亦雄; 杜云龙; 陈文进

doi:10.16511/j.cnki.qhdxxb.2024.27.011

清华大学学报（自然科学版） >

2024 , Vol. 64 >Issue 11: 1964 - 1978

DOI: https://doi.org/10.16511/j.cnki.qhdxxb.2024.27.011

电子工程

含高比例分布式光伏的主配网运行风险评估与防控策略研究

梁志峰 ,
康重庆 ,
隋凌峰 ,
于若英 ,
贾亦雄 ,
杜云龙 ,
陈文进

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1. 清华大学电机工程与应用电子技术系, 北京 100084;
2. 国家电网有限公司国家电力调度控制中心, 北京 100031;
3. 东北电力大学, 吉林 132012;
4. 中国电力科学研究院有限公司南京分院, 南京 210003;
5. 清华四川能源互联网研究院, 成都 610213;
6. 国网江苏省电力有限公司, 南京 210000;
7. 国网浙江省电力有限公司, 杭州 310007

收稿日期: 2023-11-09

网络出版日期: 2024-11-05

基金资助

国家电网有限公司总部管理科技研究项目(4000-202218060A-1-1-ZN)

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Research on risk warning and prevention strategies for main distribution networks with high proportion distributed photovoltaics

LIANG Zhifeng ,
KANG Chongqing ,
SUI Lingfeng ,
YU Ruoying ,
JIA Yixiong ,
DU Yunlong ,
CHEN Wenjin

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1. Department of Electrical Engineering and Applied Electronics, Tsinghua University, Beijing 100084, China;
2. National Power Dispatch and Control Centre, State Grid Corporation of China, Beijing 100031, China;
3. Northeast Electric Power University, Jilin 132012, China;
4. Nanjing Branch of China Electric Power Research Institute Company, Nanjing 210003, China;
5. Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610213, China;
6. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China;
7. State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310007, China

Received date: 2023-11-09

Online published: 2024-11-05

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摘要

大规模分布式光伏的接入给主配网运行带来较大风险, 为了确保系统的安全性和可靠性、优化主配网资源, 该文研究了大规模分布式光伏接入的主配网运行风险评估方法和防控策略。首先, 在主配网的安全、平衡和消纳方面, 提出了主配网风险评估指标体系; 其次, 针对主配网是否处于紧急场景, 分别提出了主配网风险辅助决策和分层分区紧急切负荷策略; 最后, 研发了基于调控云的高比例分布式光伏并网风险智能分析与防控决策系统, 并在地区电网开展了示范应用。算例分析和示范应用效果均证明了所提的方法和策略能够对电网可能发生的安全、平衡和消纳等方面的风险进行在线评估和防控, 有效提升了分布式新能源并网运行的风险防控能力, 为电网运营商和决策者提供了有价值的参考, 进一步推动清洁能源的可持续发展。

关键词： 风险评估; 防控策略; 高比例光伏; 主配网; 切负荷

本文引用格式

梁志峰 , 康重庆 , 隋凌峰 , 于若英 , 贾亦雄 , 杜云龙 , 陈文进 . 含高比例分布式光伏的主配网运行风险评估与防控策略研究[J]. 清华大学学报（自然科学版）, 2024 , 64(11) : 1964 -1978 . DOI: 10.16511/j.cnki.qhdxxb.2024.27.011

Abstract

[Objective] Compared with centralized photovoltaics, distributed photovoltaics have smaller individual capacities and dispersed access points, which are mainly connected through the low-voltage power grid towards the end. They have the characteristics of superimposed new energy fluctuations, intermittency, uncertainty. With the increase in the scale of distributed photovoltaic access, there will be a greater risk to the operation of the main distribution network. To ensure the safety and reliability of the system and optimize the resources of the main distribution network, we investigate the risk assessment methods and prevention strategies for the operation of the main distribution network of large-scale distributed photovoltaic access. [Methods] In terms of safety, balance and consumption of the main distribution grid, the problem of extracting risk characteristics and constructing a risk assessment index system for operating the main distribution grid after the high proportion of distributed new energy connected to the grid was evaluated. We proposed a risk feature extraction model based on a random forest and identified important power grid nodes. A large-scale survey based on actual production was conducted on a power grid in Jiangsu region of China, and a risk assessment index system for the coordinated operation of the main distribution network was proposed. To address the operational risks of the main distribution network caused by the high proportion of distributed new energy integration, research is being conducted on the risk prevention and control methods for the main distribution network. We proposed an auxiliary decision-making method for adjusting the main distribution network mode plan in non-emergency situations and established a two-stage risk scheduling model. Considering an emergency scenario where the risk level of the main distribution grid is high after the high proportion of distributed new energy is connected to the grid, a layered and partitioned emergency load-shedding strategy was studied for the main distribution grid. Consequently, a distributed new energy and load-coordinated precise control strategy for the emergency control scenario of the main distribution grid was proposed. We developed a large-scale distributed new energy grid connection risk intelligence analysis and prevention decision-making system based on the regulatory cloud and demonstrated its application in regional power grids. [Results] The proposed indicator system has been verified in a power grid in a certain region of China; this system can comprehensively measure the risks faced during operation and accurately determine the risk level, verifying the effectiveness of the indicator system. The proposed risk prevention and control scheduling for a high proportion of distributed new energy grid connections in the main distribution grid, as well as the layered and partitioned emergency load-shedding strategy, can effectively enhance the risk prevention and control capabilities of distributed new energy grid connection operation. In the decision-making system, the safety, balance and consumption risk assessment module of the main distribution network intelligently analyzes the operation status of conventional power sources, centralized new energy and distributed new energy in the main distribution network, achieving real-time calculation and diagnosis of possible power grid balance and distributed new energy consumption risks in the future. [Conclusions] Through case analysis and demonstration application, we constructed a risk assessment index system for the main and distribution networks by identifying weak links in the power grid. The evaluation indicators at the main grid level mainly reflect the risks caused by distributed photovoltaics to power supply, grid safety and new energy consumption. Meanwhile, the evaluation indicators at the distribution grid level mainly reflect the impact of distributed photovoltaics on node voltage and equipment safety. Moreover, it can reasonably quantify and effectively characterize the operational risks of the grid caused by large-scale distributed photovoltaic grid connections. Additionally, the constructed plan adjustment and scheduling model for the main distribution grid considering multiple types of risks in a high proportion of distributed new energy operations can effectively reduce the comprehensive operational risk value of the main distribution grid and further improve operational reliability.

Key words： risk warning; prevention and control strategy; high proportion photovoltaic; main distribution network; load shedding

参考文献

[1] 张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望 [J]. 中国电机工程学报, 2022, 42(8): 2806-2818. ZHANG Z G, KANG C Q. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future [J]. Proceedings of the CSEE, 2022, 42(8): 2806-2818. (in Chinese)
[2] 黎静华, 左俊军, 汪赛. 大规模风电并网电力系统运行风险评估与分析 [J]. 电网技术, 2016, 40(11): 3503-3510. LI J H, ZUO J J, WANG S. Analysis and assessment of operation risk for power system with large-scale wind power integration [J]. Power System Technology, 2016, 40(11): 3503-3510. (in Chinese)
[3] 蒋程, 刘文霞, 张建华, 等. 含风电接入的发输电系统风险评估 [J]. 电工技术学报, 2014, 29(2): 260-270.JIANG C, LIU W X, ZHANG J H. Risk assessment of generation and transmission systems considering wind power penetration [J]. Transactions of China Electrotechnical Society, 2014, 29(2): 260-270. (in Chinese)
[4] 马光, 张伊宁, 陈哲, 等. 含大规模风电的交直流混联系统风险评估方法 [J]. 电网技术, 2019, 43(9): 3241-3251. MA G, ZHANG Y N, CHEN Z, et al. Risk assessment method for hybrid AC/DC system with large-scale wind power integration [J]. Power System Technology, 2019, 43(9): 3241-3251. (in Chinese)
[5] 谢桦, 陈昊, 邓晓洋, 等. 基于改进K-means聚类技术与半不变量法的电—气综合能源系统运行风险评估方法 [J]. 中国电机工程学报, 2020, 40(1): 59-69. XIE H, CHEN H, DENG X Y, et al. Electric-gas integrated energy system operational risk assessment based on improved k-means clustering technology and semi-invariant method [J]. Proceedings of the CSEE, 2020, 40(1): 59-69. (in Chinese)
[6] 乐健, 朱江峰, 孙旻, 等. 大规模分布式光伏接入的配网风险评估及应对措施研究 [J]. 电测与仪表, 2019, 56(14): 28-33. DOI: 10.19753/j.issn1001-1390.2019.014.006. LE J, ZHU J F, SUN M, et al. Research on the risk assessment and countermeasures of distribution network with large scale distributed PV accessing [J]. Electrical Measurement & Instrumentation, 2019, 56(14): 28-33. DOI: 10.19753/j.issn1001-1390.2019.014.006. (in Chinese)
[7] 商皓钰, 刘天琪, 卜涛, 等. 计及风电与光伏并网的电力系统运行风险评估 [J]. 现代电力, 2020, 37(4): 358-367. SHANG H Y, LIU T Q, BU T, et al. Operational risk assessment of power system considering wind power and photovoltaic grid connection [J]. Modern Electric Power, 2020, 37(4): 358-367. (in Chinese)
[8] 李谦. 计及极端天气与风电接入的系统运行风险评估 [D]. 济南: 山东大学, 2015. LI Q. Risk assessment of power system with extreme weather and wind power integration [D]. Jinan: Shandong University, 2015. (in Chinese)
[9] 马燕峰, 骆泽榕, 赵书强, 等. 基于改进蒙特卡洛混合抽样的含风光电力系统风险评估 [J]. 电力系统保护与控制, 2022, 50(9): 75-83. DOI: 10.19783/j.cnki.pspc.211076.MA Y F, LUO Z R, ZHAO S Q, et al. Risk assessment of a power system containing wind power and photovoltaic based on improved Monte Carlo mixed sampling [J]. Power System Protection and Control, 2022, 50(9): 75-83. DOI: 10.19783/j.cnki.pspc.211076. (in Chinese)
[10] 杨振铨, 项基, 李艳君. 配合主网调度的配电网分布式电源主动控制策略 [J]. 中国电机工程学报, 2019, 39(11): 3176-3185. YANG Z Q, XIANG J, LI Y J. Active control strategy of distributed generations for utility grid cooperation in distribution network [J]. Proceedings of the CSEE, 2019, 39(11): 3176-3185. (in Chinese)
[11] 汤奕, 孙大松, 周毅, 等. 含分布式电源的主配一体化电网日前—实时协调风险调度方法研究 [J]. 智慧电力, 2020, 48(8): 8-14, 23. TANG Y, SUN D S, ZHOU Y, et al. Coordinated day-ahead and real-time risk dispatch method for main distribution integrated network containing distributed generation [J]. Smart Power, 2020, 48(8): 8-14, 23. (in Chinese)
[12] CHEN Z, LI Z S, GUO C X, et al. Fully distributed robust reserve scheduling for coupled transmission and distribution systems [J]. IEEE Transactions on Power Systems, 2021, 36(1): 169-182.
[13] 吉兴全, 张旋, 于一潇, 等. 考虑综合能源系统运行灵活性的输配协同优化调度 [J]. 电力系统自动化, 2022, 46(23): 29-40. JI X Q, ZHANG X, YU Y X, et al. Coordinated optimal dispatch of transmission and distribution power systems considering operation flexibility of integrated energy system [J]. Automation of Electric Power Systems, 2022, 46(23): 29-40. (in Chinese)
[14] 张宇超, 吴文传, 李正烁, 等. 考虑分布式电源影响的分层分区精细化切负荷方法 [J]. 电网技术, 2019, 43(3): 998-1005. ZHANG Y C, WU W C, LI Z S, et al. Hierarchical load shedding method considering influence of distributed generators [J]. Power System Technology, 2019, 43(3): 998-1005. (in Chinese)
[15] 刘晓明, 刘玉田, 邱夕兆. ±660kV银东直流闭锁后的紧急切负荷决策 [J]. 电力自动化设备, 2012, 32(4): 96-99, 116. LIU X M, LIU Y T, QIU X Z. Emergency load shedding after Yindong 660 kV DC block fault [J]. Electric Power Automation Equipment, 2012, 32(4): 96-99, 116. (in Chinese)
[16] 苏小林, 吴富杰, 阎晓霞, 等. 主动配电网的分层调控体系及区域自治策略 [J]. 电力系统自动化, 2017, 41(6): 129-134, 141. SU X L, WU F J, YAN X X, et al. Hierarchical coordinated control system of active distribution network and its regional autonomy strategy [J]. Automation of Electric Power Systems, 2017, 41(6): 129-134, 141. (in Chinese)
[25] FAHRIOGLU M, ALVARADO F L. Designing incentive compatible contracts for effective demand management [J]. IEEE Transactions on Power Systems, 2000, 15(4): 1255-1260.
[17] CHUNG T S, ZHANG S H, YU C W, et al. Electricity market risk management using forward contracts with bilateral options [J]. IEEE Proceedings-Generation, Transmission and Distribution, 2003, 150(5): 588-594.
[18] DOUDNA J H. Overview of California ISO summer 2000 demand response programs[C]//Proceedings of 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings. Columbus, USA: IEEE, 2001: 228-233.
[19] 南思博, 李庚银, 周明, 等. 智能小区可削减柔性负荷实时需求响应策略 [J]. 电力系统保护与控制, 2019, 47(10): 42-50. NAN S B, LI G Y, ZHOU M, et al. Real-time demand response of curtailable flexible load in smart residential community [J]. Power System Protection and Control, 2019, 47(10): 42-50. (in Chinese)
[20] 孙毅, 李泽坤, 黄绍模, 等. 基于分布式需求侧资源备调池的低频减载优化策略研究 [J]. 电网技术, 2020, 44(3): 1016-1025. SUN Y, LI Z K, HUANG S M, et al. An improved UFLS strategy based on distributed demand side resource pools [J]. Power System Technology, 2020, 44(3): 1016-1025. (in Chinese)
[21] 孙毅, 李泽坤, 刘迪, 等. 可控负荷参与低频减载的动态集群优化控制策略 [J]. 中国电机工程学报, 2018, 38(7): 1913-1921. SUN Y, LI Z K, LIU D, et al. An optimization control strategy for intelligent UFLS using dynamically aggregated controllable loads [J]. Proceedings of the CSEE, 2018, 38(7): 1913-1921. (in Chinese)
[22] 熊小伏, 周永忠, 周家启, 等. 计及负荷频率特性的低频减载方案研究 [J]. 中国电机工程学报, 2005, 25(19): 48-51. XIONG X F, ZHOU Y Z, ZHOU J Q, et al. Study of underfrequency load shedding scheme based on load frequency characteristics [J]. Proceedings of the CSEE, 2005, 25(19): 48-51. (in Chinese)
[23] 王彤, 刘九良, 朱劭璇, 等. 基于随机森林的电力系统暂态稳定评估与紧急控制策略 [J]. 电网技术, 2020, 44(12): 4694-4701. WANG T, LIU J L, ZHU S X, et al. Transient stability assessment and emergency control strategy based on random forest in power system [J]. Power System Technology, 2020, 44(12): 4694-4701. (in Chinese)
[24] JIA Y X, LIANG Z F, HUO X S, et al. The impact of load-PV profile resolution on distribution system risk assessment [J]. Energy Reports, 2023, 9: 2653-2664.
[25] 李冠争, 李斌, 王帅, 等. 基于特征选择和随机森林的电力系统受扰后动态频率预测 [J]. 电网技术, 2021, 45(7): 2492-2502. LI G Z, LI B, WANG S, et al. Dynamic frequency prediction of power system post-disturbance based on feature selection and random forest [J]. Power System Technology, 2021, 45(7): 2492-2502. (in Chinese)
[26] 王鹤, 余中枢, 李筱婧, 等. 基于主成分分析方法的多类型电动汽车接入配电网的综合风险评估 [J]. 电力自动化设备, 2021, 41(11): 57-65. WANG H, YU Z S, LI X J, et al. Comprehensive risk assessment of multiple types of electric vehicles connected to distribution network based on principal component analysis method [J]. Electric Power Automation Equipment, 2021, 41(11): 57-65. (in Chinese)
[26] 秦明亮, 杨秀朝. 减少低频减载方案过切的措施研究[J]. 电网技术, 2002, 26(3): 83-86. QIN M L, YANG X C. Measures to reduce overshedding caused by under-frequency load shedding project[J]. Power System Technology, 2002, 26(3): 83-86.

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