Analysis on Transmission Congestion Mechanism of Cross-Region Renewable Energy Integration in Receiving-End Power Grid

doi:10.3969/j.issn.1000-7229.2020.02.003

Abstract

Abstract: With large amount of outside power injection and renewable energy grid-connection， the regional transmission congestion problem caused by unbalanced distribution of power supply and load begins to appear in the receiving-end grid. Because of the difference of power sources and loads peculiarity， peak regulation demand between sending-end grid and receiving-end grid， the interregional peak adjustment will cause the transmission section obstruction with insufficient margin. In view of an eastern developed province receiving-end grids transmission congestion problem， this paper analyzes the effects of high proportion of outside power and local renewable energy on peak load regulation. Then a congestion mechanism analysis model is established. In the example， two different congestion scenarios are simulated under the two reserve power supply modes of total reserve and average reserve， and a continuous time-sequence simulation of the provinces planning state in 2025 is carried out with GOPT simulation software to further demonstrate the blocking phenomenon. Through the mechanism analysis of this paper， some suggestions are put forward to alleviate the regional transmission congestion， such as differentiated allocation of peak load regulation power and differentiated allocation of reserve.

Key words: receiving-end grid, outside power, renewable energy, consumption, transmission congestion, reserve

CLC Number:

TM 72

GUO Li，WU Chen，CHEN Li，CONG Xiaohan，MIAO Xiyun，WANG Beibei. Analysis on Transmission Congestion Mechanism of Cross-Region Renewable Energy Integration in Receiving-End Power Grid[J]. Electric Power Construction, 2020, 41(2): 21-29.

References

［1］杨欢欢，蔡泽祥，朱林，等. 直流系统无功动态特性及其对受端电网暂态电压稳定的影响［J］. 电力自动化设备， 2017， 37(10): 86-92.
YANG Huanhuan， CAI Zexiang， ZHU Lin， et al. Dynamic characteristic of HVDC reactive power and its influence on transient voltage stability of receiving-end power grid ［J］. Electric Power Automation Equipment， 2017， 37(10): 86-92.
［2］李虎成，袁宇波，卞正达，等. 面向特高压交直流大受端电网的频率紧急控制特性分析［J］. 电力工程技术， 2017， 36(2): 27-31， 109.
LI Hucheng， YUAN Yubo， BIAN Zhengda， et al. The frequency emergency control characteristic analysis for UHV AC/DC large receiving end power grid ［J］. Electric Power Engineering Technology， 2017， 36(2): 27-31， 109.
［3］吴俊，薛禹胜，舒印彪，等. 大规模可再生能源接入下的电力系统充裕性优化 (三)多场景的备用优化［J］. 电力系统自动化， 2019， 43(11): 1-9， 76.
WU Jun， XUE Yusheng， SHU Yinbiao， et al. Adequacy optimization for a large-scale renewable energy integrated power system part three reserve optimization in multiple scenarios［J］. Automation of Electric Power Systems， 2019， 43(11): 1-9， 76.
［4］吴俊，薛禹胜，舒印彪，等. 大规模可再生能源接入下的电力系统充裕性优化(二)多等级备用的协调优化［J］. 电力系统自动化， 2019， 43(10): 19-28.
WU Jun， XUE Yusheng， SHU Yinbiao， et al. Adequacy optimization for a large-scale renewable energy integrated power system part two collaborative optimization of multi-grade reserve［J］. Automation of Electric Power Systems， 2019， 43(10): 19-28.
［5］崔杨，赵玉，邱丽君，等. 改善受端电网调峰裕度的特高压直流外送风火协调调度［J］. 电力系统自动化， 2018， 42(15): 126-132.
CUI Yang， ZHAO Yu， QIU Lijun， et al. Coordinated scheduling method of wind-thermal power transmitted by UHVDC system for improving peak-shaving margin of receiving-end power grid［J］. Automation of Electric Power Systems， 2018， 42(15): 126-132.
［6］张谦，奚巍民，黄俊辉，等. 考虑系统运行方式的江苏电网过江断面概率潮流实证分析［J］. 电力系统保护与控制， 2013， 41(1): 47-52.
ZHANG Qian， XI Weimin， HUANG Junhui， et al. Probabilistic load flow evaluation considering system operation mode for transmission lines across the Yangzi river of Jiangsu power grid ［J］. Power System Protection and Control， 2013， 41(1): 47-52.
［7］王乾坤. 国内外风电弃风现状及经验分析［J］. 华东电力， 2012， 40(3): 378-381.
WANG Qiankun. Update and empirical analysis of domestic and foreign wind energy curtailment ［J］. East China Electric Power， 2012， 40(3): 378-381.
［8］方俊钧，邵尤国，赵洁，等. 风速相关性对电网输电阻塞的影响分析与研究［J］. 智慧电力， 2018， 46(8): 13-18， 93.
FANG Junjun， SHAO Youguo， ZHAO Jie， et al. Influence analysis of power grid transmission congestion induced by wind speed correlation［J］. Smart Power， 2018， 46(8): 13-18， 93.
［9］ HALAMAY D A， BREKKEN T K A. Monte Carlo analysis of the impacts of high renewable powerpenetration［C］//2011 IEEE Energy Conversion Congress and Exposition. New York， USA: IEEE， 2011.
［10］ KLOUBERT M， SCHWIPPE J， MULLER S C， et al.Analyzing the impact of forecasting errors on redispatch and control reserve activation in congested transmission networks［C］//2015 IEEE Eindhoven PowerTech. New York， USA: IEEE， 2015.
［11］蔡晖，孟繁骏，葛毅，等. 特高压交直流混联背景下的江苏电网区外来电消纳能力分析［J］. 电力建设， 2016， 37(2): 100-106.
CAI Hui， MENG Fanjun， GE Yi， et al. Accommodation capacity of Jiangsu power grid external electricity based on UHV AC/DC hybrid［J］. Electric Power Construction， 2016， 37(2): 100-106.
［12］冯大伟，程璐，王震泉. 超大规模光伏发电并网对电网关键潮流断面影响的研究［J］. 电工电气， 2017(7): 11-14， 19.
FENG Dawei， CHENG Lu， WANG Zhenquan. Study on influence of ultra-large-scale grid-connected photovoltaic power system on key tide cross section of power grid ［J］. Electrotechnics Electric， 2017(7): 11-14， 19.
［13］汪惟源，赵楠，张剑楠，等. 区外来电对高受电比例受端电网辅助服务的影响［J］. 中国电力， 2018， 51(11): 67-73.
WANG Weiyuan， ZHAO Nan， ZHANG Jiannan， et al. The impact of outside electricity on the ancillary service of power grid with high-penetration received electricity ［J］. Electric Power， 2018， 51(11): 67-73.
［14］卫鹏，刘建坤，周前，等. 基于随机潮流的新能源发电预测误差对电网影响研究［J］. 电器与能效管理技术， 2017(2): 60-65， 70.
WEI Peng， LIU Jiankun， ZHOU Qian， et al. Research on impact of prediction error of new energy on power grid based on probabilistic power flow algorithm ［J］. Electrical & Energy Management Technology， 2017(2): 60-65， 70.
［15］张谦，黄俊辉. “十二五”期间江苏电源规划与优化［J］. 江苏电机工程， 2007， 26(6): 3-7.
ZHANG Qian， HUANG Junhui. Programming and optimization of Jiangsu power supply in the period of “the twelfth five” ［J］. Jiangsu Electrical Engineering， 2007， 26(6): 3-7.

[1]	. Inertia-Distribution Estimation Method Based on Characteristics of Electromechanical Disturbance Propagation [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 25-31.
[2]	WANG Hanlin, LIU Yang, XU Lixiong, CHEN Xianbang, TAN Siwei. Research on Hierarchical Coordinated Optimization Model of Multi-microgrid System Considering Wind Power Consumption [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 87-98.
[3]	SHEN Baoxing1， LIN Lin1， DONG Qian2， TANG Cong3， JIANG Shouqi2， XIN Yechun2. Coordinated Control Strategy for AC Fault Ride-through of MMC-HVDC Island Power Supply System [J]. Electric Power Construction, 2020, 41(6): 93-99.
[4]	DONG Ling， NIAN Heng， FAN Yue， ZHAO Jianyong， ZHANG Zhi，LIN Zhenzhi. Exploration and Practice of Business Model of Shared Energy Storage in Energy Internet [J]. Electric Power Construction, 2020, 41(4): 38-44.
[5]	XU Zhiheng， ZHANG Yongjun， YU Zhaorong， WANG Gan. Two-Stage Stochastic Optimal Scheduling for Integrated Power and Natural-Gas System Considering Incentive Demand Response [J]. Electric Power Construction, 2020, 41(4): 81-89.
[6]	LI Xiangqi，YU Haifeng，LI Xinran，ZHANG De，JIANG Xing，ZHU Sirui，CHEN Changqing. Planning Method for Multi-Functional Application Demand Considering Dynamic Life Cycle Characteristics of Energy Storage [J]. Electric Power Construction, 2020, 41(1): 45-54.
[7]	ZHU Huan， CHENG Liang， CHEN Chen， ZHUO Zhenyu， CUI Bo， GONG Lijia， ZHANG Ning. Assessment Method for Grid-side Storage Demand under Multiple Application Scenarios [J]. Electric Power Construction, 2019, 40(9): 35-42.
[8]	WANG Rui， SUN Qiuye， ZHANG Xuemeng， MA Dazhong. Phase-Angle Stability Analysis of Microgrids in Electromagnetic Time Scale [J]. Electric Power Construction, 2019, 40(9): 99-106.
[9]	YANG Pengpeng，ZHANG Xiuping，WANG Mingqiang，YANG Ming，ANG Fei，WANG Shibo. Optimal Operation of Wind-PV-ES Joint System Considering the Peak Regulation Capability [J]. Electric Power Construction, 2019, 40(9): 124-130.
[10]	DU Lijia， JIN Xiaolong， HE Wei， MU Yunfei， JIA Hongjie， WEI Wei. A Tie-line Power Smoothing Control Method for an Office Building Microgrid by Scheduling Thermal Mass of the Building and Plug-in Electric Vehicles [J]. Electric Power Construction, 2019, 40(8): 26-33.
[11]	ZHU Jinju， ZHAO Qingsong，LIU Chenggang，WANG Yong，LI Qionghui，LONG Hongyu. Study on Optimization Technology of Peak-shaving Capacity Improvement and Wind Power Consumption Considering the Difference of Terminal “Heat Storage” [J]. Electric Power Construction, 2019, 40(8): 69-76.
[12]	ZHOU Siyu，LIU Chenggang， GE Yangyang，ZHAO Qingsong，LI Qionghui，WANG Caixia，LONG Hongyu. Research on Vehicle-Storage-Heat Joint Dispatching Strategy for Wind Power Consumption [J]. Electric Power Construction, 2019, 40(8): 77-83.
[13]	CHEN Qichao，LI Hui，WANG Shuai，SHI Rui，ZHANG Ning，QI Qingru，WANG Fei. Sequential Operation Simulation Technology for Renewable Energy Accommodation Considering Multi-Energy Complementarity [J]. Electric Power Construction, 2019, 40(7): 18-25.
[14]	ZHANG Qi，JIA Yanbing，SONG Tianhao，ZHANG Baifu，ZHENG Huiping，MAO Sijie. Study on the Unit Commitment in the Interconnected Power Grid with Wind Power According to Multi-Scenarios Risk Analysis [J]. Electric Power Construction, 2019, 40(5): 98-106.
[15]	HU Jiahua， WEN Fushuan， MA Li， PENG Shengjiang，FAN Menghua，XU Haoliang. Power System Operation Flexibility and Flexible Ramping Products [J]. Electric Power Construction, 2019, 40(4): 70-80.