基于时序运行模拟的电网运营效率评估方法

doi:10.3969/j.issn.1000-7229.2015.10.019

摘要/Abstract

摘要：

电网运营效率体现了电网运营的精益化水平，对于电网企业的经营效益具有重要影响。对面向未来电网规划方案的电网运营效率进行科学评估对电网建设具有重要的指导意义。该文从发电侧与输电侧2个角度出发，设计了电网运营效率评价指标集。基于电力系统时序运行模拟技术，提出了电网运营效率评价指标的计算方法，能够充分考虑电力系统运行的复杂边界条件以及多种运行场景，全面准确地反映电力系统的运营效率。采用江苏电网2018年的规划方案实际数据进行了实证分析，研究了晋北——南京特高压直流工程以及江苏千万kW级风电基地对电网运营效率的影响。结果表明，晋北直流的建设会在一定程度上增加系统网损和输电阻塞，对运营效率有一定负面影响，风电间歇性也会增加与风电距离较近的线路阻塞进而降低电网运营效率。

关键词: 时序运行模拟, 运营效率, 电网规划, 线损率, 利用率

Abstract:

The operation efficiency of power grid reflects the fine level of power system operation, which has significant influence on the revenue of power grid enterprises. The scientific evaluation on the operation efficiency of future-proofed power grid planning scheme provides significant guidance for the construction of power grid. The evaluation index set of power grid operation efficiency was designed from two aspects: generation and transmission. The calculation method for the evaluation index of power grid operation efficiency was proposed based on the sequential operation simulation technology of power system, which could fully consider the complex boundary conditions and various operating scenarios of power system operation, and comprehensively accurately reflect the operation efficiency of power system. The empirical analysis was carried out on the actual data of Jiangsu power grid planning scheme in 2018, and the impacts of Jinbei-Nanjing UHVDC project and 10 GW wind power base in Jiangsu province on the operation efficiency of power grid were studied. The results show that the construction of Jinbei-Nanjing DC project will increase the network loss and transmission congestion of the power system to some extent, and have a negative effect on the operation efficiency. The integration of wind power will increase the line blocking near the wind farm and thus reduce the operation efficiency of power grid.

Key words: sequential operation simulation, operation efficiency, power grid planning, line loss rate, utilization ratio

中图分类号:

TM 715

黄俊辉，谢珍建，祁万春，葛毅. 基于时序运行模拟的电网运营效率评估方法[J]. 电力建设, 2015, 36(10): 123-128.

HUANG Junhui, XIE Zhenjian，QI Wanchun, GE Yi. Operation Efficiency Assessment Approach for Power Grid Based on Sequential Operation Simulation[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(10): 123-128.

参考文献

［1］唐姗姗. 输电网运营效率评价研究［D］.北京：华北电力大学, 2013
Tang Shanshan. Evaluation survey on the operational efficiency of transmission network［D］. Beijing: North China Electric Power University, 2013.
［2］高赐威,吴茜,陈曦寒,等. 输电网运营效率评价方法研究［J］. 华东电力,2013,41（3）:485-490.
Gao Ciwei, Wu Qian, Chen Xihan, et al. Assessment method of operational efficiency in the transmission network［J］. East China Electric Power,2013,41（3）: 485-490.
［3］高赐威,吴茜,陈曦寒. 国内外输电网利用率比较分析［J］. 华东电力,2013,41（6）:1180-1187.
Gao Ciwei, Wu Qian, Chen Xihan. Comparative analysis of the power grid utilization rate between China and abroad［J］. East China Electric Power, 2013,41（6）:1180-1187.
［4］陈绍君,杨桂钟,黄道姗,等. 层次分析法在电网运营效率评价中的应用［J］. 华东电力,2012,40（11）：1891-1894.
Chen Shaojun, Yang Guizhong, Huang Daoshan, et al. AHP application to power grid operation efficiency evaluation［J］. East China Electric Power, 2012,40（11）：1891-1894.
［5］周明, 冉瑞江, 李庚银. 风电并网系统可用输电能力的评估［J］. 中国电机工程学报, 2010, 30（22）: 14-21
Zhou Ming, Ran Ruijiang, Li Gengyin. Assessment on available transfer capability of wind farm incorporated system［J］. Proceedings of CSEE, 2010, 30（22）: 14-21.
［6］Ciupuliga A R, Gibescu M, Pelgrum E, et al. Round-the-year security analysis with large-scale wind power integration［J］. IEEE Transactions on Sustainable Energy, 2012, 3（1）: 85-93.
［7］吴义纯, 丁明, 李生虎. 风电场对发输电系统可靠性影响的评估［J］. 电工技术学报, 2004, 19（11）: 72-76
Wu Yichun, Ding Ming, Li Shenghu. Reliability assessment of wind farms in generation and transmission systems［J］. Transactions of China Electro technical Society，2004，19（11）：72-76.
［8］曲翀, 王秀丽, 谢绍宇, 等. 含风电电力系统随机生产模拟的改进算法［J］. 西安交通大学学报, 2012, 46（6）: 1-7
Qu Chong, Wang Xiuli, Xie Shaoyu, et al. An improved algorithm for probabilistic production simulation of power systems with wind power［J］. Journal of XiAn Jiaotong University，2012，46（6）：1-7.
［9］Zhang Ning, Kang Chongqing, Kirschen D S, et al. Planning pumped storage capacity for wind power integration［J］. IEEE Transactions on Sustainable Energy, 2013, 4（2）: 393-401.
［10］Zhang Ning,Kang Chongqing, Xia Qing, et al. A convex model of risk-based unit commitment for day-ahead market clearing considering wind power uncertainty［J］. IEEE Transactions on Power Systems, 2015, 30（3）: 1582-1592.
［11］徐天昊. 输电系统理论线损的快速计算方法［D］. 济南：山东大学，2007.
Xu Tianhao. The fast calculation method of transmission loss of power system［D］. Jinan：Shandong University，2007.

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