基于自由能理论的电力系统扰动能量评估

doi:10.19595/j.cnki.1000-6753.tces.170819

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Abstract The accuracy and the calculation speed of disturbance identification have a significant impact on the power equipment safety and power system stability. Until now, the purpose of most researches is to identify the type and location of disturbance. There is no method to identify the disturbance energy. However,the magnitude of disturbance energy reflects the impact of disturbance on power system. If the disturbance energy can be assessed online, the control strategy can be designed according to the disturbance energy. In this paper, the relationship between energy enthalpy and free energy in thermodynamics field is introduced into the description of disturbance free energy. For assessing the disturbance energy size, the free energy of the disturbance was defined to describe the energy transfer strength after the disturbance occurs. To take into account the effect of the initial injection energy of the generators, the free energy changes caused by different types of disturbances were analyzed respectively. And the disturbance free energy function was modified. Finally, the proposed theory was validated using the standard IEEE 39-bus and IEEE 118-bus system. The free energy sizes of different types and positions were analyzed. The relationship between the intensity of disturbance and the free energy was compared. The simulation results show that the disturbance free energy can describe the energy impact for the power system after the disturbance occurs. The proposed method laid the foundation for the control strategies based on the magnitude of disturbance energy.

Key words： Free energy disturbance identification energy identification energy entropy

Received: 12 June 2017 Published: 26 February 2018

PACS:

TM711

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	Qin Junda
	BiTianshu

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Qin Junda,BiTianshu. Evaluation of Power System Disturbance EnergyBased on Free Energy Theory[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 543-552.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170819 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I3/543

[1] Bi Tianshu, Qin Junda, Yan Yuehao, et al.An approach for estimating disturbance arrival time based on structural frame model[J]. IEEE Transactions on Power Systems, 2017, 32(3): 1741-1750.
[2] Heydt G T, Liu C C, Phadke A G, et al.Solution for the crisis in electric power supply[J]. Computer Applications in Power IEEE, 2015, 14(3):22-30.
[3] Ree J D L, Liu Yilu, Mili L, et al. Catastrophic failures in power systems: causes, analyses, and countermeasures[J]. Proceedings of the IEEE, 2005, 93(5):956-964.
[4] 刘玉田, 谭冰雪. 大电网恢复适应性分区方法[J]. 电力系统保护与控制, 2013, 41(2):49-54.
Liu Yutian, Tan Bingxue.Adaptive partition method for large power system restoration[J]. Power System Protection and Control, 2013, 41(2):49-54.
[5] 王涛,张尚,顾雪平,等. 电力系统运行状态的趋势辨识[J].电工技术学报, 2017,30(24):171-180.
Wang Tao, Zhang Shang, Gu Xueping, et al.Trends identification of power system operating states[J]. Transactions of China Electrotechnical Society,2017,30(24):171-180.
[6] 董新洲,曹润彬,王宾,等. 印度大停电与继电保护的三大功能[J]. 电力系统保护与控制,2013,41(2):19-25.
Dong Xinzhou, Cao Runbin, Wang Bin, et al.India blackout and three functions of protective relay[J]. Power System Protection and Control, 2013, 41(2): 19-25.
[7] 王波,江全元,顾伟, 等. 一种适于多分支输电线路的故障定位新方法[J]. 电网技术, 2013, 37(4): 1152-1158.
Wang Bo, Jiang Quanyuan, Gu Wei, et al.A novel fault location method suitable for transmission line with multi branches[J]. Power System Technology, 2013, 37(4): 1152-1158.
[8] 刘譞, 李川. 基于多层次架构的继电保护在线状态评价方法[J]. 电力系统保护与控制, 2017, 45(8): 113-120.
Liu Xuan, Li Chuan.An online evaluation method of relay protection operation state based on multi-level framework[J]. Power System Protection and Control. 2017, 45(8): 113-120.
[9] 任子晖,刘昊岳,徐进霞. 基于小波变换和改进Prony方法的电能质量扰动分析[J]. 电力系统保护与控制,2016,44(9):122-128.
Ren Zihui, Liu Haoyue, Xu Jinxia.Power quality disturbance analysis based on wavelet transform andimproved Prony method[J]. Electric Power Automation Equipment, 2016,44(9):122-128.
[10] 宋晓娜, 毕天姝, 吴京涛. 基于WAMS的电网扰动识别方法[J]. 电力系统自动化,2006, 30(5): 24-28, 73.
Song Xiaona, Bi Tianshu, Wu Jingtao.Study on WAMS based power system disturbance identifying method[J]. Power System Protection and Control, 2006, 30(5): 24-28, 73.
[11] Lin Zhenzhi, Xia Tao, Ye Yanzhu.Application of wide area measurement systems to islandingdetection of bulk power systems[J]. IEEE Transactionson Power Systems, 2013, 28(2): 2006-2015.
[12] Boem F, Ferrari R M G, Keliris C, et al. A distributed networked approach for fault detection of large-scale systems[J]. IEEE Transactions on Automatic Control, 2016, 62(1):18-33.
[13] Lin Y H, Liu C W, Chen C S.A new PMU-based fault detection/location technique for transmission lines with consideration of arcing fault discrimination—part I: theory and algorithms[J]. IEEE Transactions on Power Delivery, 2004, 19(4):1587-1593.
[14] Lin Y H, Liu C W, Chen C S.A new PMU-based fault detection/location technique for transmission lines with consideration of arcing fault discrimination—part II: performance evaluation[J]. IEEE Transactions on Power Delivery, 2004, 19(4):1594-1601.
[15] Zhang Shuai, Gao Houlei, Song Yingtao.A new fault location algorithm for extra-high voltage mixed lines based on phase characteristics of hyperbolic tangent function[J]. IEEE Transactions on Power Delivery, 2016, 31(3): 1203-1212.
[16] 陈仕龙, 谢佳伟, 毕贵红, 等. 一种特高压直流输电线路神经网络双端故障测距新方法[J]. 电工技术学报,2015,30(4):257-264.
Chen Shilong,Xie Jiawei,Bi Guihong, et al.A novel two terminal fault location method used ANN for UHVDC transmission line[J]. Transactions of China Electrotechnical Society, 2015,30(4):257-264.
[17] 罗深增, 李银红, 游昊, 等. 基于同步相量测量单元的串联补偿线路自适应故障定位算法[J]. 电工技术学报, 2017,32(5):143-151.
Luo Shenzeng, Li Yinhong, You Hao,et al.An adaptive fault location algorithm based on PMUmeasurement for series compensated transmission lines[J]. Transactions of China Electrotechnical Society,2017,32(5):143-151.
[18] Liu C H, Lin T C,Yu C S, et al.A fault location technique for two-terminal multi-section compound transmission lines using synchronized phasor measurements[J]. IEEE Transactions on Smart Grid, 2012, 3(1): 113-121.
[19] 曹一家, 王光增, 曹丽华. 基于潮流熵的复杂电网自组织临界态判断模型[J]. 电力系统自动化, 2011, 35(7):1-6.
Cao Yijia, Wang Guangzeng, Cao Lihua.An identification model for self-organized criticality of power grids based on power flow entropy[J]. Automation of Electric Power Systems, 2011, 35(7): 1-6.
[20] 徐岩, 郅静. 基于加权潮流熵的电网故障传播脆弱线路识别[J]. 现代电力,2016, 33(3):88-94.
Xu Yan, Zhi Jing.Identification of vulnerable lines for fault propagation in power grid based on the weighted power flow entropy[J]. Modern Electric Power, 2016, 33(3): 88-94.
[21] Gu Ke, Zhai Guangtao, Yang Xiaokang, et al.Using free energy principle for blind image quality assessment[J]. IEEE Transactions on Multimedia, 2015, 17(1):50-63.
[22] Welch C M, Camden A N, Barr S A, et al.Computation of the binding free energy of peptides to graphene in explicit water[J]. The Journal of Chemical Physics, 2015, 143(4):45104.
[23] Bohner M U, Zeman J, Smiatek J, et al.Nudged-elastic band used to find reaction coordinates based on the free energy[J]. The Journal of Chemical Physics, 2014, 140(7): 363.
[24] Gu Ke, Zhai Guangtao, Lin Weisi, et al.Visual saliency detection with free energy theory[J]. IEEE Signal Processing Letters, 2015, 22(10):1552-1555.
[25] Alberty R A.Standard gibbs free energy, enthalpy, and entropy changes as a function of pH and pMg for several reactions involving adenosine phosphates[J]. Journal of Biological Chemistry, 1969, 244(12):3290-3302.
[26] 魏星, 王晓茹, 王德林,等. 计及发电机内电抗的链式电力系统机电扰动传播研究[J]. 中国电机工程学报, 2014, 34(10):1624-1630.
Wei Xing, Wang Xiaoru, Wang Delin, et al.Research of electromechanical disturbance propagation in a chain power system considering generator internal reactance[J]. Proceedings of the CSEE, 2014, 34(10):1624-1630.