电—气集成能源系统环境下的电力系统动态输电断面识别
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摘要
随着电力系统中可再生能源发电占比的不断增加和电转气技术的逐步成熟,电力系统和天然气系统的耦合程度逐步加深,电-气集成能源系统应运而生。这将影响电力系统的运行状态,进而影响对输电断面的识别。在此背景下,发展考虑IEGES运行安全性的电力系统动态输电断面识别方法。首先,以最小化系统运行成本为目标函数,考虑电力系统的物理运行约束,建立IEGES环境下电力系统的运行优化模型。接着,采用扩展拉丁超立方算法模拟间歇性可再生能源发电出力的不确定性,并对样本进行削减并生成含概率信息的典型场景集合。然后,采用基于分区的输电断面搜索方法对IEGES环境下的电力系统进行输电断面识别。最后,以修改的IEEE 39节点电力系统和比利时20节点天然气系统所构成的IEGES为例,对所提方法进行说明并验证其有效性。
With ever increasing share of natural gas power generation in a power system and the gradually matured gas(P2 G) technology, the coupling of the power system and natural gas system is reinforced accordingly and an integrated electricity-gas energy system(IEGES) will then be built. This will inevitably lead to operation state changes of power system and have impacts on the identification of dynamic power transmission sections. Given this background, a method is proposed to identify dynamic power transmission sections in the power system by considering the operation security of IEGES.Firstly,considering the operation constraints of power system,the operation optimization model of power system in the IEGES environment is built to minimize the system operation cost as the objective function.Next,an improved Latin hypercube sampling(LHS)algorithm is utilized to simulate the uncertainties of intermittent renewable energy generation outputs and generate typical scenarios with associate probabilities included.Then,the identification of power transmission sections is carried out by applying a search method of regional transmission section.Finally,an IEGES including a modified IEEE 39-bus power system and a Belgium 20-bus natural gas system is simulated to demonstrate the proposed method.
With ever increasing share of natural gas power generation in a power system and the gradually matured gas(P2 G) technology, the coupling of the power system and natural gas system is reinforced accordingly and an integrated electricity-gas energy system(IEGES) will then be built. This will inevitably lead to operation state changes of power system and have impacts on the identification of dynamic power transmission sections. Given this background, a method is proposed to identify dynamic power transmission sections in the power system by considering the operation security of IEGES.Firstly,considering the operation constraints of power system,the operation optimization model of power system in the IEGES environment is built to minimize the system operation cost as the objective function.Next,an improved Latin hypercube sampling(LHS)algorithm is utilized to simulate the uncertainties of intermittent renewable energy generation outputs and generate typical scenarios with associate probabilities included.Then,the identification of power transmission sections is carried out by applying a search method of regional transmission section.Finally,an IEGES including a modified IEEE 39-bus power system and a Belgium 20-bus natural gas system is simulated to demonstrate the proposed method.
引文
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[14]郑宇,李杨,焦丰顺,等.含风电机组与电转气设备的虚拟电厂竞价策略[J].电力建设,2017,38(7):88-95.ZHENG Yu,LI Yang,JIAO Feng-shun.Optimal bidding strategies for virtual power plants including wind power generation units and power-to-gas facilities [J].Electric Power Construction,2017,38(7):88-95.
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[2]林济铿,杨添剀,胡世俊,等.基于模糊聚类和最短路径的关键输电断面确定新方法[J].电力系统自动化,2015,39(5):134-141.LIN Ji-keng,YANG Tian-kai,HU Shi-jun,et al.A new fast search method of key power flow transfer section based on random fuzziness clustering algorithm and shortest path algorithm [J].Automation of Electric Power Systems,2015,39(5):134-141.
[3]董朝阳,赵俊华,文福拴,等.从智能电网到能源互联网:基本概念与研究框架 [J].电力系统自动化,2014,38(15):1-11.DONG Zhao-yang,ZHAO Jun-hua,WEN Fu-shuan,et al.From smart grid to energy internet:basic concept and research framework [J].Automation of Electric Power Systems,2014,38(15):1-11.
[4]ZHANG X P,SHAHIDEHPOUR M,ALABDULWAHAB A S,et al.Security-constrained co-optimization planning of electricity and natural gas transportation infrastructures [J].IEEE Transactions on Power Systems,2015,30(6):2 984-2 993.
[5]孙国强,陈霜,卫志农,等.计及相关性的电-气互联系统概率最优潮流[J].电力系统自动化,2015,39(21):11-17.SUN Guo-qiang,CHEN Shuang,WEI Zhi-nong,et al.Probabilistic optimal power flow of combined natural gas and electric system considering correlation [J].Automation of Electric Power Systems,2015,39(21):11-17.
[6]ALABDULWAHAB A,ABUSORRAH A,ZHANG X P,et al.Stochastic security-constrained scheduling of coordinated electricity and natural gas infrastructures [J].IEEE Systems Journal,2015,3(14):1-10.
[7]李杨,刘伟佳,赵俊华,等.含电转气的电-气-热系统协同调度与消纳风电效益分析[J].电网技术,2016,40(12):3 680-3 688.LI Yang,LIU Wei-jia,ZHAO Jun-hua,et al.Optimal dispatch of combined electricity-gas-heat energy system with power-to-gas devices and benefit analysis of wind power accommodation [J].Power System Technology,2016,40(12):3 680-3 688.
[8]赵峰,孙宏斌,张伯明.基于电气分区的输电断面及其自动发现[J].电力系统自动化,2011,35(5):42-46,81.ZHAO Feng,SUN Hong-bin,ZHANG Bo-ming.Electrical zone division based automatic discovery of flowgates [J].Automation of Electric Power Systems,2011,35(5):42-46,81.
[9]苗世洪,马帅,尚亚男,等.基于割点和路径搜索的输电断面快速识别方法[J].电力系统自动化,2014,38(2):39-45.MIAO Shi-hong,MA Shuai,SHANG Ya-nan,et al.A fast recognition method of transmission section based on cut-vertex and path search [J].Automation of Electric Power Systems,2014,38(2):39-45.
[10]杨燕,文福拴,王洁,等.计及关键支路的输电断面自动确定方法[J].电力系统自动化,2012,36(14):6-10.YANG Yan,WEN Fu-shuan,WANG Jie,et al.A method for automatic discovery of transmission sections with critical branches taken into consideration [J].Automation of Electric Power Systems,2012,36(14):6-10.
[11]王紫琪,和敬涵,张大海,等.基于电流转移比例系数的复杂网络输电断面识别方法[J].电网技术,2017,41(3):915-922.WANG Zi-qi,HE Jing-han,ZHANG Da-hai,et al.Identification method of key transmission section in complex power grid based on current transferring ratio [J].Power System Technology,2017,41(3):915-922.
[12]罗钢,杨银国,钱峰.含风电场的电力系统动态关键输电断面分析[J].广东电力,2016,29(10):54-61.LUO Gang,YANG Yin-guo,QIAN Feng.Dynamic key power transmission sections of power systems integrated with wind farms [J].Guangdong Electric Power,2016,29(10):54-61.
[13]刘伟佳,文福拴,薛禹胜,等.电转气技术的成本特征与运营经济性分析[J].电力系统自动化,2016,40(24):1-11.LIU Wei-jia,WEN Fu-shuan,XUE Yu-sheng,et al.Cost characteristics and economic analysis of power-to-gas technology [J].Automation of Electric Power Systems,2016,40(24):1-11.
[14]郑宇,李杨,焦丰顺,等.含风电机组与电转气设备的虚拟电厂竞价策略[J].电力建设,2017,38(7):88-95.ZHENG Yu,LI Yang,JIAO Feng-shun.Optimal bidding strategies for virtual power plants including wind power generation units and power-to-gas facilities [J].Electric Power Construction,2017,38(7):88-95.
[15]RODRIGUEZ A,LAIO A.Clustering by fast search and find of density peaks [J].Science,2014,344(6191):1 492-1 496.
[16]DIJKSTRA E.A note on two problems in connection with graphs [J].Numerical Mathemat,1959(1):269-271.
[17]TONG C.Refinement strategies for stratified sampling methods [J].Reliability Engineering & System Safety,2006,91(10,11):1 257-1 265.
[18]BOUFFARD F,GALIANA F D.Stochastic security for operation planning with significant wind power generation [J].IEEE Transactions on Power Systems,2008,23(2):306-316.
[19]GROWE-KUSKA N,HEITSCH H,ROMISCH W.Scenario reduction and scenario tree construction for power management problems [C] IEEE Bologna Power Tech Conference,Bologna,Italy,2003.
[20]鞠文云,李银红.基于最大流传输贡献度的电力网关键线路和节点辨识[J].电力系统自动化,2012,36(9):6-12.JU Wen-yun,LI Yin-hong.Identification of critical lines and nodes in power grid based on maximum flow transmission contribution degree [J].Automation of Electric Power Systems,2012,36(9):6-12.