面向运行优化需求的智能配电网关键节点快速匹配方法
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摘要
随着大规模分布式电源、柔性负荷、电动汽车接入智能配电网,配电网呈现出常态化的随机性和波动性,为此开展了智能配电网运行优化控制。为使配电网运行优化更具目的性和针对性,围绕智能配电网运行优化需求,提出了一种智能配电网关键节点的快速匹配方法,设计了智能配电网关键节点快速匹配流程,以负载率作为反映其运行变化的主要指标,通过分析配电网络各节点对负载率的趋势影响方向和程度,寻找出影响配电网运行变化的关键节点,实现关键节点的快速匹配与定位,最后针对运行优化对象提出了相关建议。算例分析结果表明,所提方法能够快速匹配和定位影响智能配电网运行变化的关键节点,并根据提供的相关建议,配电网负载率得到了较好的改善与优化,节点电压也均在允许的范围内。
With large-scale distributed power supply, flexible load and electric vehicle access to smart distribution network, distribution network presents normalized randomness and volatility. Therefore, operation optimization control of intelligent distribution network is carried out. In order to make operation optimization of distribution network more purposeful and pertinent, this paper puts forward a fast matching method for key nodes of intelligent distribution network to meet the requirements of its operation optimization. Taking load rate as the main index reflecting its operation change, a fast matching process of key nodes in intelligent distribution network is designed. By analyzing the influence direction and degree of each node on load rate trend, the key nodes affecting the operation change of distribution network are found to achieve rapid matching and location of key nodes. Finally, some suggestions are put forward for the object of operation optimization. Results show that the proposed method can quickly match and locate the key nodes affecting operation of the intelligent distribution network. Based on relevant suggestions, the load rate of distribution network is improved and optimized, and the node voltage is within allowable range.
With large-scale distributed power supply, flexible load and electric vehicle access to smart distribution network, distribution network presents normalized randomness and volatility. Therefore, operation optimization control of intelligent distribution network is carried out. In order to make operation optimization of distribution network more purposeful and pertinent, this paper puts forward a fast matching method for key nodes of intelligent distribution network to meet the requirements of its operation optimization. Taking load rate as the main index reflecting its operation change, a fast matching process of key nodes in intelligent distribution network is designed. By analyzing the influence direction and degree of each node on load rate trend, the key nodes affecting the operation change of distribution network are found to achieve rapid matching and location of key nodes. Finally, some suggestions are put forward for the object of operation optimization. Results show that the proposed method can quickly match and locate the key nodes affecting operation of the intelligent distribution network. Based on relevant suggestions, the load rate of distribution network is improved and optimized, and the node voltage is within allowable range.
引文
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[13]李冉冉.典型用户负荷特性及用电特点研究[J].机电信息,2016(3):14-15.Li Ranran.Typical user load characteristics and characteristics of electricity consumption[J].Mechanical and Electrical Information,2016(3):14-15(in Chinese).
[14]杨帆,冯翔,阮羚,等.基于皮尔逊相关系数法的水树枝与超低频介损的相关性研究[J].高压电器,2014,50(6):21-25+31.Yang Fan,Feng Xiang,Ruan Ling,et al.Correlation study of water tree and VLF tanδbased on Pearson correlation coefficient[J].High Voltage Apparatus,2014,50(6):21-25+31(in Chinese).
[15]杨勇,张东升,王艳茹,等.基于正弦函数的直觉模糊集相似度测量及其应用[J].计算机工程与科学,2018,40(1):133-138.Yang Yong,Zhang Dongsheng,Wang Yanru,et al.Similarity measure of intuitionistic fuzzy sets based on sine function and its application[J].Computer Engineering and Science,2018,40(1):133-138(in Chinese).
[16]张梦凡.可中断负荷的成本效益分析及考虑不确定需求响应的优化调度方法[D].杭州:浙江大学,2018.
[17]宋文.含分布式发电的配电网优化规划研究[D].济南:山东大学,2014.
[18]朱栋.典型负荷用电行为模式分析方法及其应用研究[D].南京:东南大学,2017.
[19]卢佳.考虑电动汽车充电负荷的城市电网负荷特性研究[D].昆明:昆明理工大学,2018.
[20]冯士睿,王莹,牛涛.南通电网典型地区风电与光伏出力统计特性分析[J].电工电气,2018(8):20-24.Feng Shirui,Wang Ying,Niu Tao.Analysis on statistical characteristics of wind power and photovoltaic output in type area of nantong power grid[J].Electrotechnics Electrics,2018(8):20-24(in Chinese).
[21]Wang Zhe,Li Jingru,Yang Weihong,et al.Impact of distributed generation on the power supply reliability[C]//Innovative Smart Grid Technologies-Asia(ISGT Asia),2012IEEE,Tianjin,2012:123-126.
[2]Jenifernisha,Yogesh S,Palanisamy M.Integrated renewable energy sources with storage based smart power distribution system[C]//2014International Conference on Advances in Electrical Engineering(ICAEE),Vellore,2014,89-94.
[3]苗新,张东霞,孙德栋.在配电网中应用大数据的机遇与挑战[J].电网技术,2015,39(11):3122-3127.Miao Xin,Zhang Dongxia,Sun Dedong.The opportunity and challenge of big data’s application in power distribution networks[J].Power System Technology,2015,39(11):3122-3127(in Chinese).
[4]徐熙林,宋依群,姚良忠,等.主动配电网源-荷-储分布式协调优化运行(一):基于一致性理论的分布式协调控制系统建模[J].中国电机工程学报,2018,38(10):2841-2848+3135.Xu Xilin,Song Yiqun,Yao Liangzhong.et al.Source-load-storage distributed coordinative optimization of AND(part I):consensus based distributed coordination system modeling[J].Proceedings of the CSEE,2018,38(10):2841-2848+3135(in Chinese).
[5]徐熙林,宋依群,姚良忠,等.主动配电网源-荷-储分布式协调优化运行(二):考虑非理想遥测环境的一致性算法[J].中国电机工程学报,2018,38(11):3244-3254.Xu Xilin,Song Yiqun,Yao Liangzhong,et al.Source-load-storage distributed coordinative optimization of ADN(Part II):consensus algorithm considering non-ideal telemetering network[J].Proceedings of the CSEE,2018,38(11):3244-3254(in Chinese).
[6]梁俊文,林舜江,刘明波.主动配电网分布式无功优化控制方法[J].电网技术,2018,42(1):230-237.Liang Junwen,Lin Shunjiang,Liu Mingbo.A method for distributed optimal reactive power control of active distribution network[J].Power System Technology,2018,42(1):230-237(in Chinese).
[7]Deshmukh S,Natarajan B,Pahwa A.Voltage/VAR control in distribution networks via reactive power injection through distributed generators[J].IEEE Transactions on Smart Grid,2012,3(3):1226-1234.
[8]尤毅,刘东,钟清,等.多时间尺度下基于主动配电网的分布式电源协调控制[J].电力系统自动化,2014,38(9):192-198+203.You Yi,Liu Dong,Zhong Qing,et al.Multi-time scale coordinated control of distributed generators based on active distribution network[J].Automation of Electric Power Systems,2014,38(9):192-198+203(in Chinese).
[9]徐心怡,贺兴,艾芊,等.基于随机矩阵理论的配电网运行状态相关性分析方法[J].电网技术,2016,40(3):781-790.Xu Xinyi,He Xing,Ai Qian,et al.A correlation analysis method for operation status of distribution network based on random matrix theory[J].Power System Technology,2016,40(3):781-790(in Chinese).
[10]任鹏飞,谷灵康.基于粒子群进化的输电网络WSN节点定位算法[J].沈阳工业大学学报,2018,40(5):541-546.Ren Pengfei,Gu Lingkang.WSN node localization algorithm for power transmission networks based on particle swarm optimization[J].Journal of Shenyang University of Technology,2018,40(5):541-546(in Chinese).
[11]张龙斌,袁瑶,孟晗辉.有源智能配电网供电安全性与脆弱性的研究[J].科技创新导报,2014(2):15,17.Zhang Longbin,Yuan Yao,Meng Hanhui.Research on power supply security and vulnerability of active intelligent distribution network[J].Science and Technology Innovation Herald,2014(2):15,17(in Chinese).
[12]李惠玲,白晓民.电动汽车充电对配电网的影响及对策[J].电力系统自动化,2011,35(17):38-43.Li Huiling,Bai Xiaomin.Impacts of electric vehicles charging on distribution grid[J].Automation of Electric Power Systems,2011,35(17):38-43(in Chinese).
[13]李冉冉.典型用户负荷特性及用电特点研究[J].机电信息,2016(3):14-15.Li Ranran.Typical user load characteristics and characteristics of electricity consumption[J].Mechanical and Electrical Information,2016(3):14-15(in Chinese).
[14]杨帆,冯翔,阮羚,等.基于皮尔逊相关系数法的水树枝与超低频介损的相关性研究[J].高压电器,2014,50(6):21-25+31.Yang Fan,Feng Xiang,Ruan Ling,et al.Correlation study of water tree and VLF tanδbased on Pearson correlation coefficient[J].High Voltage Apparatus,2014,50(6):21-25+31(in Chinese).
[15]杨勇,张东升,王艳茹,等.基于正弦函数的直觉模糊集相似度测量及其应用[J].计算机工程与科学,2018,40(1):133-138.Yang Yong,Zhang Dongsheng,Wang Yanru,et al.Similarity measure of intuitionistic fuzzy sets based on sine function and its application[J].Computer Engineering and Science,2018,40(1):133-138(in Chinese).
[16]张梦凡.可中断负荷的成本效益分析及考虑不确定需求响应的优化调度方法[D].杭州:浙江大学,2018.
[17]宋文.含分布式发电的配电网优化规划研究[D].济南:山东大学,2014.
[18]朱栋.典型负荷用电行为模式分析方法及其应用研究[D].南京:东南大学,2017.
[19]卢佳.考虑电动汽车充电负荷的城市电网负荷特性研究[D].昆明:昆明理工大学,2018.
[20]冯士睿,王莹,牛涛.南通电网典型地区风电与光伏出力统计特性分析[J].电工电气,2018(8):20-24.Feng Shirui,Wang Ying,Niu Tao.Analysis on statistical characteristics of wind power and photovoltaic output in type area of nantong power grid[J].Electrotechnics Electrics,2018(8):20-24(in Chinese).
[21]Wang Zhe,Li Jingru,Yang Weihong,et al.Impact of distributed generation on the power supply reliability[C]//Innovative Smart Grid Technologies-Asia(ISGT Asia),2012IEEE,Tianjin,2012:123-126.
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