Three-Phase Unbalanced Random Fuzzy Dynamic Power Flow Method for Active Distribution Network Containing Energy Hubs with Priority Utilization of Wind Power
Ma Rui, Guo Guang
School of Electrical and Information Engineering Changsha University of Science & Technology Changsha 410114 China
Abstract：A three-phase unbalanced random fuzzy dynamic power flow method for active distribution network(ADN) containing energy hubs(EHs) with priority utilization of wind power is proposed, Firstly, the daily wind power was described by random fuzzy variables. The cooling/heating and electric improved coupling mode of EH's priority utilization of wind power and its exchange power model with ADN were proposed through the comparison of the daily cooling/heating and electric loads. Then, the three-phase unbalanced random fuzzy dynamic power flow model of ADN with EHs that use wind power preferentially was established by considering the wind power penetration level of direct access distribution network and exchange power of EH, the interaction states of source, load and islands between ADN and transmission network. Finally, the model was solved by combining random fuzzy simulation, back/forward sweep method and unbalanced three-phase decoupling. From the simulation results of the improved IEEE 33-bus system, it is suggested that the proposed method can effectively improve the wind power utilization rate of EH, and the daily scheduling power flow results with random fuzziness and volatility are more comprehensive and objective.
马瑞, 郭光. 含优先利用风电能量枢纽主动配电网三相不平衡随机模糊动态潮流方法[J]. 电工技术学报, 2020, 35(3): 590-602.
Ma Rui, Guo Guang. Three-Phase Unbalanced Random Fuzzy Dynamic Power Flow Method for Active Distribution Network Containing Energy Hubs with Priority Utilization of Wind Power. Transactions of China Electrotechnical Society, 2020, 35(3): 590-602.
[1] 王成山, 洪博文, 郭力, 等. 冷热电联供微网优化调度通用建模方法[J]. 中国电机工程学报, 2015, 33(31): 26-33. Wang Chengshan, Hong Bowen, Guo Li, et al.A general modeling method for optimal dispatch of combined cooling, heating and power microgrid[J]. Proceedings of the CSEE, 2015, 33(31): 26-33. [2] 马瑞, 张强, 吴瑕, 等. 日风速随机模糊不确定模型[J]. 中国电机工程学报, 2015, 35(24): 6351-6358. Ma Rui, Zhang Qiang, Wu Xia, et al.Random fuzzy uncertain model for daily wind speed[J]. Proceedings of the CSEE, 2015, 35(24): 6351-6358. [3] 刘艳, 叶茂, 顾雪平, 等. 基于概率分布列的风电参与黑启动时电力系统安全裕度分析[J]. 电工技术学报, 2018, 33(21): 5059-5068. Liu Yan, Ye Mao, Gu Xueping, et al.Probability distribution column based security margin analysis of power system with wind power participating in black start[J]. Transactions of China Electrotechnical Society, 2018, 33(21): 5059-5068. [4] 沈小军, 周冲成, 吕洪. 基于运行数据的风电机组间风速相关性统计分析[J]. 电工技术学报, 2017, 32(16): 265-274. Shen Xiaojun, Zhou Chongcheng, Lü Hong.Statistical analysis of wind speed correlation between wind turbines based on operational data[J]. Transactions of China Electrotechnical Society, 2017, 32(16): 265-274. [5] 张晓英, 王琨, 张蜡宝. 基于切片采样的风力发电并网系统概率潮流计算[J]. 电工技术学报, 2016, 31(23): 100-106. Zhang Xiaoying, Wang Kun, Zhang Labao.Probabilistic load flow calculation based on slice sampling for wind farms integration system[J]. Transactions of China Electrotechnical Society, 2016, 31(23): 100-106. [6] 方斯顿, 程浩忠, 徐国栋, 等. 基于Nataf变换含相关性的扩展准蒙特卡洛随机潮流方法[J]. 电工技术学报, 2017, 32(2): 255-263. Fang Sidun, Cheng Haozhong, Xu Guodong, et al.A nataf transformation based on extended quasi monte carlo simulation method for solving probabilistic load flow problems with correlated random variables[J]. Transactions of China Electrotechnical Society, 2017, 32(2): 255-263. [7] Aien M, Fotuhi-Firuzabad M, Aminifar F.Probabilistic load flow in correlated uncertain environment using unscented transformation[J]. IEEE Transactions on Power Systems, 2012, 27(4): 2233-2241. [8] Soleimanpour N, Mohammadi M.Probabilistic load flow by using nonparametric density estimators[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3747-3755. [9] 洪芦诚, 石立宝, 姚良忠, 等. 计及风电场发电功率不确定性的电力系统模糊潮流[J]. 电工技术学报, 2010, 25(8): 116-122, 130. Hong Lucheng, Shi Libao, Yao Liangzhong, et al.Fuzzy modelling and solution of load flow incorporating uncertainties of wind farm generation[J]. Transactions of China Electrotechnical Society, 2010, 25(8): 116-122, 130. [10] Cortés-Carmona M, Palma-Behnke R, Jimenez-Estevez G.Fuzzy arithmetic for the DC load flow[J]. IEEE Transactions on Power Systems, 2010, 25(1): 206-214. [11] 胡健, 付立军, 马凡, 等. 基于仿射算术优化的不确定系统区间潮流快速分解法[J]. 电工技术学报, 2016, 31(23): 125-131. Hu Jian, Fu Lijun, Ma Fan, et al.Fast decoupled power flow calculation of uncertainty system based on interval affine arithmetic optimization[J]. Transactions of China Electrotechnical Society, 2016, 31(23): 125-131. [12] 廖小兵, 刘开培, 张亚超, 等. 基于区间泰勒展开的不确定性潮流分析[J]. 电工技术学报, 2018, 33(4): 750-758. Liao Xiaobing, Liu Kaipei, Zhang Yachao, et al.Uncertain power flow analysis based on interval Taylor expansion[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 750-758. [13] Vaccaro A, Cañizares C A, Bhattacharya K.A range arithmetic-based optimization model for power flow analysis under interval uncertainty[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1179-1186. [14] 鲍海波, 韦化, 郭小璇, 等. 考虑风电不确定性的概率区间潮流模型与算法[J]. 中国电机工程学报, 2017, 37(19): 5633-5642. Bao Haibo, Wei Hua, Guo Xiaoxuan, et al.Model and algorithm of probabilistic interval power flow considering wind power uncertainty[J]. Proceedings of the CSEE, 2017, 37(19): 5633-5642. [15] 薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040. Xue Yusheng, Lei Xing, Xue Feng, et al.A review on impacts of wind power uncertainties on power system[J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040. [16] 孙国强, 李逸驰, 向育鹏, 等. 计及风速时空相关性的含风电场电力系统动态随机最优潮流计算[J]. 中国电机工程学报, 2015, 35(17): 4308-4317. Sun Guoqiang, Li Yichi, Xiang Yupeng, et al.Dynamic stochastic optimal power flow of wind integrated power system considering temporal and spatial correlation of wind speed[J]. Proceedings of the CSEE, 2015, 35(17): 4308-4317. [17] 孙辰, 刘东, 李庆生. 信息物理融合的主动配电网动态潮流研究[J]. 中国电机工程学报, 2016, 36(6): 1509-1516. Sun Chen, Liu Dong, Li Qingsheng.Research on dynamic power flow of active distribution network based on cyber-physical fusion[J]. Proceedings of the CSEE, 2016, 36(6): 1509-1516. [18] 王毅, 张宁, 康重庆. 能源互联网中能量枢纽的优化规划与运行研究综述和展望[J]. 中国电机工程学报, 2015, 35(22): 5669-5681. Wang Yi, Zhang Ning, Kang Chongqing.Review and prospect of optimal planning and operation of energy hub in energy internet[J]. Proceedings of the CSEE, 2015, 35(22): 5669-5681. [19] 徐宪东, 贾宏杰, 靳小龙, 等. 区域综合能源系统电/气/热混合潮流算法研究[J]. 中国电机工程学报, 2015, 35(14): 3634-3642. Xu Xiandong, Jia Hongjie, Jin Xiaolong, et al.Study on hybrid heat-gas-power flow algorithm for integrated community energy system[J]. Proceedings of the CSEE, 2015, 35(14): 3634-3642. [20] 林威, 靳小龙, 穆云飞, 等. 区域综合能源系统多目标最优混合潮流算法[J]. 中国电机工程学报, 2017, 37(20): 5829-5839. Lin Wei, Jin Xiaolong, Mu Yunfei, et al.Multi-objective optimal hybrid power flow algorithm for integrated local area energy system[J]. Proceedings of the CSEE, 2017, 37(20): 5829-5839. [21] Moeini-Aghtaie M, Abbaspour A, Fotuhi-Firuzabad M, et al.A decomposed solution to multiple-energy carriers optimal power flow[J]. IEEE Transactions on Power Systems, 2014, 29(2): 707-716. [22] 苗键强, 张宁, 康重庆. 能量路由器对于配电网运行优化的影响分析[J]. 中国电机工程学报, 2017, 37(10): 2832-2839. Miao Jianqiang, Zhang Ning, Kang Chongqing.Analysis on the influence of energy router on the optimal operation of distribution network[J]. Proceedings of the CSEE, 2017, 37(10): 2832-2839. [23] 李红伟, 孙宏斌, 张安安, 等. 基于正序分量的含PV 节点的三相配网潮流算法[J]. 中国电机工程学报, 2012, 32(1): 115-121. Li Hongwei, Sun Hongbin, Zhang Anan, et al.Positive-sequence component based three-phase unbalanced power flow solution for distribution system with PV nodes[J]. Proceedings of the CSEE, 2012, 32(1): 115-121. [24] 杨雄, 卫志农, 孙国强, 等. 主动配电网三相解耦潮流算法[J]. 电工技术学报, 2016, 31(2): 186-195. Yang Xiong, Wei Zhinong, Sun Guoqiang, et al.Three-phase decoupled power flow algorithm for active aistribution networks[J]. Transactions of China Electrotechnical Society, 2016, 31(2): 186-195. [25] 苏申, 阮玉斌, 刘庆珍, 等. 配电网三相潮流计算方法研究[J]. 电气技术, 2017, 18(2): 1-4, 35. Su Shen, Ruan Yubin, Liu Qingzhen, et al.Research review of three-phase power flow methods for distribution system[J]. Electrical Technology, 2017, 18(2): 1-4, 35. [26] Li Miao, Mu Hailin, Li Nan, et al.Optimal option of natural-gas district distributed energy systems for various buildings[J]. Energy and Buildings, 2014, 75: 70-83. [27] 陈醒, 卫志农, 沈海平, 等. 基于双解耦的配电网三相不平衡快速潮流算法[J]. 电力自动化设备, 2017, 37(10): 63-70. Chen Xing, Wei Zhinong, Shen Haiping, et al.Three-phase unbalanced fast power flow calculation algorithm based on double decoupling for distribution network[J]. Electric Power Automation Equipment, 2017, 37(10): 63-70.
2020, Vol. 35 
