Abstract The study of the virtual power plant operation mechanism can provide technical support for the integration of distributed power in demand side. And the interruptible load is one of the important forms of demand response. It can help with the volatility suppression and new energy absorption. This paper focused on the scheduling strategy of virtual power plant containing interruptible load, wind farms and conventional units. To improve the accuracy of the wind power output probability analysis, Gumbel-Copula was introduced to describe the correlation between wind farms. Thus the wind power joint output model was established. Considering the peak shaving characteristic, let the interruptible load run as the conventional units. And constraints such as the breaking number, the breaking time and the capacity of interruptible load were all considered. The established model was solved by improved invasion weeds algorithm based on differential evolution strategy. The results of case study show that, compared with other two kinds of conventional strategies, the proposed scheduling strategy in this paper can reduce the total operation cost, decrease the remaining wind power, and improve the utilization of new energy at the same time.
Lu Jinling,Yu Huimin. Stochastic Scheduling Strategy of Resources in Virtual Power Plant Considering Wind Power Dependence Structure[J]. Transactions of China Electrotechnical Society, 2017, 32(17): 67-74.
[1] 文晶,刘文颖,谢昶,等.计及风电消纳效益的电力系统源荷协调二层优化模型[J]. 电工技术学报,2015,30(8):247-256. Wen Jing,Liu Wenying,Xie Chang,et al.Source-load coordination optimal model considering wind power consumptive benefits based on bi-level programming[J].Transactions of China Electrotechnical Society,2015,30(8):247-256. [2] 张磊,罗毅,肖雅元,等.大规模风电并网条件下AGC机组跨区分布式最优协调控制[J].电工技术学报,2016,31(9):42-49. Zhang Lei,Luo Yi, Xiao Yayuan,et al.Trans-regional and distributed optimal coordination control of AGC units under large-scale wind power grid[J].Transactions of China Electrotechnical Society,2016,31(9):42-49. [3] 贝太周,王萍,蔡蒙蒙.注入三次谐波扰动的分布式光伏并网逆变器孤岛检测技术[J].电工技术学报,2015,30(7):44-51. Bei Taizhou,Wang Ping,Cai Mengmeng. An islanding detection method with the third harmonic injection for distributed grid-connected PV inverters[J].Transactions of China Electrotechnical Society,2015,30(7) :44-51. [4] 刘吉臻,李明扬,房方,等.虚拟发电厂研究综述[J].中国电机工程学报,2014,34(29):5104-5111. Liu Jizhen,Li Mingyang,Fang Fang,et al.Review on virtual power plants[J].Proceedings of the CSEE,2014,34(29):5104-5111. [5] 刘吉臻.大规模新能源安全高效利用基础问题[J].中国电机工程学报,2013,33(16):1-8. Liu Jizhen.Basic issues of the utilization of large-scale renewable power with high security and efficiency[J].Proceedings of the CSEE,2013,33(16):1-8. [6] 刘壮志,许柏婷,牛东晓.智能电网需求响应与均衡分析发展趋势[J].电网技术,2013,37(6):1555-1561. Liu Zhuangzhi,Xu Baiting,Niu Dongxiao.Development tendency of equilibrium analysis and demand response for smart grid[J].Power System Technology,2013,37(6):1555-1561. [7] 肖欣,周渝慧,郑凯中,等.台湾实施可中断电价进行削峰填谷的需求响应策略及其成本效益分析[J].中国电机工程学报,2014,34(22):3615-3621. Xiao Xin, Zhou Yuhui, Zheng Kaizhong,et al.Research on strategy of interruptible price and its cost-benefit model aimed at peak load shifting in Taiwan[J].Proceedings of the CSEE,2014,34(22):3615-3621. [8] 杨楠,王波,刘涤尘,等.计及大规模风电和柔性负荷的电力系统供需侧联合随机调度方法[J].中国电机工程学报,2013,33(16):63-69. Yang Nan,Wang Bo,Liu Dichen,et al.An integrated supply-demand stochastic optimization method considering large-scale wind power and flexible load[J].Proceedings of the CSEE,2013,33(16):63-69. [9] 艾欣,周树鹏,赵阅群.基于场景分析的含可中断负荷的优化调度模型研究[J].中国电机工程学报,2014(增刊1):25-31. Ai Xin, Zhou Shupeng, Zhao Yuequn. Research on optimal dispatch model considering interruptible loads based on scenario analysis[J].Proceedings of the CSEE,2014(S1):25-31. [10]Majumdar S,Chattopadhyay D,Parikh J.Interruptible load management using optimal power flow analysis[J].IEEE Transactions on Power Systems,1996,11(2):715-720. [11]Aminifar F,Fotuhi-Firuzabad M,Shahidehpour M.Unit commitment with probabilistic spinning reserve and interruptible load considerations[J].IEEE Transactions on Power Systems,2009,24(1):388-397. [12]刘畅,张少华,王晛.多时段可中断负荷调度的智能优化算法[J].电力系统保护与控制,2010,38(24):105-109. Liu Chang,Zhang Shaohua,Wang Xian.Intelligent optimization algorithms for multi-period dispatch of interruptible loads[J].Power System Protection and Control,2010,38(24):105-109. [13]蔡菲,严正,赵静波,等.基于Copula理论的风电场间风速及输出功率相依结构建模[J].电力系统自动化,2013,37(17):9-16. Cai Fei,Yan Zheng,Zhao Jingbo,et al.Dependence structure models for wind speed and power among different wind farms based on Copula theory[J]. Automation of Electric Power Systems,2013,37(17):9-16. [14]季峰,蔡兴国,王俊.基于混合Copula函数的风电功率相关性分析[J].电力系统自动化,2014,38(2):1-5. Ji Feng,Cai Xingguo,Wang Jun,et al.Wind power correlation analysis based on hybrid Copula[J].Automation of Electric Power Systems,2014,38(2):1-5. [15]王戈, 于宏毅, 沈智翔,等.一种基于EM算法的快速收敛参数估计方法[J].吉林大学学报:工学版,2013,43(2):532-537. Wang Ge,Yu Hongyi,Shen Zhixiang,et al.Fast convergence parameter estimation method based on expectation-maximum algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2013,43(2):532-537. [16]季阳. 基于多代理系统的虚拟发电厂技术及其在智能电网中的应用研究[D].上海:上海交通大学,2011. [17]杨洪明,王爽,易德鑫,等.考虑多风电场出力相关性的电力系统随机优化调度[J].电力自动化设备,2013,33(1):114-120. Yang Hongming,Wang Shuang,Yi Dexin,et al.Stochastic optimal dispatch of power system considering multi-wind power correlation[J].Electric Power Automation Equipment,2013,33(1):114-120. [18]王建华,张国钢,耿英三,等.智能电器最新技术研究及应用发展前景[J].电工技术学报,2015,30(9):1-11. Wang Jianhua,Zhang Guogang,Geng Yingsan,et al.The latest technology research and application prospects of the intelligent electrical apparatus[J].Transactions of China Electrotechnical Society,2015,30(9):1-11. [19]陈欢.入侵杂草优化算法的改进分析及应用研究[D].南宁:广西民族大学,2013. [20]吕忠,周强,蔡雨昌.含分布式电源的DEIWO算法配电网无功优化[J].电力系统保护与控制,2015,43(4):69-73. Lü Zhong,Zhou Qiang,Cai Yuchang.Reactive power optimization in distribution network with distributed generation on DEIWO algorithm[J].Power System Protection and Control,2015,43(4):69-73.
2017, Vol. 32 
