考虑风电出力不确定性的发用电机组组合方法

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摘要由于风电出力的不确定性,大规模风电接入电网将对电力系统的安全经济运行产生严重的影响。为了更好地消纳风电,从发电和用电两个角度出发,根据风电出力的Beta概率密度函数,提出基于风电概率模型的弃风成本和可中断负荷成本的发用电一体优化方法。为提高该方法的求解效率和实用性,在建模中仅引入机组组合变量,并采用Delta方法将非线性模型转换为线性模型求解。最后采用多个场景算例说明了模型与方法的实用性和有效性。

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	孙欣
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关键词 ：风电, 机组组合, 概率密度, 可中断负荷

Abstract：The uncertainty of wind power will have serious impacts on the safe and economic operation of power system when large-scale wind powers are integrated. In order to have a better consumption of wind power, according to Beta probability function of wind power, an optimization method is proposed based on the costs of abandoned wind powers and interruptible loads. To improve the efficiency of the method, only unit commitment variables are used, and the Delta method is introduced to convert the nonlinear model to linear model. Finally, a numerical example of multiple scenarios verifies the practicability and effectiveness of the method.

Key words： Wind power unit commitment probability density interruptible load

收稿日期: 2015-07-16 出版日期: 2017-03-01

PACS:

TM715

基金资助:国家自然科学基金（51007032）和江苏高校优势学科建设工程（苏政办发[2011]6号）资助项目

通讯作者: 孙欣女,1980年生,博士,副教授,研究方向为可再生能源发电、智能电网和电力经济调度。E-mail: moisophie@mail.ujs.edu.cn

作者简介: 方陈男,1983年生,博士,研究方向为智能电网、分布式新能源和微网优化运行。E-mail: fangc02@gmail.com

引用本文:

孙欣, 方陈, 沈风, 马群. 考虑风电出力不确定性的发用电机组组合方法[J]. 电工技术学报, 2017, 32(4): 204-211. Sun Xin, Fang Chen, Shen Feng, Ma Qun. An Integrated Generation-Consumption Unit Commitment Model Considering the Uncertainty of Wind Power. Transactions of China Electrotechnical Society, 2017, 32(4): 204-211.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I4/204

[1] 中国可再生能源学会风能专业委员会. 2013年中国风电装机容量统计[R]. 2014
[2] 王彩霞, 乔颖, 鲁宗相. 考虑风电效益的风火互济系统旋转备用确定方式[J]. 电力系统自动化, 2012, 36(4): 16-21.
Wang Caixia, Qiao Ying, Lu Zongxiang. A method for determination of spinning reserve in wind-thermal power systems considering wind power benefits[J]. Automation of Electric Power Systems, 2012, 36(4): 16-21.
[3] 王丹平, 陈之栩, 涂孟夫, 等. 考虑大规模风电接入的备用容量计算[J]. 电力系统自动化, 2012, 36(21): 24-28.
Wang Danping, Chen Zhixu, Tu Mengfu, et al. Reserve capacity calculation considering large-scale wind power integration[J]. Automation of Electric Power Systems, 2012, 36(21): 24-28.
[4] Wang Y, Xia Q, Kang C. Unit commitment with volatile node injections by using interval optimi- zation[J]. IEEE Transactions on Power Systems, 2011, 26(3): 1705-1713.
[5] 吴小珊, 张步涵, 袁小明, 等. 求解含风电场的电力系统机组组合问题的改进量子离散粒子群优化方法[J]. 中国电机工程学报, 2013, 33(4): 45-52.
Wu Xiaoshan, Zhang Buhan, Yuan Xiaoming, et al. Solutions to unit commitment problems in power systems with wind farms using advanced quantum- inspired binary PSO[J]. Proceedings of the CSEE, 2013, 33(4): 45-52.
[6] 艾欣, 刘晓, 孙翠英. 含风电场电力系统机组组合的模糊机会约束决策模型[J]. 电网技术, 2011, 35(12): 202-207.
Ai Xin, Liu Xiao, Sun Cuiying. A fuzzy chance constrained decision model for unit commitment of power grid containing large-scale wind farm[J]. Power System Technology, 2011, 35(12): 202-207.
[7] 高红均, 刘俊勇, 魏震波, 等. 基于极限场景集的风电机组安全调度决策模型[J]. 电网技术, 2013, 37(6): 1590-1595.
Gao Hongjun, Liu Junyong, Wei Zhenbo, et al. A security-constrained dispatching model for wind generation units based on extreme scenario set optimization[J]. Power System Technology, 2013, 37(6): 1590-1595.
[8] 熊虎, 向铁元, 陈红坤, 等. 含大规模间歇式电源的模糊机会约束机组组合研究[J]. 中国电机工程学报, 2013, 33(13): 36-44.
Xiong Hu, Xiang Tieyuan, Chen Hongkun, et al. Research of fuzzy chance constrained unit containing large-scale intermittent power[J]. Proceedings of the CSEE, 2013, 33(13): 36-44.
[9] 张步涵, 邵剑, 吴小珊, 等. 基于场景树和机会约束规划的含风电场电力系统机组组合[J]. 电力系统保护与控制, 2013, 41(1): 127-135.
Zhang Buhan, Shao Jian, Wu Xiaoshan, et al. Unit commitment with wind farms using scenario tree and chance-constrained programming[J]. Power System Protection and Control, 2013, 41(1): 127-135.
[10] 张娜, 吕泉, 张显, 等含风电系统的多级机组组合协调制定策略[J]. 电力系统自动化, 2013, 37(11): 39-45, 98.
Zhang Na, Lü Quan, Zhang Xian, et al. A multi-level unit commitment coordinated strategy for power system with wind power[J]. Automation of Electric Power Systems, 2013, 37(11): 39-45, 98.
[11] 张伯明, 吴文传, 郑太一, 等. 消纳大规模风电的多时间尺度协调的有功调度系统设计[J]. 电力系统自动化, 2011, 35(1): 1-6.
Zhang Boming, Wu Wenchuan, Zheng Taiyi, et al. Design of a multi-time scale coordinated active power dispatching system for accommodating large scale wind power penetration[J]. Automation of Electric Power Systems, 2011, 35(1): 1-6.
[12] 刘晓, 艾欣, 彭谦. 计及需求响应的含风电场电力系统发电与碳排放权联合优化调度[J]. 电网技术, 2012, 36(1): 213-218.
Liu Xiao, Ai Xin, Peng Qian. Optimal dispatch coor- dinating power generation with carbon emission permit for wind farms integrated power grid considering demand response[J]. Power System Technology, 2012, 36(1): 213-218.
[13] 王蓓蓓, 刘小聪, 李扬. 面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究[J]. 中国电机工程学报, 2013, 33(22): 35-44.
Wang Beibei, Liu Xiaocong, Li Yang. Day-ahead generation scheduling and operation simulation considering demand response in large-capacity wind power integrated systems[J]. Proceedings of the CSEE, 2013, 33(22): 35-44.
[14] 王卿然, 谢国辉, 张粒子. 含风电系统的发用电一体化调度模型[J]. 电力系统自动化, 2011, 35(5): 15-18, 30.
Wang Qingran, Xie Guohui, Zhang Lizi. An integrated generation-consumption dispatch model with wind power[J]. Automation of Electric Power Systems, 2011, 35(5): 15-18, 30.
[15] 夏叶, 康重庆, 宁波, 等. 用户侧互动模式下发用电一体化调度计划[J]. 电力系统自动化, 2012, 36(1): 17-23.
Xia Ye, Kang Chongqing, Ning Bo, et al. A generation and integrated scheduling on interaction mode on customer side[J]. Automation of Electric Power Systems, 2012, 36(1): 17-23.
[16] Doquet M. Use of a stochastic process to sample wind power curves in planning studies[C]//IEEE Proceedings of Power Tech Conference, Lausanne, Switzerland, 2007: 663-670.
[17] Carri N M, Arroyo J M. A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem[J]. IEEE Transactions on Power Systems, 2006, 21(3): 1371-1378.
[18] Arroyo J M, Conejo A J. Optimal response of a thermal unit to an electricity spot market[J]. IEEE Transacions on Power Systems, 2000, 15(3): 1098- 1104.