杨国清;付菁;王德意;贾嵘;李润秋;

• 1:西北旱区生态水利工程国家重点实验室(西安理工大学)
• 2:国网陕西省电力公司经济技术研究院

摘要(Abstract)：

伴随电力市场开放程度与日俱增,发电企业在调度出力中将拥有更大的决策权。因此,立足于兼顾电网与多种类型发电厂利益构建的调度模型显得极为必要。将电网作为博弈主体,在保证电力供求平衡的基础上,以其购电成本与环境成本最小化为优化目标;将风、水、天然气电厂作为3个参与电力市场博弈的独立从体,在综合考虑各类电厂出力特性的基础上,以3个参与者的收益最大化作为优化目标;将电厂出力策略以及电网优化的上网电价作为决策空间,构建了基于一主三从博弈理论的区域电力系统调度模型,并提出了基于NSGA-II求解该模型Stackelberg-Nash均衡解的算法。算例仿真表明,所建立的一主三从博弈区域电力系统调度模型能够适应不同季节下的区域系统调度,并显著提高了调度控制中各电厂间利益分配的均衡度与稳定程度。

关键词(KeyWords)： 风-水-气;区域电力系统;一主多从博弈;Stackelberg-Nash均衡;均衡度

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51279161)~~

作者(Author): 杨国清;付菁;王德意;贾嵘;李润秋;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.1525

参考文献(References)：

• [1]梅生伟,王莹莹.输电网-配电网-微电网三级电网规划的若干基础问题[J].电力科学与技术学报,2009,24(4):3-11.Mei Shengwei,Wang Yingying.Several basic problems of three-level power network planning of transmission network distribution network-microgrid[J].Journal of Electric Power Science and Technology,2009,24(4):3-11(in Chinese).
• [2]姜文玲,王勃,汪宁渤,等.多时空尺度下大型风电基地出力特性研究[J].电网技术,2017,41(2):493-499.Jiang Wenling,Wang Bo,Wang Ningbo,et al.Research on power output characteristics of large-scale wind power base in multiple temporal and spatial scales[J].Power System Technology,2017,41(2):493-499(in Chinese).
• [3]翟俊义,任建文,周明,等.含风电电力系统的多时间尺度模糊机会约束动态经济调度模型[J].电网技术,2016,40(4):1094-1099.Zhai Junyi,Ren Jianwen,Zhou Ming,et al.Multi-time scale fuzzy chance constrained dynamic economic dispatch model for power system with wind power[J].Power System Technology,2016,40(4):1094-1099(in Chinese).
• [4]张海峰,高峰,吴江,等.含风电的电力系统动态经济调度模型[J].电网技术,2013,37(5):1298-1303.Zhang Haifeng,Gao Feng,Wu Jiang,et al.A dynamic economic dispatching model for power grid containing wind power generation system[J].Power System Technology,2013,37(5):1298-1303(in Chinese).
• [5]Zhang Z S,Sun Y Z,Gao D W,et al.A versatile probability distribution model for wind power forecast errors and its application in economic dispatch[J].IEEE Transactions on Power Systems,2013,28(3):3114-3125.
• [6]Wang Q,Guan Y,Wang J.A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output[J].IEEE Transactions on Power Systems,2012,27(1):206-215.
• [7]Wu H,Shahidehpour M,Li Z,et al.Chance-constrained day-ahead scheduling in stochastic power system operation[J].IEEE Transactions on Power Systems,2014,29(4):1583-1591.
• [8]徐帆,王颖,杨建平,等.考虑电网安全的风电火电协调优化调度模型及其求解[J].电力系统自动化,2014,38(21):114-120.Xu Fan,Wang Ying,Yang Jianping,et al.Generation scheduling model and application for wing-thermal power system considering security constraints[J].Automation of Electric Power Systems,2014,38(21):114-120(in Chinese).
• [9]曾雪婷,刘天琪,李茜,等.基于动态调峰裕度的风电并网协调优化调度[J].电网技术,2015,39(6):1685-1690.Zeng Xueting,Liu Tianqi,Li Qian,et al.A dynamic peak load regulation margin based coordinated optimal dispatching under grid-connection of wind farm[J].Power System Technology,2015,39(6):1685-1690(in Chinese).
• [10]竺炜,蒋银华,刘长富,等.风功率波动下的电网在线安全和经济调度方法[J].电网技术,2016,40(11):3511-3516.Zhu Wei,Jiang Yinhua,Liu Changfu,et al.On-line dispatching method of security and economic under wind power fluctuations[J].Power System Technology,2016,40(11):3511-3516(in Chinese).
• [11]王洪涛,何成明,房光华,等.计及风电预测误差带的调度计划渐进优化模型[J].电力系统自动化,2011,35(22):131-135.Wang Hongtao,He Chengming,Fang Guanghua,et al.A gradual optimization model of dispatching schedule taking of wind power prediction error bands[J].Automation of Electric Power Systems,2011,35(22):131-135(in Chinese).
• [12]周玮,孙辉,顾宏,等.计及风险备用约束的含风电场电力系统动态经济调度[J].中国电机工程学报,2012,32(1):47-55.Zhou Wei,Sun Hui,Gu Hong,et al.Dynamic economic dispatch of wind integrated power systems based on risk reserve constraints[J].Proceedings of the CSEE,2012,32(1):47-55(in Chinese).
• [13]王旭,蒋传文,刘玉娇,等.含大规模风电场的电力系统旋转备用风险决策模型和方法[J].电力系统自动化,2014,38(13):64-70.Wang Xu,Jiang Chuanwen,Liu Yujiao,et al.Decision-making model and method for spinning reserve and risk of power systems integrated with large-scale farms[J].Automation of Electric Power Systems,2014,38(13):64-70(in Chinese).
• [14]吴杰康,熊焰.风水气互补发电优化的云模型自适应粒子群优化算法[J].中国电机工程学报,2014,34(20):17-24.Wu Jiekang,Xiong Yan.An cloud model theory based adaptive particle swarm optimization algorithm for complementary power generation optimization of wind-energy,hydro-energy and Natural Gas[J].Proceedings of the CSEE,2014,34(20):17-24(in Chinese).
• [15]吴杰康,熊焰.风、水、气互补发电模型的建立及求解[J].电网技术,2014,38(3):603-609.Wu Jiekang,Xiong Yan.Establishment and solution of the complementary power generation model of wind-energy,hydroenergy and natural gas[J].Power System Technology,2014,38(3):603-609(in Chinese).
• [16]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.Lu Qiang,Chen Laijun,Mei Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017(in Chinese).
• [17]梅生伟,王莹莹,刘锋.风-光-储混合电力系统的博弈论规划模型与分析[J].电力系统自动化,2011,35(20):13-19.Mei Shengwei,Wang Yingying,Liu Feng.A transmission network expansion planning based OPA model[J].Automation of Electric Power Systems,2011,35(20):13-19(in Chinese).
• [18]栗然,党磊,董哲,等.分时电价与风储联合调度协调优化的主从博弈模型[J].电网技术,2015,39(11):3247-3253.Li Ran,Dang Lei,Dong Zhe,et al.Coordinated optimization of time-of-use price and dispatching model combining wind power and energy storage under guidance of master-slave game[J].Power System Technology,2015,39(11):3247-3253(in Chinese).
• [19]张晓辉,闫柯柯,卢志刚,等.基于场景概率的含风电系统多目标低碳经济调度[J].电网技术,2014,38(7):1835-1841.Zhang Xiaohui,Yan Keke,Lu Zhigang,et al.Scenario probability based multi-objective optimized low-carbon economic dispatching for power grid integrated with wind farms[J].Power System Technology,2014,38(7):1835-1841(in Chinese).
• [20]梅生伟,魏韡.智能电网环境下主从博弈模型及应用实例[J].系统科学与数学,2014,34(11):1331-1344.Mei Shengwei,Wei Wei.Hierarchal game and its applications in the smart grid[J].Journal of Systems Science and Mathematical Sciences,2014,34(11):1331-1344(in Chinese).
• [21]梅生伟,刘锋,魏韡.工程博弈论基础及电力系统应用[M].北京:科学出版社,2016.
• [22]Nash J F.纳什博弈论论文集[M].张良桥,王晓刚,译.北京:首都经济贸易大学出版社,2015.
• [23]Weaver W W,Krein P T.Game-theoretic control of small-scale power systems[J].IEEE Transactions on Power Delivery,2009,24(3):1560-1567.