计及风电备用容量与需求响应的多备用资源鲁棒优化

陈哲; 王橹裕; 郭创新; 马光; 张金江

doi:10.7500/AEPS20190813001

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计及风电备用容量与需求响应的多备用资源鲁棒优化

学术研究 | 更新时间：2025-06-16

- 计及风电备用容量与需求响应的多备用资源鲁棒优化
- Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response
- 电力系统自动化-方正平台 2020年44卷第10期页码：50-58
- 作者机构：
  
  1.浙江大学电气工程学院,浙江省杭州市 310027
  2.浙江科技学院自动化与电气工程学院,浙江省杭州市 310023
- 作者简介：
  
  陈哲(1994—)，男，通信作者，博士研究生，主要研究方向：可再生能源并网、电力系统优化运行与风险调度。E-mail:chenzhe331@zju.edu.cn
  王橹裕(1991—)，男，博士研究生，主要研究方向：电力系统优化运行与风险调度。E-mail:wang_luyu@zju.edu.cn
  郭创新(1969—)，男，教授，博士生导师，主要研究方向:电力系统风险评估与风险调度、智能信息处理技术及其在电力系统中的应用。E-mail:guochuangxin@zju.edu.cn
- 基金信息：
  
  国家重点研发计划资助项目(2017YFB0902600);浙江省自然科学基金资助项目(LZ14E070001);国家电网公司科技项目(52110418000T)
- DOI：10.7500/AEPS20190813001
  中图分类号：
- 收稿日期：2019-08-31，
  
  修回日期：2019-10-09，
  
  网络出版日期：2020-03-04，
  
  纸质出版日期：2020-05-25
- 稿件说明：
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陈哲,王橹裕,郭创新等.计及风电备用容量与需求响应的多备用资源鲁棒优化[J].电力系统自动化,2020,44(10):50-58.

CHEN Zhe,WANG Luyu,GUO Chuangxin,et al.Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response[J].Automation of Electric Power Systems,2020,44(10):50-58.
陈哲,王橹裕,郭创新等.计及风电备用容量与需求响应的多备用资源鲁棒优化[J].电力系统自动化,2020,44(10):50-58. DOI： 10.7500/AEPS20190813001.

CHEN Zhe,WANG Luyu,GUO Chuangxin,et al.Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response[J].Automation of Electric Power Systems,2020,44(10):50-58. DOI： 10.7500/AEPS20190813001.

摘要

为缓解多重不确定性因素造成的系统运行与备用压力，提出了一种计及风电备用容量与需求侧响应的日前-日内两阶段多备用资源鲁棒优化模型。一方面，为充分发挥风电场与需求侧的备用容量，提高系统运行与备用的灵活性，分别对风电场备用与需求侧备用进行建模；另一方面，基于鲁棒优化模型对系统多种备用资源进行优化，保障电网在最恶劣运行工况下的安全可靠运行，提升了系统的鲁棒性。采用列和约束生成算法对两阶段鲁棒优化问题进行了求解。修改的IEEE RTS-79测试系统算例验证了所提模型与算法的有效性。结果表明，协同优化多种备用资源可以提升电力系统的运行灵活性，促进风电的消纳；同时，通过调节鲁棒模型中不确定性限值的大小，可以实现系统运行鲁棒性与经济性的平衡。

Abstract

To alleviate the system operation and reserve scheduling pressures caused by multiple levels of uncertainty

a two-stage robust optimization model of multiple reserve resources is proposed

which considers the reserve capacity of wind power and demand response. On one hand

to make full use of the wind farm and demand reserve capacity and improve the flexibility of system operation

the reserve capacity provided by wind farm and demand side is modeled， respectively. On the other hand

based on the robust optimization model

multiple reserve resources are co-optimized to ensure the safe and reliable operation of power grid in the worst operation conditions

thus improving the robustness of power system. The two-stage robust optimization problem is solved by the column and constraint generation (C&CG) algorithm. Simulation results on the modified IEEE RTS-79 test system verify the effectiveness of the proposed model and algorithm. The results show that the co-optimization of multiple reserve resources can improve the operation flexibility of power system and promote wind power consumption. At the same time

by adjusting the uncertainty set of the robust model

the balance between the robustness and economic efficiency of the system can be achieved.

关键词

Keywords

references

ZHANG Y , WANG J X , ZENG B , et al . Chance-constrained two-stage unit commitment under uncertain load and wind power output using bilinear benders decomposition [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 5 ): 3637 - 3647 .

许洪强 , 姚建国 , 南贵林 , 等 . 未来电网调度控制系统应用功能的新特征 [J]. 电力系统自动化 , 2018 , 42 ( 1 ): 1 - 7 .

XU Hongqiang , YAO Jianguo , NAN Guilin , et al . New features of application function for future dispatching and control systems [J]. Automation of Electric Power Systems , 2018 , 42 ( 1 ): 1 - 7 .

许洪强 , 姚建国 , 於益军 , 等 . 支撑一体化大电网的调度控制系统架构及关键技术 [J]. 电力系统自动化 , 2018 , 42 ( 6 ): 1 - 8 .

XU Hongqiang , YAO Jianguo , YU Yijun , et al . Architecture and key technologies of dispatch and control system supporting integrated bulk power grids [J]. Automation of Electric Power Systems , 2018 , 42 ( 6 ): 1 - 8 .

郭建成 , 南贵林 , 许丹 , 等 . 大电网全局监控内涵与关键技术 [J]. 电力系统自动化 , 2018 , 42 ( 18 ): 1 - 7 .

GUO Jiancheng , NAN Guilin , XU Dan , et al . Connotation and key technology of global monitoring for large power grid [J]. Automation of Electric Power Systems , 2018 , 42 ( 18 ): 1 - 7 .

ZHENG Q P , WANG J H , LIU A L . Stochastic optimization for unit commitment—a review [J]. IEEE Transactions on Power Systems , 2015 , 30 ( 4 ): 1913 - 1924 .

WANG C , LIU F , WANG J H , et al . Robust risk-constrained unit commitment with large-scale wind generation: an adjustable uncertainty set approach [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 1 ): 723 - 733 .

陈哲 , 张伊宁 , 黄刚 , 等 . 计及线路随机故障的机会约束最优风电消纳模型 [J]. 电网技术 , 2019 , 43 ( 2 ): 364 - 370 .

CHEN Zhe , ZHANG Yining , HUANG Gang , et al . Chance-constrained optimal wind power accommodation point considering transmission line contingencies [J]. Power System Technology , 2019 , 43 ( 2 ): 364 - 370 .

COBOS N G , ARROYO J M , ALGUACIL N , et al . Robust energy and reserve scheduling under wind uncertainty considering fast-acting generators [J]. IEEE Transactions on Sustainable Energy , 2019 , 10 ( 4 ): 2142 - 2151 .

WANG C X , LU Z X , QIAO Y . A consideration of the wind power benefits in day-ahead scheduling of wind-coal intensive power systems [J]. IEEE Transactions on Power Systems , 2013 , 28 ( 1 ): 236 - 245 .

仉梦林 , 胡志坚 , 王小飞 , 等 . 基于动态场景集和需求响应的二阶段随机规划调度模型 [J]. 电力系统自动化 , 2017 , 41 ( 11 ): 68 - 76 .

ZHANG Menglin , HU Zhijian , WANG Xiaofei , et al . Two-stage stochastic programming scheduling model based on dynamic scenario sets and demand response [J]. Automation of Electric Power Systems , 2017 , 41 ( 11 ): 68 - 76 .

SAHIN C , SHAHIDEHPOUR M , ERKMEN I . Allocation of hourly reserve versus demand response for security-constrained scheduling of stochastic wind energy [J]. IEEE Transactions on Sustainable Energy , 2013 , 4 ( 1 ): 219 - 228 .

张晓辉 , 江静 , 李茂林 , 等 . 考虑柔性负荷响应的含风电场电力系统多目标经济调度 [J]. 电力系统自动化 , 2017 , 41 ( 11 ): 61 - 67 .

ZHANG Xiaohui , JIANG Jing , LI Maolin , et al . Multi-objective economic dispatch of power system with wind farms considering flexible load response [J]. Automation of Electric Power Systems , 2017 , 41 ( 11 ): 61 - 67 .

杨正清 , 汪震 , 展肖娜 , 等 . 考虑风电有功主动控制的两阶段系统备用双层优化模型 [J]. 电力系统自动化 , 2016 , 40 ( 10 ): 31 - 37 .

YANG Zhengqing , WANG Zhen , ZHAN Xiaona , et al . Bi-level optimization model of two-stage reserve scheduling with proactive wind power control [J]. Automation of Electric Power Systems , 2016 , 40 ( 10 ): 31 - 37 .

林峰 , 汪震 , 王冠中 , 等 . 考虑风电降载的电力系统鲁棒备用调度模型 [J]. 电力系统自动化 , 2018 , 42 ( 19 ): 64 - 70 .

LIN Feng , WANG Zhen , WANG Guanzhong , et al . Robust reserve scheduling model of electric power system considering WTG de-loading capability [J]. Automation of Electric Power Systems , 2018 , 42 ( 19 ): 64 - 70 .

LIN Y , DING Y , SONG Y H , et al . A multi-state model for exploiting the reserve capability of wind power [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 3 ): 3358 - 3372 .

HEDAYATI-MEHDIABADI M , ZHANG J S , HEDMAN K W . Wind power dispatch margin for flexible energy and reserve scheduling with increased wind generation [J]. IEEE Transactions on Sustainable Energy , 2015 , 6 ( 4 ): 1543 - 1552 .

HEDAYATI-MEHDIABADI M , HEDMAN K W , ZHANG J S . Reserve policy optimization for scheduling wind energy and reserve [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 1 ): 19 - 31 .

HEDAYATI-MEHDIABADI M , BALASUBRAMANIAN P , HEDMAN K W , et al . Market implications of wind reserve margin [J]. IEEE Transactions on Power Systems , 2018 , 33 ( 5 ): 5161 - 5170 .

LI Z G , WU W C , SHAHIDEHPOUR M , et al . Adaptive robust tie-line scheduling considering wind power uncertainty for interconnected power systems [J]. IEEE Transactions on Power Systems , 2016 , 31 ( 4 ): 2701 - 2713 .

NAVID N , ROSENWALD G . Market solutions for managing ramp flexibility with high penetration of renewable resource [J]. IEEE Transactions on Sustainable Energy , 2012 , 3 ( 4 ): 784 - 790 .

CONEJO A J , CARRIÓN M , MORALES J M . Decision making under uncertainty in electricity markets [M]. Berlin , Germany: Springer , 2010 .

WANG Y F , LI Z Y , SHAHIDEHPOUR M , et al . Stochastic co-optimization of midterm and short-term maintenance outage scheduling considering covariates in power systems [J]. IEEE Transactions on Power Systems , 2016 , 31 ( 6 ): 4795 - 4805 .

张伯明 , 陈寿孙 , 严正 . 高等电力网络分析 [M]. 北京 : 清华大学出版社 , 2007 : 212 - 214 ．

ZHANG Boming , CHEN Shousun , YAN Zheng . High degree power grids analysis [M]. Beijing : Tsinghua University Press , 2007 : 212 - 214 .

ZENG B , ZHAO L . Solving two-stage robust optimization problems using a column-and-constraint generation method [J]. Operations Research Letters , 2013 , 41 ( 5 ): 457 - 461 .

DING T , BO R , GU W , et al . Big-M based MIQP method for economic dispatch with disjoint prohibited zones [J]. IEEE Transactions on Power Systems , 2014 , 29 ( 2 ): 976 - 977 .

SUBCOMMITTEE P . IEEE reliability test system [J]. IEEE Transactions on Power Apparatus and Systems , 1979 , 98 ( 6 ): 2047 - 2054 .

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