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含抽水蓄能机组的风电消纳鲁棒机组组合
引用本文:夏沛,邓长虹,龙志君,姚维为,张凯,王维洲. 含抽水蓄能机组的风电消纳鲁棒机组组合[J]. 电力系统自动化, 2018, 42(19): 41-49
作者姓名:夏沛  邓长虹  龙志君  姚维为  张凯  王维洲
作者单位:武汉大学电气工程学院;国网山西省电力公司太原供电公司;国网甘肃省电力公司调度控制中心
基金项目:国家重点研发计划资助项目(2017YFB0902200);国家电网公司科技项目(5227221600kw)
摘    要:针对风电在实际电网渗透率不断提高带来的风电消纳问题,提出了一种含抽水蓄能机组的鲁棒机组组合优化方法。所构建的鲁棒机组组合模型以系统运行成本和风电出力边界偏差惩罚成本最小为优化目标,约束条件计及了输电线路安全约束,并考虑了风电出力时间和空间不确定性预算的调节策略,避免鲁棒最优解过于保守。基于可调机组(包括自动发电控制机组和抽水蓄能机组)应对风电波动的仿射补偿机制,优化了风电出力的波动区间。所构建的模型最终转化为单层混合整数线性规划问题求解。经修改的IEEE 30节点系统的算例测试,定量评估了抽水蓄能机组对系统经济运行和风电消纳的影响,验证了所提方法的可行性和有效性。

关 键 词:抽水蓄能机组;风电消纳;鲁棒机组组合;不确定性预算
收稿时间:2017-12-17
修稿时间:2018-08-29

Robust Unit Commitment with Pumped Storage Units for Wind Power Accommodation
XIA Pei,DENG Changhong,LONG Zhijun,YAO Weiwei,ZHANG Kai and WANG Weizhou. Robust Unit Commitment with Pumped Storage Units for Wind Power Accommodation[J]. Automation of Electric Power Systems, 2018, 42(19): 41-49
Authors:XIA Pei  DENG Changhong  LONG Zhijun  YAO Weiwei  ZHANG Kai  WANG Weizhou
Affiliation:School of Electrical Engineering, Wuhan University, Wuhan 430072, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,School of Electrical Engineering, Wuhan University, Wuhan 430072, China,Taiyuan Power Supply Company of State Grid Shanxi Electric Power Company, Taiyuan 030012, China and Dispatching and Control Center of State Grid Gansu Electric Power Company, Lanzhou 730030, China
Abstract:In view of the accommodation problem of wind power with increasing penetration levels in actual power grids, this paper proposes a robust unit commitment optimization method considering pumped storage units. The proposed robust unit commitment model is aimed to minimize the system operation cost and the penalty cost of curtailment boundaries of wind power. Security constraints for transmission lines are taken into account, and the adjustment strategy of the temporal and spatial uncertainty budgets of wind power is also considered to avoid the over-conservative robust optimal solution. Moreover, the fluctuation interval of wind power is optimized according to the affine compensation mechanism of adjustable units(including automatic generation control(AGC)units and pumped storage units)responding to the fluctuation of wind power. The developed model is then transformed into a single-layer mixed integer linear programming(MILP)problem. Finally, the feasibility and validity of the proposed model are verified by the numerical tests on a modified IEEE 30-bus system, and the effect of the pumped storage unit on the economical operation of power system and the accommodation capacity of wind power are quantitatively evaluated.
Keywords:pumped storage unit   wind power accommodation   robust unit commitment   uncertainty budget
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