引用本文:高红均,刘俊勇,魏震波,刘友波,王 玮,李 霞.考虑风储一体的多场景两阶段调度决策模型[J].电力自动化设备,2014,34(1):
GAO Hongjun,LIU Junyong,WEI Zhenbo,LIU Youbo,WANG Wei,LI Xia.Multi-scenario two-stage dispatch decision-making model for wind farm with integrated energy storage[J].Electric Power Automation Equipment,2014,34(1):
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考虑风储一体的多场景两阶段调度决策模型
高红均1, 刘俊勇1, 魏震波1, 刘友波1, 王 玮2, 李 霞1
1.四川大学 电气信息学院,四川 成都 610065;2.甘肃省电力公司,甘肃 兰州 730050
摘要:
考虑风电的波动性和随机性,将风电功率的不确定性引入含风电调度模型中,建立基于场景集的日前机组组合和日内经济调度滚动修正两阶段决策模型。应用场景集描述风电功率的不确定性,建立基于场景集的机组组合模型,同时考虑合理弃风和切负荷有利于系统的稳定经济运行,在日内修正模型中引入弃风量以及切负荷量作为松弛变量,提高了模型的收敛性。两阶段模型均包含了储能系统来平抑风电功率的波动。算例结果表明:该模型有效抑制了风电的不确定性影响,提高了调度决策的鲁棒性。
关键词:  场景集  风电  不确定性分析  预测误差  经济调度  储能  决策  模型
DOI:
分类号:
基金项目:国家自然科学基金资助项目(51207098);国家电网公司科技项目
Multi-scenario two-stage dispatch decision-making model for wind farm with integrated energy storage
GAO Hongjun1, LIU Junyong1, WEI Zhenbo1, LIU Youbo1, WANG Wei2, LI Xia1
1.School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China;2.Gansu Provincial Electric Power Company,Lanzhou 730050,China
Abstract:
With the consideration of its fluctuation and randomness,the uncertainty of wind power is introduced to the dispatch model of power system with wind farm and a two-stage decision-making model including day-ahead unit commitment and intra-day rolling economic dispatch is developed. The unit commitment model applies the scenario set to describe the uncertainty of wind power and considers the wind curtailment and load shedding to improve the stable and economic system operation,while the intra-day rolling economic dispatch model applies the wind curtailment and load shedding as the slack variables to enhance its convergence. The two-stage model includes the energy storage system to suppress the fluctuation of wind power. Numerical results show that the proposed model suppresses effectively the influence of wind power uncertainty and improves the robustness of dispatch decision-making.
Key words:  scenario set  wind power  uncertainty analysis  forecast error  economic dispatch  energy storage  decision making  models

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