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《Journal of Xiamen University(Natural Science)》 2019-01
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Optimization based scheduling for wind power integrated system considering the delivery capability of the thermal power unit

GAO Yunlong;WANG Weixiao;School of Aerospace Engineering,Xiamen University;  
In order to scale up development and utilization of wind power and coping with large scale of high uncertainty of wind sources,we urgently need to explore and fully develop the complementary mechanism and theory method of wind-thermal power generation to deal with China's poor-oil,less-gas and rich-coal energy structure and arrangement.Through introducing chance constrained programming to cope with the randomness of wind power,we establishes uncertain model with probability constraints.Considering the generation schedule obtained with discrete-time model might be unrealizable in terms of energy and the upper and lower bounds of spinning reserve offered by a unit is unreachable,a new model for optimization based scheduling model with integral constraints is presented.Finally based on the idea of model transformation,the random dispatching model containing probability constraints is transformed into an equivalent deterministic model.Simulation experiments for the optimization based accurate scheduling for wind power integrated system is performed and simulation results are discussed.It is demonstrated the new model is reasonable and effective.
【Fund】: 国家自然科学基金(61203176);; 福建省自然科学基金(2013J05098 2016J01756);; 厦门大学大学生创新创业训练计划(2016Y0452)
【CateGory Index】: TM73;TM61
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【Citations】
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【Co-citations】
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1 QUAN Rui;PAN Wenxia;College of Energy and Electrical Engineering,Hohai University;Research Center for Renewable Energy Generation Engineering of Ministry of Education,Hohai University;;Optimization of Wind Farm Spinning Reserve Capacity Considering Rotor Inertia Kinetic Energy[J];电力系统自动化;2015-24
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9 HE Chengming1,WANG Hongtao1,SUN Huadong2,CHEN Dezhi2(1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University,Jinan 250061,China; 2.China Electric Power Research Institute,Beijing 100192,China);Analysis on Frequency Control Characteristics of Variable Speed Wind Turbines and Coordinated Frequency Control Strategy of Wind Farm[J];电力系统自动化;2013-09
10 LI Fengting,LI Zhicai(College of Electrical Engineering,Xinjiang University,Urumqi 830047,Xinjiang Uygur Autonomous Region,China);Analysis on Impacts of Asynchronous Wind Farm on Fault Current Characteristics and Protective Relaying of Distribution Network[J];电网技术;2013-04
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