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作 者:张建委 蔺红[1] ZHANG Jianwei;LIN Hong(School of Electrical Engineering,Xinjiang University,Urumqi 830047,Xinjiang,China)
机构地区:[1]新疆大学电气工程学院,新疆乌鲁木齐830047
出 处:《水力发电》2020年第9期115-119,共5页Water Power
基 金:新疆维吾尔自治区自然科学基金资助项目(2017D01-C029)。
摘 要:双馈风电场的拓扑结构对风电场电压的调控有较大影响,因此提出计及风电机组无功调整时机组机端电压偏差的无功优化方法,首先分析风电场内馈线电压、无功分布对机组机端电压的影响,建立以风电场并网点电压和机端电压偏差最小为目标的无功优化模型,然后利用网络分析法-智能粒子群法对所建模型求解。最后,以新疆某实际风电场为例进行仿真验证仿真。结果表明,该控制方法可增强风电并网点电压的稳定性,降低风电场内机组机端电压的偏差,提高风电并网的可靠性。The topology of the doubly-fed wind farm has a great influence on the regulation of wind farm voltage.A method of reactive power optimization that takes into account the voltage deviation at the generator end of the wind turbine during reactive power adjustment is proposed.Firstly,the influences of feeder voltage and reactive power distribution on the generator terminal voltage in wind farm are analyzed and a reactive power optimization model is established with the goal of minimizing the deviation of the grid-connected point voltage and the generator terminal voltage in wind farm,and then the intelligent particle swarm method is used to solve the model.An actual wind farm in Xinjiang is taken as an example for simulation verification.The results show that the control method can enhance the stability of grid-connected voltage of wind power,reduce the deviation of generator-side voltage in wind farm and improve the reliability of grid-connected wind power.
关 键 词:风电场 电压协调控制 并网点电压 机端电压 粒子群算法
分 类 号:TM614[电气工程—电力系统及自动化] TM761
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