马 明 ,杜婉琳 ,陶 然 ,王 敏 ,廖 凯
AuthorsHTML:马 明 ^{1, 2}，杜婉琳 ^{1, 2}，陶 然 ^{1, 2}，王 敏 ³ ，廖 凯 ³
AuthorsListE:Ma Ming,Du Wanlin ,Tao Ran,Wang Min ,Liao Kai
AuthorsHTMLE:Ma Ming^{1, 2}，Du Wanlin ^{1, 2}，Tao Ran ^{1, 2}，Wang Min ³，Liao Kai ³
Unit:1. 广东电网有限责任公司电力科学研究院，广州 510045；
2. 广东电网有限责任公司电能质量重点实验室，广州 510045；
3. 西南交通大学电气工程学院，成都 611756

Unit_EngLish:1. Electric Power Research Institute，Guangdong Power Grid Co.，Ltd.，Guangzhou 510045，China；
2. Key Laboratory of Power Quality，Guangdong Power Grid Co.，Ltd.，Guangzhou 510045，China；
3. School of Electrical Engineering，Southwest Jiaotong University，Chengdu 611756，China

Abstract_Chinese:随着新能源发电技术的不断发展，风力发电技术受到全球的广泛关注．而风电场在运行时，场内有功输出 的不确定性以及无功调节装置间响应时间的差异导致系统电压控制困难的问题还尚未得到有效解决．因此，制定一 种基于鲁棒优化的风电场分层电压优化控制策略以提高电压控制效果用以解决此类问题．首先，为了应对风电功率 不确定性，利用日前风电功率预测数据在日前优化阶段建立鲁棒优化模型，该阶段在“最恶劣”的场景下，通过对 离散无功补偿装置和风机的无功出力进行协同优化，得到离散无功补偿装置的次日投切计划．其次，利用超短期风 电功率预测数据以及全局信息，在日内优化阶段建立风机无功出力优化分配模型，对风机的无功出力进行优化分 配，并根据优化结果，对其他动态无功补偿设备的无功出力进行设置，分配结果传送至各设备控制器下进行相应的 控制．最后，通过在 MATLAB/Simulink 平台下建立双馈式风电场模型用以验证所提策略的有效性与优势．仿真结 果表明，与确定性控制策略相比，所提策略能够降低因不确定因素导致电压违规的概率，降低比例为 52.2%；与传 统的平均分配控制策略相比，可以提高风机无功分配的合理性，并降低 68.8 kW 功率损耗．所提策略可用于随机性 较强情况下风电场内的电压控制．
Abstract_English:With the development of renewable energy generation and grid-connected technology，wind power genera\u0002tion technology has attracted worldwide attention．However，the uncertainty of the active power output and differ\u0002ence in the response time between voltage regulators lead to a difficult system voltage control，which has not been reasonably solved．To solve these problems，this study proposes a hierarchical voltage optimization control strategy based on robust optimization．First，to solve the uncertainty of wind power，a robust optimization model is estab\u0002lished in the day-ahead optimization stage using the day-ahead wind power prediction data．In the worst scenario，the stage optimizes the reactive power output of the discrete reactive power compensation devices and wind tur\u0002bines(WTs)and obtains the next-day switching plan of the discrete devices．Second，using global information and ultrashort-term prediction data，the optimal distribution model is established in the intraday optimization stage to op\u0002timize the distribution of WTs reactive power output．According to optimization results，the reactive power outputs of other dynamic reactive power compensation devices are set and transmitted to each device controller for correspondingcontrol．Finally，a model of a doubly-fed wind farm is established on the MATLAB/Simulink platform to verify the effectiveness and advantages of the proposed strategy．Simulation results show that compared with the deterministic control strategy，the proposed strategy can reduce the probability of voltage violation caused by uncertain factors by 52.2%. Compared with the traditional average distribution control strategy，the proposed strategy can improve the ra\u0002tionality of reactive power distribution and reduce the power loss by 68.8 kW．The proposed strategy can be used for voltage control in wind farms with high randomness．
Keyword_Chinese:新能源发电；风电场；电压控制；鲁棒优化；分层控制
Keywords_English:renewable energy generation；wind farm；voltage control；robust optimization；hierarchical control

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