| 引用本文: | 刘青,徐宏璐.提高STATCOM/BESS风电系统频率与电压支撑的智能联调优化控制方法[J].电力自动化设备,2020,40(7): |
| LIU Qing,XU Honglu.Intelligent joint optimization control method for improving frequency and voltage support of STATCOM/BESS wind power system[J].Electric Power Automation Equipment,2020,40(7): |
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| 摘要: |
| 针对风电并网系统运行中负荷突变引起的频率波动和并网点电压的骤升/骤降问题，提出一种基于储能型静止同步补偿器(STATCOM/BESS)的频率与电压智能联调优化控制方法，该方法在具体实施过程中分为实时监测层、动态决策层和执行控制层3层，各层之间紧密联系，形成可靠闭环。首先，在实时监测层，基于风速分区与模糊控制判断风机的调频能力、系统有功需求及无功需求；其次，在动态决策层，综合考虑惯性常数和并网点电压，结合风机无功可调范围，动态优化有功、无功分配策略；最后，在执行控制层，风电机组与STATCOM/BESS对功率指令进行控制执行，STATCOM/BESS强化虚拟惯性时，考虑蓄电池(BESS)荷电状态，基于反馈动态调整其工作模式，控制结束后将相关参数及时反馈。仿真结果表明，基于STATCOM/BESS的风电系统智能联调优化控制可有效改善频率与电压的动态响应，提高频率与电压支撑能力。 |
| 关键词: 风电 STATCOM/BESS 智能联调控制 调频能力 模糊逻辑 频率支撑 电压支撑 |
| DOI：10.16081/j.epae.202007002 |
| 分类号:TM761;TM614 |
| 基金项目:国家自然科学基金资助项目(51507065) |
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| Intelligent joint optimization control method for improving frequency and voltage support of STATCOM/BESS wind power system |
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LIU Qing, XU Honglu
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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| To solve the frequency fluctuation and PCC(Point of Common Coupling) voltage rising or dropping caused by the sudden change of load in wind power system, an intelligent joint optimization control method based on STATCOM/BESS(STATic synchronous COMpensator based on Battery Energy Storage System) is proposed. The method is divided into three layers in the implementation process, including real-time monito-ring layer, dynamic decision-making layer and execution control layer. The three layers are closely connected to form a reliable closed loop. Firstly, in the real-time monitoring layer, the wind speed division and fuzzy control are used to judge the frequency modulation capability, active and reactive power demands. Secondly, in the dynamic decision-making layer, the inertia constant and PCC voltage are comprehensively considered to dynamically optimize active and reactive power allocation strategies by combining with the reactive power adjustable range of wind turbine. Finally, in the execution control layer, the wind turbine and STATCOM/BESS execute the power commands. When STATCOM/BESS strengthens the virtual inertia, the SOC(State Of Charge) of BESS is considered, its working mode is dynamically adjusted based on SOC feedback, and the relevant parameters are fed back in time. Simulative results show that the proposed method can effec-tively improve the dynamic response of frequency and voltage, and improve the frequency and voltage support. |
| Key words: wind power STATCOM/BESS intelligent joint control frequency modulation capability fuzzy logic frequency support voltage support |
