| 引用本文: | 杨健维,董鸿志,廖凯,蔡亮成.计及电动汽车辅助调频的负荷频率控制联合优化[J].电力自动化设备,2019,39(3): |
| YANG Jianwei,DONG Hongzhi,LIAO Kai,CAI Liangcheng.Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles[J].Electric Power Automation Equipment,2019,39(3): |
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| 摘要: |
| 当电动汽车利用车网互动(V2G)技术参与电网一次调频时，其下垂控制特性会影响原负荷频率控制的调频性能。基于此，提出了一种计及电动汽车辅助调频的负荷频率控制联合优化方法。建立了含电动汽车的多区域多机组系统的负荷频率控制模型；在此基础上，针对电动汽车电池特性及二次调频出力的有效工作范围，考虑系统内机组的特性等，以时间乘以误差绝对值积分(ITAE)为目标函数，建立了电动汽车辅助调频与传统机组二次调频的联合优化模型，并利用粒子群优化算法进行求解。在MATLAB/Simulink中针对阶跃负荷扰动及长时间随机负荷扰动的情况，对联合优化前、后系统的动态响应进行了对比分析。仿真结果表明：所提联合优化方法能有效地改善负荷频率控制的稳态响应速度、优化系统的调频性能，并且能够保证用户对电动汽车的用电需求。 |
| 关键词: 电动汽车 V2G 负荷频率控制 辅助调频 下垂控制 联合优化 |
| DOI：10.16081/j.issn.1006-6047.2019.03.032 |
| 分类号:TM761;U469.72 |
| 基金项目:国家自然科学基金资助项目(U1766208,61603311)；中央高校基本科研业务费专项资金资助项目(2018GF04)；中央高校创新基金资助项目(2682017CX042) |
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| Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles |
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YANG Jianwei, DONG Hongzhi, LIAO Kai, CAI Liangcheng
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School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
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| Abstract: |
| The droop control characteristics of EVs(Electric Vehicles) will impact the frequency regulation performance of the original load frequency control in the power system when EVs participate in the primary frequency regulation by V2G(Vehicle-to-Grid) technology. So, a joint optimization method of load frequency control considering the auxiliary frequency regulation of EVs is proposed. A load frequency control model of multi-area multi-generator system with EVs is established. On this basis, in view of the battery characteristics and the effective working range of secondary frequency regulation output of EVs, and considering the characteristics of generators in the system, the joint optimization model between the auxiliary frequency regulation of EVs and the secondary frequency regulation of traditional generators is set up with the ITAE(Integral Time Absolute Error) as the objective, and the model is solved by particle swarm optimization algorithm. The dynamic responses of the system with step load disturbance and long-term random load disturbance before and after the joint optimization are simulated, analyzed and compared in MATLAB/Simulink. Simulative results show that the proposed joint optimization method can effectively improve the steady state response speed of load frequency control system, optimize the frequency regulation performance of system and ensure the electricity demands of EV users. |
| Key words: electric vehicles V2G load frequency control auxiliary frequency regulation droop control joint optimization |
