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首页> 外文期刊>International journal of green energy >Improving the dynamic response of frequency and power in a wind integrated power system by optimal design of compensated superconducting magnetic energy storage
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Improving the dynamic response of frequency and power in a wind integrated power system by optimal design of compensated superconducting magnetic energy storage

机译：通过补偿超导磁储能器的优化设计，改善风力发电系统中频率和功率的动态响应

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The frequency deviation and power fluctuation need to be controlled in a wind-integrated power system (WIPS) for keeping the balance between system power generation and demand, which support the quality and stability of overall power system. The present paper addresses this problem while concerning the integration of intermittent wind power and load disturbance into the WIPS. With this intent, it proposes the compensated superconducting magnetic energy storage (CSMES) system with proportional integral derivative (PID) controller for improving the frequency and power deviation profile. A novel swarm intelligence-based artificial bee colony (ABC) algorithm is used for optimal design of PID-CSMES system. Robustness of the proposed ABC-based PID-CSMES control strategy is tested in WIPS under various disturbance patterns of load and wind power. To demonstrate the improved dynamic response, their simulation results are compared with particle swarm optimization-based PID-CSMES, PID with SMES, and only PID controller technique. The performance indices and transient response characteristics of frequency and power deviation are used to evaluate and compare the accuracy and efficiency of each controller. Stability of various system configurations is analyzed using eigenvalue location. Comparing the results of different controller in WIPS indicates a substantial improvement in the dynamic response of system frequency and power deviations by utilizing the proposed control strategy.
机译：风力发电系统（WIPS）需要控制频率偏差和功率波动，以保持系统发电量和需求量之间的平衡，从而支持整个电力系统的质量和稳定性。本文在将间歇性风力和负荷扰动整合到WIPS中的同时解决了这个问题。为此，提出了一种具有比例积分微分（PID）控制器的补偿超导磁储能（CSMES）系统，以改善频率和功率偏差曲线。一种新颖的基于群体智能的人工蜂群算法（ABC）被用于PID-CSMES系统的优化设计。在负载和风力的各种干扰模式下，在WIPS中测试了所提出的基于ABC的PID-CSMES控制策略的鲁棒性。为了演示改善的动态响应，将其仿真结果与基于粒子群优化的PID-CSMES，具有SMES的PID和仅采用PID控制器技术进行了比较。频率和功率偏差的性能指标和瞬态响应特性用于评估和比较每个控制器的精度和效率。使用特征值位置分析各种系统配置的稳定性。在WIPS中比较不同控制器的结果表明，通过利用提出的控制策略，系统频率和功率偏差的动态响应有了显着改善。

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