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海岛微网风-浪-储联合调频模型预测控制方法OA

Model Predictive Control for a Wind-wave-ES System in Island Microgrid Frequency Regulation

中文摘要英文摘要

为解决海岛微网系统单一电源频率支撑能力有限、难以应对海岛复杂运行环境的难题,提出一种风-浪-储协同调频的模型预测控制方法.首先,利用三者在响应时间与响应功率上的互补性,通过控制液压马达开度和储能下垂系数,实现风浪发电和储能主动协同响应频率波动,从而优化系统动态稳定性能;其次,建立系统频率-马达开度-储能下垂系数的状态空间方程,设计考虑频率波动和风浪储功率分配的代价函数和自适应权重函数,提出考虑系统多重控制目标的微网频率主动预测控制策略,实现风-浪-储功率的快速响应和均衡分配;最后,建立典型风-浪-储海岛微网RT-LAB半实物仿真模型.结果表明,所提方法实现了风浪储自适应协同调频,有效挖掘了多能源响应速度和支撑深度的互补性,提升了极端工况下海岛微网的稳定性能和生存能力.

To address the limitation of frequency support capability of single energy sources in complex operating environments,a model predictive control strategy considering coordinated wind-wave-energy storage(WWE)in frequency regulation is proposed.The strategy leverages the complementarity of WWE by controlling the hydraulic motor openings and the droop coefficient to achieve the coordinated active response,which optimizes the system dynamic frequency performance.A frequency-motor opening-droop coefficient state space model is firstly established,and a cost function and an adaptive weight function considering frequency fluctuations and power allocation are designed.Additionally,a microgrid frequency predictive control strategy considering multiple control objectives is proposed for rapid response and balanced power allocation.Finally,a typical WWE island microgrid system on the RT-LAB experimental platform is established.Results show that the scheme achieves adaptive coordinated frequency regulation of WWE through its complementary response and support capacities,improving the stability and resilience of island microgrids under extreme conditions.

徐威武;黄文焘;王杰;张宇阳;邰能灵

上海交通大学国家电投智慧能源创新学院,上海市 杨浦区 200240电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 杨浦区 200240上海交通大学国家电投智慧能源创新学院,上海市 杨浦区 200240中国电能成套设备有限公司,北京市 西城区 100080电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 杨浦区 200240

信息技术与安全科学

协同调频风-浪-储海岛微网马达开度模型预测控制自适应权重

cooperative frequency regulationwind-wave-ES island microgridmotor openingmodel predictive controladaptive weight

《中国电机工程学报》 2026 (3)

901-912,中插4,13

国家自然科学基金项目(52337006,U2243243).Project Supported by National Natural Science Foundation of China(52337006,U2243243).

10.13334/j.0258-8013.pcsee.241853

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