考虑风光新能源参与二次调频的多源最优协同控制
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(1.云南电网有限责任公司电力科学研究院,云南 昆明 650200;2.云南电网有限责任公司电力调度控制中心, 云南 昆明 650051;3.昆明理工大学电力工程学院,云南 昆明 650500;4. 汕头大学工学院,广东 汕头 515063)

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杨 蕾(1986—),女,硕士,高级工程师,研究方向为电力系统稳定分析与控制、继电保护等;E-mail: 15911577929@139.com 杨 博(1988—),男,博士,副教授,研究方向为新能源发电系统优化与控制以及人工智能在智能电网中的应用;E-mail: yangbo_ac@outlook.com 张孝顺(1990—),男,通信作者,博士,副教授,研究方向为人工智能电力系统控制与优化。E-mail: xszhang1990@sina.cn

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国家自然科学基金项目资助(61963020,51907112);多直流与高比例新能源的云南电网稳控拓展技术研究与闭环仿真平台(056200KK52190009)


Optimal coordinated control of multi-source for AGC with participation of wind and solar energy
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(1. Yunnan Power Grid Co., Ltd. Electric Power Research Institute, Kunming 650200, China; 2. Yunnan Power Grid Co., Ltd. Power Dispatching Control Center, Kunming 650051, China; 3. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China; 4. College of Engineering, Shantou University, Shantou 515063, China)

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    摘要:

    随着风光新能源接入电网的比例不断增加,大型风电场和光伏电站也开始参与区域电网二次调频。为此,搭建了考虑风光新能源参与二次调频的多源最优协同控制模型,以解决区域电网二次调频的实时总功率在不同类型调频电源上的动态分配问题。为解决这个复杂非线性优化问题,采用简单模式搜索算法进行求解,以快速获得不同功率扰动情况下的高质量功率分配方案,从而提高整个区域电网的动态响应调节性能。最后,利用扩展的IEEE标准两区域模型对所搭建模型进行验证,并通过对比传统工程分配方法及智能优化算法来测试应用算法的性能。

    Abstract:

    As the amount of wind and solar renewable energy connected to the power grid gradually increases, large-scale wind farms and photovoltaic (PV) stations begin to participate in secondary frequency control for an interconnected power grid. In this situation, an optimal coordinated control of multi-source for secondary frequency control with wind and solar renewable energy is constructed, which can distribute the real-time total power to various regulation resources. To handle this complex nonlinear optimization, a simple pattern search is used to rapidly obtain a high-quality dispatch scheme under different power disturbances. Thus the dynamic response regulation performance of the control area can be improved. Lastly, an extended IEEE two-area control model is designed to evaluate the performance of the proposed technique and it is compared with the engineering dispatch method and intelligent optimization algorithms. This work is supported by National Natural Science Foundation of China (No. 61963020 and No. 51907112) and Yunnan Power Grid Stability Control Technology Research and Closed Loop Simulation Platform with Multiple DC and High Proportion of New Energy (No. 056200KK52190009).

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杨 蕾,李胜男,黄 伟,等.考虑风光新能源参与二次调频的多源最优协同控制[J].电力系统保护与控制,2020,48(19):43-49.[YANG Lei, LI Shengnan, HUANG Wei, et al. Optimal coordinated control of multi-source for AGC with participation of wind and solar energy[J]. Power System Protection and Control,2020,V48(19):43-49]

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  • 收稿日期:2019-11-24
  • 最后修改日期:2020-01-14
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  • 在线发布日期: 2020-09-27
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