| 调速侧电力系统稳定器优化设计方法 |
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| 引用本文： | 方日升,林耀东,江伟,黄霆,徐振华,吴丹岳,陈志,苏毅,林济铿.调速侧电力系统稳定器优化设计方法[J].中国电力,2021,54(9):74-82. |
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| 作者姓名： | 方日升 林耀东 江伟 黄霆 徐振华 吴丹岳 陈志 苏毅 林济铿 |
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| 作者单位： | 1. 国网福建省电力有限公司电力科学研究院，福建 福州 350007;2. 同济大学 电子与信息工程学院，上海 201804;3. 国网福建省电力有限公司，福建 福州 350003 |
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| 基金项目： | 国网福建省电力有限公司重点科技项目(福建电网统调大型机组一次调频功率振荡机理分析及抑制措施关键技术研究，52130417000J)；国家自然科学基金资助项目(基于图论的智能电网最优电力孤岛形成模型和算法，51177107) |
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| 摘 要： | 针对由调速系统引起的弱阻尼低频振荡问题，提出调速侧电力系统稳定器（governor power system stabilizer, GPSS）优化设计方法，在抑制低频振荡的同时确保系统调节速度满足一次调频性能要求。首先，构建GPSS优化模型，该模型以阻尼比裕度与系统达到90%出力时间加权和最大为目标函数，以系统一次调频所要求的速度、稳定时间和稳定性为约束条件；进而，基于粒子群优化算法（particle swarm optimization，PSO）构建该优化模型的求解方法。算例验证了所提模型及算法的有效性及可行性。
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| 关 键 词： | 调速侧电力系统稳定器 低频振荡 一次调频 粒子群优化算法 优化设计 |
| 收稿时间： | 2019-09-02 |
| 修稿时间： | 2020-02-28 |
Design Method for the Governor Power System Stabilizer |
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| FANG Risheng,LIN Yaodong,JIANG Wei,HUANG Ting,XU Zhenhua,WU Danyue,CHEN Zhi,SU Yi,LIN Jikeng.Design Method for the Governor Power System Stabilizer[J].Electric Power,2021,54(9):74-82. |
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| Authors: | FANG Risheng LIN Yaodong JIANG Wei HUANG Ting XU Zhenhua WU Danyue CHEN Zhi SU Yi LIN Jikeng |
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| Affiliation: | 1. State Grid Fujian Electric Power Research Institute, Fuzhou 350007, China;2. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;3. State Grid Fujian Electric Power Co., Ltd., Fuzhou 350003, China |
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| Abstract: | In order to suppress the low frequency oscillation caused by governors, this paper proposes a new design method for the governor power system stabilizer (GPSS), where the requirement of the regulating speed is satisfied. A new GPSS optimization model was developed in the paper. The objective is to maximize the weighted summation of damping ratio margin and the time of the system to reach 90% load as the objective function, and its constraints include speed and stabilization time of primary frequency modulation requirement and stability requirement. A particle swarm optimization (PSO) based algorithm was developed for the optimization model. Simulation results demonstrate the effectiveness and feasibility of the proposed method. |
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| Keywords: | governor power system stabilizer low frequency oscillation primary frequency modulation particle swarm optimization algorithm optimization design |
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