| 基于AHP / GA的储能装置参与电网调频控制器参数优化 |
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| 引用本文： | 雷杨,马宁宁,康积涛,王德林,曹聪.基于AHP / GA的储能装置参与电网调频控制器参数优化[J].电力自动化设备,2017,37(8). |
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| 作者姓名： | 雷杨 马宁宁 康积涛 王德林 曹聪 |
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| 作者单位： | 西南交通大学 电气工程学院，四川 成都 610031,西南交通大学 电气工程学院，四川 成都 610031,西南交通大学 电气工程学院，四川 成都 610031,西南交通大学 电气工程学院，四川 成都 610031,西南交通大学 电气工程学院，四川 成都 610031 |
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| 基金项目： | 国家自然科学基金资助项目(51477143) |
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| 摘 要： | 针对电力系统调频过程中火电机组响应速度慢、不适合参与短周期调频的问题,提出一种基于层次分析法(AHP)和遗传算法(GA)相结合的优化算法用于电池储能控制器参数优化,使控制器能更好地控制电池储能装置并参与调频。通过AHP确定最大偏差幅值、稳态偏差、调节时间之间的权重大小,构造出一个GA适应度函数,再由GA进行寻优计算得到最佳的控制器参数。借助MATLAB/Simulink对储能装置参与电网调频的两区域系统进行仿真。仿真结果表明,优化后的控制器可以有效地控制储能装置并辅助AGC进行调频,能够及时响应扰动,相较于传统以时间绝对偏差乘积积分(ITAE)准则作为适应度函数的参数优化效果更好。
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| 关 键 词： | 电池 储能 辅助调频 参数优化 层次分析法 遗传算法 |
| 收稿时间： | 2017/1/9 0:00:00 |
| 修稿时间： | 2017/6/7 0:00:00 |
Parameter optimization based on AHP/GA for frequency modulation controller of energy storage system |
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| LEI Yang,MA Ningning,KANG Jitao,WANG Delin and CAO Cong.Parameter optimization based on AHP/GA for frequency modulation controller of energy storage system[J].Electric Power Automation Equipment,2017,37(8). |
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| Authors: | LEI Yang MA Ningning KANG Jitao WANG Delin and CAO Cong |
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| Affiliation: | School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China,School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China,School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China,School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China and School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | Aiming at the slow response speed of thermal power generating unit, unsuitable for the short-period frequency modulation of power system, an optimization algorithm based on AHP (Analytic Hierarchy Process) and GA (Genetic Algorithm) is proposed to optimize the parameters of battery energy storage controller for enabling it to better control the battery energy storage system and to participate in the frequency modulation. The weights of the maximum deviation amplitude, steady-state deviation and adjustment time are determined by AHP, and a GA fitness function is constructed to optimize the controller parameters. A two-area power system with energy storage participating in the grid frequency modulation is simulated on MATLAB/Simulink simulation platform. Simulative results show that, the optimized controller can effectively control the energy storage device, assist AGC in the frequency modulation and respond to the disturbance in time, having better parameter optimization effect than that with the ITAE(Integrated Time and Absolute Error) criterion as its fitness function. |
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| Keywords: | electric batteries energy storage auxiliary frequency modulation parameter optimization analytic hierarchy process genetic algorithms |
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