LFC-main
所属分类：matlab编程
开发工具：matlab
文件大小：371KB
下载次数：5
上传日期：2021-03-17 19:38:19
上 传 者：
白墨san
说明： 负荷频率控制（LFC）是调整系统的频率达到额定值（如50HZ）或/和维持区域联络线交换功率为计划值。频率稳定是电力系统电能质量的一个重要指标。负荷的任意突然变化都有可能导致系统间联络线交换功率的偏差及系统频率的波动。因此，为保证电能质量，需要一个负荷频率控制(load frequency control,LFC)系统，该系统的目的是将系统频率维持在标称值并且尽可能使控制区域之间的未计划的联络线交换功率最小。
(Load frequency control (LFC) is to adjust the frequency of the system to reach the rated value (such as 50 Hz) or / and maintain the exchange power of the regional tie line to the planned value. Frequency stability is an important index of power quality in power system. Any sudden change of load may lead to the deviation of power exchange between tie lines and the fluctuation of system frequency. Therefore, in order to ensure the power quality, a load frequency control (LFC) system is needed. The purpose of the system is to maintain the system frequency at the nominal value and minimize the unplanned tie line exchange power between the control areas.)
文件列表:
LFC-main\LFC_mainFiles\AGC_PID_two_area.slx (26105, 2016-03-11)
LFC-main\LFC_mainFiles\AGC_PID_two_area_smes_1.slx (26404, 2016-03-11)
LFC-main\LFC_mainFiles\AGC_PID_two_area_smes_one_pid_1.slx (25611, 2016-03-11)
LFC-main\LFC_mainFiles\Compare_1.m (1873, 2016-03-26)
LFC-main\LFC_mainFiles\Compare_2.m (1990, 2016-03-26)
LFC-main\LFC_mainFiles\one_pid_smes\AGC_PID_two_area_smes_one_pid.slx (25611, 2016-03-11)
LFC-main\LFC_mainFiles\one_pid_smes\Get_Functions_details.m (944, 2018-01-30)
LFC-main\LFC_mainFiles\one_pid_smes\initialization.m (539, 2018-01-30)
LFC-main\LFC_mainFiles\one_pid_smes\main.m (1367, 2018-01-30)
LFC-main\LFC_mainFiles\one_pid_smes\SCA.m (3457, 2018-01-30)
LFC-main\LFC_mainFiles\parameters.xlsx (9769, 2016-03-11)
LFC-main\LFC_mainFiles\PID_smes\AGC_PID_two_area_smes.slx (26404, 2016-03-11)
LFC-main\LFC_mainFiles\PID_smes\Get_Functions_details.m (1040, 2018-01-30)
LFC-main\LFC_mainFiles\PID_smes\initialization.m (541, 2018-01-30)
LFC-main\LFC_mainFiles\PID_smes\main.m (1474, 2018-01-30)
LFC-main\LFC_mainFiles\PID_smes\SCA.m (3523, 2018-01-30)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_1.slx (26999, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_2.slx (26964, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_3.slx (27029, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_4.slx (27019, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_5.slx (26989, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_6.slx (26934, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_7.slx (27036, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_8.slx (26981, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\AGC_PID_controller_9.slx (27022, 2016-03-26)
LFC-main\LFC_mainFiles\Robustness\Compare_system_robustness.m (3476, 2016-03-26)
LFC-main\LICENSE (1238, 2020-10-26)
LFC-main\LFC_mainFiles\one_pid_smes (0, 2021-03-16)
LFC-main\LFC_mainFiles\PID_smes (0, 2021-03-16)
LFC-main\LFC_mainFiles\Robustness (0, 2021-03-16)
LFC-main\LFC_mainFiles (0, 2021-03-16)
LFC-main (0, 2021-03-16)
# Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system
#### Controller parameters tuning for load frequency control (matlab code)
You are allowed to use this code for educational purposes and for citation use the following paper:
+ SeyedShenava, S., and Asefi, S. "Tuning controller parameters for AGC of multi-source power system using SCA algorithm." Delta 2.B2 (2018): B2.
### YouTube link of the project
+ Project's YouTube link: https://youtu.be/VTQJRqmlZ3o
### Code files discription:
Controller parameters tuning for load frequency control (matlab code)
The main paper I started my LFC simulation is:
Mohanty, Banaja, Sidhartha Panda, and P. K. Hota. "Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system." International journal of electrical power & energy systems 54 (2014): 77-85.
I recommend it (in addition to my own paper) for anyone who wants to start simulation in this area.
I have simulated a multi-area system and applied SCA optimization algorithm for controller parameter selection.
I have analyzed controller's robustness by change in two different parameters of the system, R (governor speed regulation) and B (frequency bias parameter). In addition to HVDC link, I have considered SMES.
A novel population-based optimization algorithm called Sine Cosine Algorithm (SCA) has been adopted to solve optimization of automatic load frequency control (LFC) of a realistic power system with multi-source power generation is presented.
The sensitivity analysis reveals that the proposed controller is quite robust and optimum controller gains once set for nominal condition need not to be changed for ±25% variations in the system parameters and operating load condition from their nominal values. The dynamic performance of proposed controller is investigated by integral of time multiplied absolute error (ITAE) cost function.
Files contain the following results:
- First we are going to compare DE and SCA algorithms in respect to 1 percent step change in load of area one and compare the results with the obtained results in main paper.
- Next we are going to investigate effectiveness of using SMES instead of HVDC in our system.
- And finally we are going to analyze a situation in which we use only one PID controller instead of three controllers, while using SMES for area 1.
Our comparison contains two stages. Stage 1 is comparing system with and without SMES and stage 2 is to compare system with SMES for using 3 and one PID for all areas. And finally we have analyzed system robustness considering system with SMES while using three PID controllers
By running m.files compaire_1 and compare_2 you will obtain the needed results (based on parameters obtained seperately from simulation and stored in an excel file). If you are interested to run each stage seperately, the files with detailed codes are provided.
#### In case of further questions please contact: sajjad.asefi1992@gmail.com
All the best
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