|
|
|
| Application and development of power load forecasting software based on Matlab GUI |
| Du Ting1, Zhao Shousheng1, Li Yongqi2, Chen Lidan3 |
1. State Grid Zhejiang Electric Power Company Jinhua Power Supply Company, Jinhua, Zhejiang 321000;
2. China Southern Power Grid Guangzhou Power Supply Co., Ltd, Guangzhou 515223;
3. Guangzhou College of South China University of Technology, Guangzhou 510800 |
|
|
|
|
Abstract Load forecasting is the basis of grid planning, take the electricity consumption of the whole society as an example, this paper predicted the load during the planning period of the 13th five-year grid by trend extrapolation model, grey model and its improved model. Then, the power load forecasting software with lots of functions was developed based on Matlab GUI, the software can implement importing, modifying and saving of the survey data. A variety of prediction models can be used to predict the power load based on the software, and the results can be analyzed and evaluated in the forecasting system, and it has universality and practicability, which can be used by grid planning staff.
|
|
Received: 26 October 2017
Published: 19 June 2018
|
|
|
|
| Cite this article: |
|
Du Ting,Zhao Shousheng,Li Yongqi等. Application and development of power load forecasting software based on Matlab GUI[J]. Electrical Engineering, 2018, 19(6): 1-6.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2018/V19/I6/1
|
[1] 程浩忠, 张焰, 等. 电力系统规划[M]. 北京: 中国电力出版社, 2008.
[2] 黄玉龙, 刘明波, 郑文杰, 等. 基于可信区间的模糊线性回归动态负荷参数预测[J]. 电工技术学报, 2015, 30(24): 196-205.
[3] 万昆, 柳瑞禹. 区间时间序列向量自回归模型在短期电力负荷预测中的应用[J]. 电网技术, 2012, 36(11): 77-81.
[4] 李滨, 覃芳璐, 吴茵, 等. 基于模糊信息粒化与多策略灵敏度的短期日负荷曲线预测[J]. 电工技术学报, 2017, 32(9): 149-159.
[5] 蒋燕, 王少杨, 封芸. 基于递归等权组合模型的中长期电力负荷预测[J]. 电力系统及其自动化学报, 2012, 24(1): 151-155.
[6] 罗华飞. Matlab GUI设计学习手记[M]. 北京: 北京航空航天大学出版社, 2014.
[7] 侯伟, 肖健, 牛利勇. 基于灰色理论的光伏发电系统出力预测方法[J]. 电气技术, 2016, 17(4): 53-58.
[8] 韩富尧, 刘亚伟. 基于计量经济-灰色理论的多变量电力负荷预测方法[J]. 电气技术, 2017, 18(7): 37-40.
[9] 周国鹏, 傅军, 李雪梅, 等. 灰色预测GM(1,1)模型的改进及应用[J]. 数学的实践与认识, 2011, 41(23): 39-46.
[10] 袁铁江, 袁建党, 晁勤, 等. 电力系统中长期负荷预测综合模型研究[J]. 电力系统保护与控制, 2012, 40(14): 143-146.
[11] 陈武, 张山江, 侯春华, 等. 二次指数平滑预测模型回归系数计算方法探讨[J]. 统计与决策, 2016(19): 11-12.
[12] 谷云东, 张素杰, 冯君淑. 大用户电力负荷的多模型模糊综合预测[J]. 电工技术学报, 2015, 30(23): 110-115.
[13] 杨琳, 徐慧英, 王艳洁. 基于贝叶斯最大化后验估计方法的图片合成模型研究[J]. 计算机科学, 2016, 43(6): 321-324. |
|
|
|
2018, Vol. 19 
