青海电力需求的影响因素和指标分析

傅旭, 苗淼, 张祥成, 张鹏宇, 于德明

分布式能源 ›› 2018, Vol. 3 ›› Issue (3) : 34-41.

PDF(4343 KB)
PDF(4343 KB)
分布式能源 ›› 2018, Vol. 3 ›› Issue (3) : 34-41. DOI: 10.16513/j.cnki.10-1427/tk.2018.03.006

青海电力需求的影响因素和指标分析

作者信息 +

Influencing Factors and Indicators of Electricity Consumption in Qinghai

Author information +
文章历史 +

摘要

Electricity load forecasting is a basic content of power system planning. This paper adopts the data of the national economy and social statistics of Qinghai power grid for nearly 10 years to analyze the relationship between economic factors, industrial structure, population, urbanization rate, the growth of power demand in Qinghai and its electricity load increase; and then analyzes the development trend of electricity elastic coefficient, comprehensive energy consumption coefficient, per person living electricity consumption, industry output value per unit consumption, load utilization hours and other indicators. With the yearly 8760 hour load data of Qinghai power grid, the annual characteristic, seasonal characteristic and daily characteristic of the power load in Qinghai are summarized, and the characteristics and causes of the formation are analyzed. The research results provides an analytical basis for the medium-long term load forecasting, load characteristic analysis, the planning and design of power system and the development of power supply of Qinghai power grid.

关键词

电力需求预测 / 电力弹性系数 / 综合电耗 / 人均生活用电 / 负荷特性 / electricity load forecasting / power elasticity coefficient / comprehensive power consumption / per person living electricity consumption / load characteristic

引用本文

导出引用
傅旭, 苗淼, 张祥成, . Influencing Factors and Indicators of Electricity Consumption in Qinghai[J]. 分布式能源. 2018, 3(3): 34-41 https://doi.org/10.16513/j.cnki.10-1427/tk.2018.03.006
[J]. Distributed Energy Resources. 2018, 3(3): 34-41 https://doi.org/10.16513/j.cnki.10-1427/tk.2018.03.006
中图分类号: TK 01   

参考文献

[1]
赵希正. 中国电力负荷特性分析与预测[M]. 北京:中国电力出版社, 2002: 151-164.
[2]
廖峰徐聪颖姚建刚,等. 常德地区负荷特性及其影响因素分析[J]. 电网技术2012, 36(7):117-125.
LIAO Feng, XU Congying, YAO Jiangang, et al, Load characteristics of Changde region and analysis on its influencing factors[J]. Power System Technology, 2012, 36(7):117-125.
[3]
葛斐荣秀婷石雪梅,等. 基于经济、 气象因素的安徽省年最大负荷预测方法研究[J]. 中国电力2015, 48(3):84-87.
GE Fei, RONG Xiuting, SHI Xuemei, et al.The Anhui annual maximum load forecasting method research based on economic and meteorological factors[J]. Electric Power, 2015, 48(3):84-87.
[4]
刘飞贲树俊. 基于聚类分析的居民典型负荷特性分析[J]. 江苏电机工程2007, 26(z2):34-37.
LIU Fei, BEN Shujun. The residents of a typical load characteristics analysis based on cluster analysis[J]. Jiangsu Electrical Engineering, 2007, 26(z2):34-37.
[5]
周友斌李小平. 湖北电网负荷与气温关系及负荷特性分析[J]. 湖北电力2006, 30(z1):86-90.
ZHOU Youbin, LI Xiaoping. Hubei power grid load and temperature load characteristics and analysis of the relationship[J]. Hubei Electric Power, 2006, 30(z1):86-90.
[6]
于海燕张凤玲. 基于模糊神经网络的电力负荷短期预测荷预测中的应用[J]. 电网技术2007, 31(3):68-72.
YU Haiyan, ZHANG Fengling. Short-term load forecasting based on fuzzy neural network[J]. Power System Technology, 2007, 31(3):68-72.
[7]
倪明高晓萍单渊达. 证据理论在中期负荷预测中的应用[J]. 中国电机工程学报1997, 17(3):199-203.
NI Ming, GAO Xiaoping, SHAN Yuanda. Application of evidential theory in middle term load forecasting[J]. Proceedings of the CSEE, 1997, 17(3):199-203.
[8]
钱卫华姚建刚龙立波,等. 基于短期相关性和负荷增长的中长期负荷预测[J]. 电力系统自动化2007, 31(11):59-64.
QIAN Weihua, YAO Jiangang, LONG Libo, et al. Short-term correlation and annual growth based mid-long term load forecasting[J]. Automation of Electric Power Systems, 2007, 31(11):59-64.
[9]
姚李孝刘学琴伍利,等. 基于广义回归神经网络的电力系统中长期负荷预测[J]. 电力自动化设备2007, 27(8):26-29.
YAO Lixiao, LIU Xueqin, WU Li, et al. Mid- & long-term load forecast based on GRNN[J]. Electric Power Automation Equipment, 2007, 27(8):26-29.
[10]
雷绍兰李山蒋东荣,等. 重庆地区中长期负荷特性和预测方法研究[J]. 中国电力2016, 49(1):96-101.
LEI Shaolan, LI Shan, JIANG Dongrong, et al. Study on the mid-long term load characteristics of Chongqing grid and the forecasting method[J]. Electric Power, 2016, 49(1):96-101.
[11]
王大鹏汪秉文. 基于变权缓冲灰色模型的中长期负荷预测[J]. 电网技术2013, 37(1):167-171.
WANG Dapeng, WANG Bingwen. Medium- and long-term load forecasting based on variable weights buffer grey model[J]. Power System Technology, 2013, 37(1):167-171.
[12]
张健美周步祥林楠,等. 灰色Elman神经网络的电网中长期负荷预测[J]. 电力系统及其自动化学报2013, 25(4):145-149.
ZHANG Jianmei, ZHOU Buxiang, LIN Nan, et al. Prediction of mid-long term load based on gray Elman neural networks[J]. Proceedings of the CSU-EPSA, 2013, 25(4):145-149.
[13]
高荣徐迅周江昕,等. 上海市安居小区电力负荷特性分析[J]. 华东电力2012, 40(6):1064-1066.
GAO Rong, XU Xun, ZHOU Jiangxin, et al. Power load characteristics of affordable housing project quarters[J]. East China Electric Power, 2012, 40(6):1064-1066.
[14]
唐宝董征. “十一五”期间南方电网负荷特性分析[J]. 中国电力2012, 45(10):30-35.
TANG Bao, DONG Zheng. Analysis on load characteristics of China southern power grid in 11th five year plan[J]. Electric Power, 2012, 45(10):30-35.
[15]
姜勇. 南京地区春节负荷特性分析及其预测方法[J]. 电网技术2003, 27(5):72-74.
JIANG Yong. Load characteristics analysis and load forecasting during spring festival in Nanjing district[J]. Power System Technology, 2003, 27(5):72-74.
[16]
杨宗麟. 华东电网负荷特性分析预测[J]. 华东电力2008, 36(5):50-52.
YANG Zonglin. Analysis and forecast of load characteristics for east China power grid[J]. East China Electric Power, 2008, 36(5):50-52.
[17]
陈健刘明波樊亚亮,等. 广州电网负荷特性分析[J]. 电力系统及其自动化学报2009, 21(6):78-83.
CHEN Jian, LIU Mingbo, FAN Yaliang, et al. Studies on load characteristics of Guangzhou power network[J]. Proceedings of the CSU-EPSA, 2009, 21(6):78-83.
[18]
陈伟周峰韩新阳,等. 国家电网负荷特性分析研究[J]. 电力技术经济2008, 20(4):25-29, 37.
CHEN Wei, ZHOU Feng, HAN Xinyang, et al. Analysis on load characteristics of state grid[J]. Electric Power Technologic Economics, 2008, 20(4):25-29, 37.
[19]
魏磊张琳姜宁,等. 西北地区电网负荷特性研究[J]. 电网与清洁能源2010, 26(7):57-62.
WEI Lei, ZHANG Lin, JIANG Ning, et al. Analysis of load characteristics for northwest China power grid[J]. Power System and Clean Energy, 2010, 26(7):57-62.

编辑: 蒋毅恒
PDF(4343 KB)

Accesses

Citation

Detail

段落导航
相关文章

/