鄭州電力負(fù)荷特性分析與研究
發(fā)布時間:2018-09-03 17:29
【摘要】:準(zhǔn)確把握電網(wǎng)負(fù)荷特性及其發(fā)展變化趨勢是做好電力規(guī)劃、計劃、生產(chǎn)運行工作的重要基礎(chǔ)。近年來,隨著我國經(jīng)濟快速發(fā)展,人民生活水平的不斷提高,以及節(jié)能減排、氣候氣溫等因素影響,電網(wǎng)負(fù)荷特性出現(xiàn)了明顯變化。按照黨十八大提出的2020年全面建成小康社會的目標(biāo),未來我國發(fā)展方式轉(zhuǎn)變、經(jīng)濟結(jié)構(gòu)調(diào)整、新能源以及分布式能源快速發(fā)展、智能電網(wǎng)建設(shè)等,必將對負(fù)荷特性產(chǎn)生較大影響。為進一步了解鄭州地區(qū)、及地區(qū)重點行業(yè)的負(fù)荷水平及負(fù)荷特性的歷史變化與現(xiàn)狀,以及相關(guān)因素對負(fù)荷特性的影響程度,準(zhǔn)確把握負(fù)荷特性變化的規(guī)律和趨勢,提高電力市場分析預(yù)測的科學(xué)性、準(zhǔn)確性,提升對電網(wǎng)規(guī)劃、計劃、生產(chǎn)運行等工作的支撐力度,開展負(fù)荷特性研究工作是十分必要的。本文通過對2005年至2010年和2010至2012年兩個階段歷史數(shù)據(jù)的統(tǒng)計整合,利用各種算法,詳細的分析了各年的最大負(fù)荷、最大峰谷差和最大峰谷差率、負(fù)荷率、季不均衡系數(shù)、年負(fù)荷曲線、最大負(fù)荷利用小時數(shù)等逐年變化情況及特點,通過分行業(yè)用電負(fù)荷特性分析、分地區(qū)電力負(fù)荷分布分析、用電負(fù)荷密度分析等方法得出近年來鄭州地區(qū)的用電量增長特點,電力負(fù)荷增長特點,用電量與負(fù)荷增長關(guān)系,主要負(fù)荷特性指標(biāo)的變化特點及其原因。最后,通過梳理本論文的分析結(jié)論,下一步鄭州電網(wǎng)發(fā)展、規(guī)劃、配電網(wǎng)建設(shè)、電源總量及結(jié)構(gòu)跨地區(qū)調(diào)劑支援、DSM政策、電價政策等方面,提出相關(guān)建議。
[Abstract]:It is an important foundation for power planning, planning and operation to grasp the load characteristics and its development trend. In recent years, with the rapid development of economy, the continuous improvement of people's living standard, energy saving and emission reduction, climate temperature and other factors, the load characteristics of power grid have changed obviously. In accordance with the goal of building a well-to-do society in an all-round way by 2020 set by the 18th National Congress of the Party, the future development mode of our country will be changed, the economic structure will be adjusted, new and distributed energy sources will develop rapidly, and the smart grid will be built. It will have a great influence on the load characteristic. In order to further understand the historical changes and present situation of load level and load characteristics in Zhengzhou area and key industries, and the influence degree of relevant factors on load characteristics, the law and trend of load characteristic change can be accurately grasped. It is necessary to improve the scientific and accurate analysis and forecast of power market, to enhance the support for power network planning, production and operation, and to carry out research on load characteristics. Through the statistical integration of the historical data from 2005 to 2010 and from 2010 to 2012, this paper analyzes in detail the maximum load, the maximum peak and valley difference, the load rate and the seasonal imbalance coefficient of each year by using various algorithms. The annual load curve, the number of hours of maximum load utilization and so on are changed year by year. By analyzing the characteristics of electric load in different industries, the distribution of electric load in different areas is analyzed. The methods of power load density analysis and so on have obtained the characteristics of electricity consumption growth in Zhengzhou area in recent years, the characteristics of power load growth, the relationship between electricity consumption and load growth, the change characteristics of main load characteristic indexes and their causes. Finally, through combing the analysis conclusion of this paper, the next step of Zhengzhou power grid development, planning, distribution network construction, total power supply and structure cross-regional adjustment support DSM policy, electricity price policy and other aspects of the relevant recommendations.
【學(xué)位授予單位】:鄭州大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM714
本文編號:2220679
[Abstract]:It is an important foundation for power planning, planning and operation to grasp the load characteristics and its development trend. In recent years, with the rapid development of economy, the continuous improvement of people's living standard, energy saving and emission reduction, climate temperature and other factors, the load characteristics of power grid have changed obviously. In accordance with the goal of building a well-to-do society in an all-round way by 2020 set by the 18th National Congress of the Party, the future development mode of our country will be changed, the economic structure will be adjusted, new and distributed energy sources will develop rapidly, and the smart grid will be built. It will have a great influence on the load characteristic. In order to further understand the historical changes and present situation of load level and load characteristics in Zhengzhou area and key industries, and the influence degree of relevant factors on load characteristics, the law and trend of load characteristic change can be accurately grasped. It is necessary to improve the scientific and accurate analysis and forecast of power market, to enhance the support for power network planning, production and operation, and to carry out research on load characteristics. Through the statistical integration of the historical data from 2005 to 2010 and from 2010 to 2012, this paper analyzes in detail the maximum load, the maximum peak and valley difference, the load rate and the seasonal imbalance coefficient of each year by using various algorithms. The annual load curve, the number of hours of maximum load utilization and so on are changed year by year. By analyzing the characteristics of electric load in different industries, the distribution of electric load in different areas is analyzed. The methods of power load density analysis and so on have obtained the characteristics of electricity consumption growth in Zhengzhou area in recent years, the characteristics of power load growth, the relationship between electricity consumption and load growth, the change characteristics of main load characteristic indexes and their causes. Finally, through combing the analysis conclusion of this paper, the next step of Zhengzhou power grid development, planning, distribution network construction, total power supply and structure cross-regional adjustment support DSM policy, electricity price policy and other aspects of the relevant recommendations.
【學(xué)位授予單位】:鄭州大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM714
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,本文編號:2220679
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