中長(zhǎng)期負(fù)荷預(yù)測(cè)在南陽(yáng)電網(wǎng)需求側(cè)管理中的應(yīng)用研究
[Abstract]:With the rapid development of economy, great changes have taken place in the electricity market, the power peak and valley difference has been enlarged year by year, and the contradiction between supply and demand of electricity is prominent, which increases the difficulty of power load forecasting and demand-side management. At the same time, it also threatens the safe and stable operation of power grid. Therefore, the long-term load forecasting is the premise of power grid planning and demand-side management, while the DSM is an important means to ensure the safe operation of power grid economy. Based on the analysis of load composition and its proportion in Nanyang City, this paper focuses on the statistical analysis of typical load and historical data of Nanyang City, on the basis of which, This paper makes use of the classical load forecasting method and grey forecasting method to forecast the medium and long term load of Nanyang power network, and gives the final forecast result by using the weighted average method, and carries on the longitudinal and horizontal check to the forecast result and its precision. Its precision meets the requirement of load forecasting, and finally gives the medium and long term load forecasting value which is most suitable for Nanyang area. Then on the basis of the analysis of the forecast results, it is found that the load gap of Nanyang power network is gradually widening, and the construction of power supply project is lagging behind, which causes the phenomenon of hard electricity shortage in this area for a long time, and has an impact on the security and stability of the power grid. It is suggested that the potential of deep-digging demand-side management is the most effective way to deal with the power shortage. This paper analyzes the present situation of local demand-side management, the existing problems and the factors restricting the development of demand-side management, and puts forward relevant demand-side management opinions adapted to the characteristics of the region from the aspects of management, technology and economy, so as to move the peak and fill the valley effectively. To improve the regional load rate and reduce the load gap in order to ease the power supply pressure and ensure the safe operation of the power grid.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F426.61
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 朱成章,王冬利,葉水泉;聚焦DSM障礙(1)[J];電力需求側(cè)管理;2004年06期
2 ;學(xué)習(xí)和借鑒國(guó)外的成功經(jīng)驗(yàn)[J];電力需求側(cè)管理;2005年06期
3 胡兆光,陳鐵成,紀(jì)洪,趙磊;在北京地區(qū)實(shí)施需求側(cè)管理的效益分析[J];電力系統(tǒng)自動(dòng)化;1999年13期
4 顧潔,申剛,徐光虎;改進(jìn)的電力系統(tǒng)中長(zhǎng)期負(fù)荷預(yù)測(cè)方法研究[J];電力自動(dòng)化設(shè)備;2002年06期
5 周宏,黃婷,戴韌,陳康民;幾種灰色模型用于電力消費(fèi)中期預(yù)測(cè)研究[J];電網(wǎng)技術(shù);2000年07期
6 胡江溢;王鶴;周昭茂;;電力需求側(cè)管理的國(guó)際經(jīng)驗(yàn)及對(duì)我國(guó)的啟示[J];電網(wǎng)技術(shù);2007年18期
7 張?chǎng)?韋鋼,周敏,楊熠娟;灰色理論在城市年用電量預(yù)測(cè)中的應(yīng)用[J];上海電力學(xué)院學(xué)報(bào);2002年02期
8 楊穎;;上海市東電網(wǎng)電力需求側(cè)管理策略[J];華東電力;2009年02期
9 梁周;傅渝潔;楊鵬舉;張怡;曾鳴;田廓;;考慮需求側(cè)管理的電力規(guī)劃模型與實(shí)證研究[J];華東電力;2009年07期
10 王江波;梁榕珊;田廓;孫浩;張艷馥;曾鳴;杜曉茜;洪旖旎;;需求側(cè)管理保障體系的國(guó)際經(jīng)驗(yàn)及對(duì)我國(guó)的啟示[J];華東電力;2010年10期
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