本文選題：需求響應(yīng) + 尖峰電價��； 參考：《西安理工大學(xué)》2017年碩士論文

【摘要】：由于我國經(jīng)濟的快速發(fā)展,對電力需求不斷增長,某些地區(qū)高峰負荷日益升高，對電網(wǎng)設(shè)備等極為不利。為了緩解電力供應(yīng)的壓力,僅通過發(fā)電廠來解決資源調(diào)整是不可能完成的,而需求響應(yīng)措施可以引導(dǎo)客戶用電,降低高峰負荷,成為解決該類問題的有效途徑之一。其核心為電價機制,即通過合理的價格來刺激用戶改變用電方式,降低發(fā)電設(shè)備壓力,使供電方與用戶均受益,其扮演的角色日益重要。因此,本文提出了一種基于消費者心理學(xué)理論的尖峰電價機理模型。本文闡述了關(guān)于尖峰電價的現(xiàn)實意義,與其電價的制定所要依托的理論基礎(chǔ)。根據(jù)我國電力能源使用的實際情況,提出了制訂尖峰電價的合理方法。首先,在峰谷分時電價的基礎(chǔ)上,根據(jù)模糊數(shù)學(xué),利用模糊隸屬函數(shù)對時段進行劃分。然后,對用戶響應(yīng)行為進行分析研究,利用消費者心理學(xué)理論建立用戶負荷轉(zhuǎn)移模型,用戶的差異也會導(dǎo)致響應(yīng)的差異。本文采用最小二乘法對用戶響應(yīng)曲線進行擬合,表明用戶對電價的反應(yīng)存在閾值,隨之解決了閾值的獲取問題,并且給出了響應(yīng)曲線特征參數(shù)的校正方案。再者是利用擬合修正之后的響應(yīng)曲線建立尖峰電價的數(shù)學(xué)模型。該模型兼顧了經(jīng)濟與資源兩方面因素,針對峰谷差與峰值都最小化的問題,建立了以總用電量不變和供電方與用戶方利益平衡為約束條件的尖峰電價數(shù)學(xué)模型,并且對其進行了求解。仿真結(jié)果表明：本文提出的擬合曲線方法在有效的同時,能夠為制定合理的尖峰電價提供科學(xué)依據(jù)。并且,尖峰電價能夠更好有效地改善日負荷曲線,使購電與售電達到較好的支出收入平衡,且總用電量不減,實現(xiàn)了削峰填谷效應(yīng)。
[Abstract]:Because of the rapid development of economy in China, the demand for electricity is increasing, and the peak load in some areas is increasing day by day, which is very disadvantageous to the power network equipment and so on. In order to relieve the pressure of power supply, it is impossible to solve the problem of resource adjustment only by power plant, and the demand response measures can guide customers to use electricity, reduce the peak load, and become one of the effective ways to solve this kind of problem. Its core is the electricity price mechanism, that is, through reasonable price to stimulate users to change the mode of electricity, reduce the pressure of generating equipment, so that both the power supply side and the user benefit, its role plays an increasingly important role. Therefore, this paper presents a peak price mechanism model based on consumer psychology theory. This paper expounds the practical significance of peak electricity price and the theoretical basis on which it is made. According to the actual situation of power energy use in China, a reasonable method for determining the peak electricity price is put forward. Firstly, on the basis of peak-valley time-sharing price and fuzzy mathematics, the time period is divided by fuzzy membership function. Then, the user response behavior is analyzed, and the user load transfer model is established by using consumer psychology theory. The difference of user will lead to the difference of response. In this paper, the least square method is used to fit the user response curve, which shows that there is a threshold value for the user's response to electricity price, and the problem of obtaining the threshold value is solved, and the correction scheme for the characteristic parameters of the response curve is given. Furthermore, the mathematical model of peak price is established by fitting the revised response curve. This model takes both economic and resource factors into account. Aiming at the problem of minimizing peak and valley difference and peak value, a mathematical model of peak electricity price is established, in which the total power consumption is invariable and the interests of the power supply side and the user are balanced as constraints. And it is solved. The simulation results show that the proposed fitting curve method is effective and can provide a scientific basis for the establishment of reasonable peak electricity price. Moreover, the peak electricity price can improve the daily load curve more effectively, achieve a better balance of expenditure income between electricity purchase and electricity sale, and the total electricity consumption does not decrease, thus realizing the effect of peak cutting and valley filling.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F426.61

【參考文獻】

相關(guān)期刊論文 前10條

1 陳建楓;范兵;郭敏;施勇;馮小珊;顧潔;;基于用電特性的分類用戶優(yōu)化峰谷電價機制研究[J];電器與能效管理技術(shù);2017年04期

2 柏小麗;陽洪英;嚴文潔;羅皓文;;淺談市場環(huán)境下的電力需求側(cè)管理[J];技術(shù)與市場;2017年02期

3 尉博旭;丁楊;;基于電力需求側(cè)的峰谷電價實施問題及對策建議[J];吉林化工學(xué)院學(xué)報;2016年11期

4 劉思強;葉澤;姚軍;劉宇哲;;負荷價格彈性的季節(jié)特性及尖峰電價政策福利效應(yīng)估算[J];中國電力;2016年10期

5 劉道新;郭萬祝;王世成;曾鳴;;面向能源互聯(lián)網(wǎng)的新型需求側(cè)管理模式研究[J];電力建設(shè);2016年06期

6 周揚;黃海麗;王東升;楊文佳;侯保剛;;峰谷分時電價對電能質(zhì)量和調(diào)峰能力的影響[J];山東電力技術(shù);2015年12期

7 金文玉;;電力負荷控制技術(shù)及其在需求側(cè)管理中的應(yīng)用[J];科技展望;2015年20期

8 孔祥玉;楊群;穆云飛;陸寧;徐_";;分時電價環(huán)境下用戶負荷需求響應(yīng)分析方法[J];電力系統(tǒng)及其自動化學(xué)報;2015年10期

9 陳敏;;《模糊數(shù)學(xué)》的混合教學(xué)[J];教育教學(xué)論壇;2015年27期

10 蔡德華;陳柏熹;程樂峰;王利國;余濤;;實施需求側(cè)管理對提高發(fā)電系統(tǒng)可靠性的影響探究[J];電力系統(tǒng)保護與控制;2015年10期

相關(guān)博士學(xué)位論文 前1條

1 王冬容;電力需求側(cè)響應(yīng)理論與實證研究[D];華北電力大學(xué)（北京）;2011年

相關(guān)碩士學(xué)位論文 前3條

1 徐岱岱;基于時間彈性的電力負荷管理優(yōu)化問題研究[D];沈陽大學(xué);2016年

2 李停;基于ARMA-GARCH模型的電價預(yù)測與研究[D];重慶師范大學(xué);2015年

3 李少娟;基于需求側(cè)管理理念的電力市場營銷方案的制定及實例分析[D];華南理工大學(xué);2012年

，

本文編號：1835180