本文關(guān)鍵詞：光伏發(fā)電接入電網(wǎng)后的分時(shí)電價(jià)優(yōu)化策略研究　出處：《西南交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 光伏消納 等效負(fù)荷曲線 分時(shí)電價(jià) 時(shí)段劃分 模糊聚類

【摘要】：作為一種常見(jiàn)的可再生能源,太陽(yáng)能逐步發(fā)展成為化石能源的主要替代能源,得到了越來(lái)越廣泛的應(yīng)用。隨著技術(shù)水平的不斷提升,光伏發(fā)電成本呈現(xiàn)快速下降趨勢(shì),光伏發(fā)電將占據(jù)越來(lái)越重要的地位。但光伏電源出力具有隨機(jī)性、波動(dòng)性和間歇性,對(duì)系統(tǒng)具有負(fù)面影響。為了提升電力系統(tǒng)消納光伏發(fā)電的能力,本文通過(guò)采用峰谷分時(shí)電價(jià)措施調(diào)整等效負(fù)荷曲線,作為需求側(cè)管理的一項(xiàng)基礎(chǔ)手段,它可以引導(dǎo)用戶來(lái)改變用電方式,從而對(duì)負(fù)荷曲線產(chǎn)生修正作用。為了同時(shí)兼顧優(yōu)化光伏消納和負(fù)荷曲線的削峰填谷,將負(fù)荷曲線減去光伏曲線所得的等效負(fù)荷曲線作為分時(shí)電價(jià)的優(yōu)化對(duì)象。采用這種方法可以有效提升光伏出力曲線與負(fù)荷曲線之間的相關(guān)性。經(jīng)過(guò)適當(dāng)假設(shè)和簡(jiǎn)化之后,由傳統(tǒng)電量電價(jià)彈性矩陣推導(dǎo)出基于消費(fèi)者心理學(xué)原理的負(fù)荷轉(zhuǎn)移模型,準(zhǔn)確地刻畫用戶對(duì)電價(jià)變化的響應(yīng)過(guò)程。為峰谷分時(shí)電價(jià)優(yōu)化計(jì)算提供了基礎(chǔ)。合理的時(shí)段劃分為制定峰谷分時(shí)電價(jià)奠定了基礎(chǔ)。本文采用模糊聚類方法對(duì)等效負(fù)荷曲線進(jìn)行時(shí)段劃分,以半梯形隸屬函數(shù)建立模糊關(guān)系,以傳遞閉包法求出模糊等價(jià)矩陣,再采用基于等價(jià)關(guān)系的模糊聚類對(duì)峰谷時(shí)段進(jìn)行劃分。該方法能較好地反映各負(fù)荷點(diǎn)的峰谷特性。在以上理論基礎(chǔ)上建立并求解了峰谷分時(shí)電價(jià)優(yōu)化模型,采用遺傳算法對(duì)模型進(jìn)行優(yōu)化。優(yōu)化后等效負(fù)荷曲線的負(fù)荷率升高,峰谷差降低,同時(shí)負(fù)荷曲線與光伏發(fā)電曲線相關(guān)性也有明顯提升。最后,算例采用多種目標(biāo)函數(shù)進(jìn)行優(yōu)化,驗(yàn)證了本文模型優(yōu)化等效負(fù)荷曲線的效果。
[Abstract]:As a common renewable energy, solar energy has gradually developed into a major alternative energy for fossil energy, and has been used more and more widely. With the continuous improvement of the technical level, the cost of photovoltaic power generation presents a rapid decline trend, and photovoltaic power generation will occupy a more and more important position. But the output of photovoltaic power supply is random, fluctuant and intermittent, which has a negative impact on the system. In order to enhance the ability of power system in photovoltaic power generation, through the use of tou pricing measures to adjust the equivalent load curve, as a basic means of demand side management, it can guide the user to change the way of using electricity, resulting in correction effect on load curve. At the same time in order to optimize the photovoltaic consumption and load curve of the peak, the equivalent load curve of load curve minus the PV curve obtained as the optimization object of tou tariff. This method can effectively improve the correlation between the PV output curve and the load curve. After proper assumptions and simplification, the load transfer model based on the principle of consumer psychology is deduced from the traditional electricity price elasticity matrix, which accurately depicts the response process of users to electricity price changes. The basis is provided for the optimal calculation of peak - valley time - sharing price. Reasonable time division has laid the foundation for the time - sharing price of peak and valley. In this paper, the fuzzy clustering method is used to divide the equivalent load curve into periods, and the semi trapezoid membership function is used to establish fuzzy relation. The fuzzy equivalence matrix is obtained by transitive closure method, and then the peak and valley period is divided by fuzzy clustering based on equivalence relation. This method can better reflect the peak and valley characteristics of each load point. On the basis of the above theory, the optimization model of peak and valley time price is established and solved, and the genetic algorithm is used to optimize the model. After the optimization, the load rate of the equivalent load curve increases, the peak and valley difference decreases, and the correlation between the load curve and the photovoltaic power generation curve also improves obviously. Finally, a number of objective functions are used to optimize the example, and the effect of the model to optimize the equivalent load curve is verified.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM73;TM615

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