【摘要】：當(dāng)前我國正處于電力市場化改革的過渡時(shí)期,我國部分地區(qū)須繼續(xù)沿用現(xiàn)有的電力市場模式和電價(jià)形成機(jī)制,而部分地區(qū)將持續(xù)推進(jìn)電價(jià)的市場化改革試點(diǎn),未來一段時(shí)間內(nèi)電網(wǎng)直接購售電和電網(wǎng)轉(zhuǎn)售電兩種不同的交易模式將在我國電力市場上同時(shí)存在,并持續(xù)影響著重要市場參與方工業(yè)用戶的利益。因此本文以工業(yè)用戶在不同交易模式下的電價(jià)為研究對(duì)象,在不同的交易模式下引入峰谷分時(shí)電價(jià)的思想,對(duì)工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型進(jìn)行研究。為工業(yè)用戶在新電改過渡時(shí)期的電價(jià)優(yōu)化及政府電價(jià)指導(dǎo)政策的制定提供理論支撐。論文的主要內(nèi)容包括四個(gè)部分:第一,梳理了電力市場主要模式,分析了不同交易模式的特點(diǎn)以及在各交易模式下工業(yè)用戶電價(jià)的特征并制定了各交易模式下工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型的優(yōu)化原則。第二,采用LSSVM回歸算法構(gòu)建了工業(yè)用戶需求響應(yīng)函數(shù),并以峰時(shí)段平均負(fù)荷最小及峰谷負(fù)荷差最小為優(yōu)化目標(biāo)建立了電網(wǎng)直接購售電模式下工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型。在此基礎(chǔ)上,核算了售電側(cè)工業(yè)用戶峰谷分時(shí)電價(jià)實(shí)施所引起的長期及短期社會(huì)效益的增量,以長期社會(huì)最大化為優(yōu)化目標(biāo),以短期社會(huì)最大化為約束條件,建立了發(fā)售電聯(lián)動(dòng)的峰谷分時(shí)電價(jià)優(yōu)化模型。第三,建立了電網(wǎng)轉(zhuǎn)售電模式下日前市場電價(jià)模型,以工業(yè)用戶邊際收益及發(fā)電企業(yè)邊際成本為基礎(chǔ),按照峰、平、谷三時(shí)段對(duì)工業(yè)用戶和發(fā)電企業(yè)的報(bào)價(jià)模型進(jìn)行了構(gòu)建,并以交易各方社會(huì)總效益最大化為優(yōu)化目標(biāo)設(shè)定市場出清條件。然后,采用模糊Q算法,建立了各時(shí)段電價(jià)動(dòng)態(tài)均衡模型,引入限制性價(jià)格波動(dòng)幅度作為各時(shí)段的市場出清價(jià)格的約束條件,構(gòu)建了工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型。第四,分別對(duì)電網(wǎng)直接購售電交易模式下工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型及電網(wǎng)轉(zhuǎn)售電交易模式下工業(yè)用戶峰谷分時(shí)電價(jià)優(yōu)化模型進(jìn)行了仿真分析。在電網(wǎng)直接購售電模式下,得到了各電壓等級(jí)下售電側(cè)最優(yōu)峰谷分時(shí)電價(jià)方案,并且得到了可以使得發(fā)電、電網(wǎng)及用戶在短期內(nèi)利益均不受損的發(fā)電側(cè)峰谷分時(shí)電價(jià)方案集。在電網(wǎng)轉(zhuǎn)售電交易模式下,得到了在不進(jìn)行限價(jià)下的峰谷分時(shí)市場出清價(jià)格。并得到了在進(jìn)行政府價(jià)格優(yōu)化后的最優(yōu)電價(jià)方案,計(jì)算了社會(huì)總效益。
[Abstract]:At present, China is in the transitional period of power marketization reform. Some areas of our country should continue to follow the existing electricity market model and electricity price formation mechanism, and some regions will continue to promote the pilot market reform of electricity price. In the future, two different trading modes, direct power purchase and resale, will exist at the same time in China's power market, and will continue to affect the interests of industrial users of important market participants. Therefore, this paper takes the electricity price of industrial users under different trading modes as the research object, and introduces the idea of peak and valley time-sharing electricity price under different trading modes, and studies the optimization model of peak-valley time-sharing electricity price of industrial users. It provides theoretical support for the optimization of electricity price and the formulation of government electricity price guidance policy for industrial users in the transition period of new power reform. The main content of this paper includes four parts: first, it combs the main mode of power market. This paper analyzes the characteristics of different trading modes and the characteristics of industrial user electricity price under each transaction mode, and formulates the optimization principle of industrial user peak and valley time-sharing electricity price optimization model under each transaction mode. Secondly, the LSSVM regression algorithm is used to construct the demand response function of industrial users, and the optimization model of peak-valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale is established, taking the minimum average load of peak time and the minimum load difference of peak and valley as the optimization objectives. On this basis, the increment of long-term and short-term social benefits caused by the implementation of peak and valley time-sharing electricity prices of industrial users on the power sales side is calculated, with the long-term social maximization as the optimization goal and the short-term social maximization as the constraint condition. The peak and valley time-sharing electricity price optimization model of sale power linkage is established. Thirdly, the pre-day market electricity price model under the power grid resale mode is established. Based on the marginal income of industrial users and the marginal cost of power generation enterprises, the quotation model of industrial users and power generation enterprises is constructed according to the peak, flat and valley periods. In order to maximize the total social benefits of the parties to the transaction, the market clearing conditions are set for the optimization goal. Then, the dynamic equilibrium model of electricity price in each period is established by using fuzzy Q algorithm, and the restricted price fluctuation amplitude is introduced as the constraint condition of market clearing price in each period, and the optimization model of peak and valley time-sharing electricity price for industrial users is constructed. Fourth, the optimization model of peak and valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale of power grid and the optimization model of peak and valley time-sharing price of industrial users under the mode of power grid resale transaction are simulated and analyzed respectively. Under the mode of direct power purchase and sale, the optimal peak and valley time-sharing electricity price scheme for each voltage level is obtained, and a set of peak-valley time-sharing electricity price schemes for power generation, power grid and users are obtained, which can make the interests of power generation and users undamaged in a short period of time. In the power grid resale transaction mode, the peak and valley time-sharing market clearing price is obtained without price limit. The optimal electricity price scheme after government price optimization is obtained, and the total social benefit is calculated.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F426.61

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 喻小寶;電力市場環(huán)境下售電公司購售電交易優(yōu)化模型研究[D];華北電力大學(xué)(北京);2018年

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本文編號(hào)：2497226