本文選題：需求響應(yīng) + 潛力評(píng)估��； 參考：《華北電力大學(xué)(北京)》2017年碩士論文

【摘要】：需求響應(yīng)是電力市場(chǎng)環(huán)境下提高用電效率,優(yōu)化資源配置和減少環(huán)境污染的重要技術(shù)手段。隨著我國(guó)電改的逐漸深入以及資源和環(huán)保壓力的不斷加大,需求響應(yīng)的價(jià)值得到越來(lái)越多的關(guān)注和認(rèn)可。本文以佛山全國(guó)電力需求側(cè)管理綜合試點(diǎn)城市建設(shè)為切入點(diǎn),旨在通過(guò)開(kāi)展需求響應(yīng)關(guān)鍵技術(shù)研究和平臺(tái)架構(gòu)設(shè)計(jì)與建設(shè),摸索適合我國(guó)國(guó)情和地方特點(diǎn)的需求響應(yīng)技術(shù)路線。本文主要圍繞著基于激勵(lì)機(jī)制和面向工業(yè)負(fù)荷的需求響應(yīng)關(guān)鍵技術(shù)和平臺(tái)實(shí)現(xiàn)技術(shù)開(kāi)展研究。首先基于統(tǒng)計(jì)學(xué)和聚類(lèi)算法分析了佛山電網(wǎng)負(fù)荷與主要行業(yè)負(fù)荷的特性,針對(duì)電網(wǎng)負(fù)荷高峰時(shí)段提出了整體負(fù)荷轉(zhuǎn)移的潛力評(píng)估方法。其次,通過(guò)分析需求響應(yīng)資源的環(huán)境、社會(huì)和經(jīng)濟(jì)效益等,給出了需求響應(yīng)資源價(jià)值綜合評(píng)價(jià)指標(biāo),并給出了多目標(biāo)優(yōu)化的參與需求響應(yīng)用戶(hù)遴選模型和算例分析。第三,在分析比較現(xiàn)有基線負(fù)荷算法的基礎(chǔ)上,提出了針對(duì)過(guò)程監(jiān)測(cè)的基線負(fù)荷算法,通過(guò)對(duì)用戶(hù)負(fù)荷先聚類(lèi),再利用匹配日法提高基線負(fù)荷算法的準(zhǔn)確性。最后,從需求響應(yīng)業(yè)務(wù)流程需求出發(fā),提出了佛山電力需求響應(yīng)平臺(tái)的總體設(shè)計(jì)方案,包括業(yè)務(wù)架構(gòu)、應(yīng)用架構(gòu)的詳細(xì)功能設(shè)計(jì),并提出了電網(wǎng)和用戶(hù)數(shù)據(jù)信息交互需求。在以上研究基礎(chǔ)上,佛山開(kāi)發(fā)了電力需求響應(yīng)平臺(tái),并開(kāi)展了多次需求響應(yīng)試運(yùn)行測(cè)試。測(cè)試結(jié)果表明,需求響應(yīng)平臺(tái)的智能決策和業(yè)務(wù)流程等功能運(yùn)行正常,完成了需求響應(yīng)負(fù)荷調(diào)控目標(biāo),而且需求響應(yīng)各方的信息互動(dòng)效果良好,也進(jìn)一步驗(yàn)證了佛山的電力需求響應(yīng)模式和技術(shù)路線的可行性。
[Abstract]:Demand response is an important technical means to improve power efficiency, optimize resource allocation and reduce environmental pollution. With the deepening of electricity reform in our country and the increasing pressure of resources and environmental protection, the value of demand response has been paid more and more attention and recognition. Based on the national power demand side management pilot city construction in Foshan, this paper aims to explore the technical route of demand response technology suitable for China's national conditions and local characteristics through the research on the key technology of demand response and the design and construction of platform architecture. This paper focuses on the key technologies of demand response and platform implementation based on incentive mechanism and industrial load. Firstly, based on statistics and clustering algorithm, the characteristics of load and main industry load in Foshan power network are analyzed, and a potential assessment method of load transfer is proposed for peak period of power grid load. Secondly, by analyzing the environment, society and economic benefit of the demand response resource, the comprehensive evaluation index of the demand response resource value is given, and the multi-objective optimization model of participating in the demand response user selection model and the example analysis are given. Thirdly, based on the analysis and comparison of existing baseline load algorithms, a baseline load algorithm for process monitoring is proposed, which improves the accuracy of the baseline load algorithm by clustering the user load first and then using the matching day method to improve the accuracy of the baseline load algorithm. Finally, the overall design scheme of Foshan electric power demand response platform is put forward, which includes the business architecture, the detailed function design of the application architecture, and the interactive requirements of power grid and user data information. Based on the above research, Foshan Power demand response platform has been developed, and several test tests have been carried out. The test results show that the intelligent decision-making and business process functions of the demand response platform are running normally, and the requirements response load control target is fulfilled, and the information interaction of the requirement response parties is good. It also verifies the feasibility of power demand response mode and technical route in Foshan.
【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(lèi)號(hào)】：TM73

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