本文關(guān)鍵詞：基于主動負(fù)荷控制的用戶側(cè)微電網(wǎng)能量優(yōu)化的研究　出處：《北方工業(yè)大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 用戶側(cè)微電網(wǎng) 主動負(fù)荷 需求響應(yīng) 納什談判博弈 優(yōu)化運行

【摘要】：近年來,隨著智能電網(wǎng)技術(shù)的快速發(fā)展和需求響應(yīng)的深入開展,在電能使用效率和電網(wǎng)與用戶的互動服務(wù)方面的開發(fā)空間越來越大。其中智能用電是解決這些領(lǐng)域中相關(guān)問題的關(guān)鍵所在,也是智能電網(wǎng)中的重要部分。與此同時,隨著分布式能源在居民側(cè)的普及和智能家電產(chǎn)業(yè)的發(fā)展,使得用戶側(cè)的用電方式更加靈活,也為智能用電開拓了新的路徑。從目前的研究來看,在智能用電技術(shù)的研究中,多數(shù)都集中在系統(tǒng)的終端設(shè)備的開發(fā)、網(wǎng)絡(luò)通信技術(shù)等硬件功能方面,而在家電或儲能等設(shè)備具體應(yīng)該如何運行上,還是過多地依賴用戶自主決定,沒有達(dá)到真正的“智能”。因此如何應(yīng)用電力需求響應(yīng)信息、設(shè)備參數(shù)、用戶個性化要求等相關(guān)功能數(shù)據(jù),使用戶更加主動地調(diào)節(jié)自身能源結(jié)構(gòu),更加經(jīng)濟合理的規(guī)劃用電就顯得尤為必要。本文的研究對象包含光伏、儲能和智能家電的用戶側(cè)微電網(wǎng),設(shè)計了一種基于主動負(fù)荷控制的優(yōu)化運行策略,通過該策略根據(jù)各類用電設(shè)備的特點有針對性地對其優(yōu)化,最終達(dá)到節(jié)能和經(jīng)濟的目的。文章首先介紹了相關(guān)理論基礎(chǔ),包括主動負(fù)荷技術(shù)、需求響應(yīng)相關(guān)內(nèi)容以及用戶側(cè)微電網(wǎng)能量管理,其中,主動負(fù)荷技術(shù)是智能用電的切入點,是用戶側(cè)微電網(wǎng)能量管理的物理基礎(chǔ)；需求響應(yīng)則是智能用電指導(dǎo)方向,屬于用戶側(cè)微電網(wǎng)能量管理的應(yīng)用部分；對于用戶側(cè)微電網(wǎng)能量管理著重介紹了能量管理系統(tǒng)中各個功能模塊的功能及特點。其次,本文詳細(xì)地對用戶側(cè)微電網(wǎng)中的各部分進(jìn)行了建模,包括拓?fù)浣Y(jié)構(gòu)、分布式電源以及參與優(yōu)化運行的幾種主動負(fù)荷的模型,結(jié)合用戶側(cè)微電網(wǎng)中各部分的模型特點提出了針對不同類型負(fù)荷的分步優(yōu)化策略,其中對于具備可調(diào)控負(fù)荷特性的溫控負(fù)荷,提出了一種基于納什談判理論的優(yōu)化策略,通過分析溫控負(fù)荷的使用滿意度和使用經(jīng)濟性之間的關(guān)系來制定其運行方案；對于電動汽車等可轉(zhuǎn)移負(fù)荷采用了最小化用電費用的優(yōu)化策略。最后,為了驗證所提方案的有效性設(shè)計了算例,并在MATLAB平臺中編程實現(xiàn),對于可調(diào)控負(fù)荷的優(yōu)化運行分別運用遺傳算法和fmincon函數(shù)求解并對結(jié)果進(jìn)行了對比分析,對于可轉(zhuǎn)移負(fù)荷的優(yōu)化運行使用了混合整數(shù)線性規(guī)劃法求解,同時為凸顯本文所提方案的優(yōu)越性,還進(jìn)行了相應(yīng)的對比。結(jié)果顯示所設(shè)計的方案能夠定量、動態(tài)地分析溫控負(fù)荷的經(jīng)濟性和滿意度并以此為依據(jù)對其進(jìn)行調(diào)節(jié),同時對于整個用戶側(cè)微電網(wǎng)系統(tǒng)可以有效調(diào)整負(fù)荷的峰谷關(guān)系,提高系統(tǒng)的運行收益。
[Abstract]:In recent years, with the rapid development of smart grid technology and the deepening of demand response, the development space of electric energy efficiency and interaction service between power grid and users is increasing. Intelligent power use is the key to solve the related problems in these fields, and it is also an important part of the smart grid. At the same time, with the popularity of distributed energy on the residential side and the development of smart home appliance industry, the user side power consumption mode is more flexible, and it also opens up a new path for intelligent power consumption. From the present study, the research of electricity technology in intelligence, most are concentrated in the terminal equipment of the system development, network communication technology and other hardware features, while the appliance or storage devices such as how should the specific operation, or too much reliance on the user to decide, there is no real "smart". Therefore, how to apply the power demand response information, equipment parameters, user personality requirements and other related functional data, it is particularly necessary for users to adjust their energy structure more actively, and make more economical and rational planning of electricity consumption. The research object of this paper contains photovoltaic, energy storage and smart appliances user side micro grid, designed an optimal operation strategy of active load control based on the strategy according to the characteristics of all kinds of electrical equipment for its optimization, finally achieve the purpose of saving energy and economy. This paper firstly introduces the related theoretical basis, including the active load demand response technology, relevant content and user side energy management of micro grid, the active load technology is the starting point of the intelligent electrical, physical basis of the user side of micro grid energy management; demand response is intelligent power direction application part to the user side micro grid energy management; to the user side of micro grid energy management focuses on the functions and characteristics of each functional module in energy management system. Secondly, each part of this paper on the user side in the micro grid are modeled, including topology, distributed power optimization and participate in the operation of several active load model, combined with the user side model characteristics of each part in the micro grid is proposed for the step-by-step optimization strategy of different types of load, the load can be controlled with temperature control load characteristics, proposes an optimization strategy based on Nash bargaining theory, through the analysis of temperature load satisfaction and using the relationship between the economy to develop its operation plan; load transfer uses the optimization strategy of electricity cost minimization for electric vehicles. Finally, design examples to verify the validity of the proposed scheme, and in the MATLAB platform programming for optimal operation of adjustable load respectively using genetic algorithm and fmincon function method and the results were compared and analyzed, for optimal operation of the load transfer using a mixed integer linear programming method, at the same time this paper highlights the superiority of the proposed scheme, also made the corresponding comparison. The results show that the designed scheme can quantitatively and dynamically analyze the economy and satisfaction of the temperature control load, and adjust it based on it. At the same time, for the whole user side microgrid system, it can effectively adjust the load peak and valley relationship and improve the operation benefit of the system.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TM73

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