本文選題：微電網(wǎng)群　切入點：分布式優(yōu)化　出處：《華北電力大學(北京)》2017年碩士論文　論文類型：學位論文

【摘要】：風機(Wind Turbine,WT)和光伏(Photovoltaic,PV)等分布式電源的不斷發(fā)展,給電力系統(tǒng)的穩(wěn)定運行帶來越來越大的威脅。由多個微電網(wǎng)(Microgrid,MG)組成的微電網(wǎng)群,為風光等分布式能源的消納提供了有利的環(huán)境。因而需要對微電網(wǎng)群的運行進行優(yōu)化。根據(jù)微電網(wǎng)群是否聯(lián)網(wǎng),將微電網(wǎng)群分為并網(wǎng)型和離網(wǎng)型兩種分別進行研究。對于并網(wǎng)型微電網(wǎng)群,在分布式電源上網(wǎng)電價低于市電電價的環(huán)境下,在微電網(wǎng)群實現(xiàn)電能共享,可以獲得比單獨運行更好的效益。根據(jù)微電網(wǎng)群中運營商的不同作用,分為獨立系統(tǒng)運營商(Independent System Operator,ISO)以及屋頂租賃兩種運營模式。在ISO運營模式中,提出了一種基于分布式電能供需比(Supply and Demand Ratio,SDR)的內(nèi)部電價模型�；诮�(jīng)濟性和舒適度,提出了用戶的效用成本模型。分析用戶的需求響應(Demand Response,DR)行為,提出了基于非合作博弈的DR模型,并提出了分布式優(yōu)化算法對該模型進行求解;在屋頂租賃模式中,提出了一種基于分布式電能需供比(Demand and Supply Ratio,DSR)的內(nèi)部電價模型。分析了在該電價模型下用戶DR行為,提出了基于非合作博弈的DR模型。最后,利用分布式求解算法對模型進行了求解。算例結(jié)果表明:并網(wǎng)型微電網(wǎng)群的分布式優(yōu)化運行方法能有效提高微電網(wǎng)群各方收益,提升了電量共享水平,驗證了方法的有效性。對于離網(wǎng)型微電網(wǎng)群,首先對MG優(yōu)化調(diào)度的基本模型進行了說明;其次,介紹了各分布式電源的基本模型,建立面向?qū)崟r優(yōu)化調(diào)度的儲能系統(tǒng)(Battery Energy Storage System,BESS)成本模型,然后,提出了一種基于交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)的微電網(wǎng)群分布式優(yōu)化調(diào)度方法。最后,通過算例驗證了算法的有效性。
[Abstract]:The continuous development of distributed generation, such as Wind Turbine (WT) and photovoltaic photovoltaic (PVV), has brought more and more threats to the stable operation of power system. Provides an enabling environment for the absorption of distributed energy sources, such as wind, and therefore requires optimization of the operation of the microgrid cluster, depending on whether the microgrid cluster is connected, The microgrid cluster is divided into grid-connected type and off-grid type. For grid-connected micro-grid cluster, the power sharing is realized in the micro-grid group under the condition that the electricity price of distributed generation is lower than that of electricity price. According to the different roles of operators in the microgrid cluster, they can be divided into two operating modes: independent System operator ISO and roof lease. In ISO operation mode, This paper presents an internal electricity price model based on distributed supply and Demand demand (SDR). Based on economy and comfort, the utility cost model of users is proposed, and the demand response behavior of users is analyzed. In this paper, a Dr model based on non-cooperative game is proposed, and a distributed optimization algorithm is proposed to solve the model. In this paper, an internal pricing model based on distributed demand and Supply Ratio DSRs is proposed. The user's Dr behavior under the model is analyzed, and a Dr model based on non-cooperative game is proposed. The distributed solution algorithm is used to solve the model. The results show that the distributed optimal operation method of grid-connected microgrid cluster can effectively improve the income of all parties and improve the level of electricity sharing. The effectiveness of the method is verified. For the off-grid microgrid cluster, the basic model of MG optimal dispatching is first explained, and the basic models of distributed power generation are introduced. The cost model of Battery Energy Storage system for real-time optimal dispatching is established. Then, a distributed optimal dispatching method for microgrid group based on alternating direction multiplier method is proposed. The effectiveness of the algorithm is verified by an example.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM727

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