本文選題：微網(wǎng) + 能量?jī)?yōu)化管理��； 參考：《華北電力大學(xué)》2015年碩士論文

【摘要】：隨著全世界范圍內(nèi)能源與環(huán)境問(wèn)題的凸顯,風(fēng)能、太陽(yáng)能等可再生能源發(fā)電得到蓬勃發(fā)展,為了適應(yīng)可再生能源分布式發(fā)電的規(guī)�；�,微網(wǎng)技術(shù)應(yīng)運(yùn)而生。微網(wǎng)可有效整合各種分布式發(fā)電技術(shù),充分發(fā)揮新能源發(fā)電和智能電網(wǎng)所帶來(lái)的經(jīng)濟(jì)效益和環(huán)境效益,可更好地滿足用戶對(duì)電能質(zhì)量和供電可靠性更高的要求,已成為智能電網(wǎng)研究與建設(shè)中一個(gè)重要組成部分。其中,微網(wǎng)能量?jī)?yōu)化管理技術(shù)是保障微網(wǎng)安全、可靠、經(jīng)濟(jì)、高效、智能運(yùn)行的關(guān)鍵。本文圍繞微網(wǎng)能量?jī)?yōu)化管理技術(shù)展開(kāi)了研究,首先全面地介紹了該課題的研究背景及其意義、國(guó)內(nèi)外微網(wǎng)發(fā)展動(dòng)態(tài)和微網(wǎng)能量?jī)?yōu)化管理研究現(xiàn)狀;在綜合考慮了燃料成本、運(yùn)行維護(hù)成本、蓄電池折舊成本及向大電網(wǎng)購(gòu)電成本的基礎(chǔ)上,以微網(wǎng)總運(yùn)行成本最低為優(yōu)化目標(biāo),建立了微網(wǎng)經(jīng)濟(jì)運(yùn)行調(diào)度數(shù)學(xué)模型,提出了一種基于蝙蝠優(yōu)化算法的微網(wǎng)經(jīng)濟(jì)運(yùn)行調(diào)度方法;根據(jù)微網(wǎng)運(yùn)行特性,并考慮微網(wǎng)運(yùn)行不同時(shí)間段面之間的內(nèi)在聯(lián)系,在滿足負(fù)荷需求、微網(wǎng)系統(tǒng)穩(wěn)定運(yùn)行等前提條件下,以運(yùn)行成本、環(huán)境成本最低為目標(biāo),建立了微網(wǎng)動(dòng)態(tài)優(yōu)化運(yùn)行調(diào)度數(shù)學(xué)模型,提出將蝙蝠優(yōu)化算法二進(jìn)制化,實(shí)現(xiàn)微網(wǎng)動(dòng)態(tài)優(yōu)化運(yùn)行調(diào)度;針對(duì)風(fēng)電、光伏出力和負(fù)荷功率的不確定性,將其納入到優(yōu)化模型的建立,通過(guò)不確定性變量與目標(biāo)函數(shù)之間的內(nèi)在確定性關(guān)系,提出將計(jì)算量小、精度高的三點(diǎn)估計(jì)法聯(lián)合尋優(yōu)性能優(yōu)良的改進(jìn)黑洞優(yōu)化算法,同時(shí)借助Cornish-Fisher級(jí)數(shù)展開(kāi),實(shí)現(xiàn)微網(wǎng)系統(tǒng)的優(yōu)化運(yùn)行及其不確定性分析。
[Abstract]:With the worldwide energy and environmental problems prominent, renewable energy generation such as wind energy, solar energy and other renewable energy have been booming. In order to adapt to the large-scale utilization of renewable energy distributed generation, micro-grid technology came into being. Microgrid can effectively integrate all kinds of distributed generation technologies, give full play to the economic and environmental benefits brought by new energy generation and smart grid, and can better meet the higher requirements of power quality and reliability of power supply. It has become an important part in the research and construction of smart grid. Among them, microgrid energy optimization management technology is the key to ensure the security, reliability, economy, efficiency and intelligent operation of microgrid. This paper focuses on the research of microgrid energy optimization management technology. Firstly, it introduces the research background and significance of this topic, the development trend of microgrid and the research status of microgrid energy optimization management, and considers the fuel cost comprehensively. On the basis of operation and maintenance cost, battery depreciation cost and electricity purchase cost from large power network, a mathematical model of microgrid economic operation dispatching is established, with the minimum total operation cost of microgrid as the optimization goal. In this paper, a bat optimization algorithm based microgrid economic operation scheduling method is proposed. According to the characteristics of microgrid operation and considering the internal relations between different time periods of microgrid operation, it can meet the demand of load. On the premise of stable operation of microgrid system, aiming at the lowest running cost and environment cost, the mathematical model of dynamic optimal operation scheduling of microgrid is established, and the binary algorithm of bat optimization is put forward to realize the dynamic optimal operation scheduling of microgrid. Aiming at the uncertainty of wind power, photovoltaic output force and load power, the uncertainty of wind power, photovoltaic output force and load power is incorporated into the establishment of optimization model. Through the inherent deterministic relationship between uncertain variables and objective function, it is put forward that the calculation cost is small. The three-point estimation method with high precision is combined with the improved black hole optimization algorithm with excellent performance. At the same time, the optimal operation and uncertainty analysis of the micro-grid system are realized by Cornish-Fisher series expansion.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM73

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