【摘要】：近年來隨著全球化石能源的驟減和環(huán)境問題的凸顯,由風(fēng)能、太陽能等可再生能源及儲能裝置組成的微電網(wǎng)得到較大的發(fā)展�？v觀能源發(fā)展趨勢,隨著一系列國家節(jié)能減排政策相繼制定實施,分布式能源和微電網(wǎng)的研究與普及已上升到國家的戰(zhàn)略高度,未來必然會有越來越多的新能源接入大電網(wǎng)。微電網(wǎng)為實現(xiàn)經(jīng)濟最優(yōu),需要計算得到微電網(wǎng)協(xié)調(diào)控制的控制量。由于微電網(wǎng)中分布式電源的滲透率越來越高,其經(jīng)濟優(yōu)化也越來越復(fù)雜,因此需要對微電網(wǎng)能量協(xié)調(diào)優(yōu)化的算法進行更進一步的研究。本文圍繞微電網(wǎng)系統(tǒng)的協(xié)調(diào)優(yōu)化和能量控制展開研究,主要研究內(nèi)容有：(1)研究國內(nèi)外關(guān)于微電網(wǎng)發(fā)展的狀況,從技術(shù)角度歸納微電網(wǎng)研究中的核心。介紹微電網(wǎng)運行控制的基礎(chǔ)理論知識。(2)對風(fēng)儲荷微電網(wǎng)模型中的風(fēng)力發(fā)電機和蓄電池微源建立能滿足實際約束的外特性數(shù)學(xué)模型。考慮實時電價、風(fēng)功率預(yù)測以及負荷狀態(tài)構(gòu)建微電網(wǎng)運行費用最小目標函數(shù),引入帶殘差修正的灰色預(yù)測模型和支持向量機模型,輸出具體時段的風(fēng)荷能量預(yù)測信息。(3)基于滾動時域優(yōu)化基本框架,采用對混合整數(shù)線性規(guī)劃法(MILP)、遺傳算法(GA)和改進的復(fù)雜過程全局優(yōu)化進化算法(IEACOP)微電網(wǎng)復(fù)雜非線性協(xié)調(diào)控制模型進行預(yù)測時域最優(yōu)求解。(4)明確了一種微電網(wǎng)協(xié)調(diào)控制系統(tǒng)平臺的設(shè)計目標和體系結(jié)構(gòu),并對系統(tǒng)中應(yīng)用軟件的設(shè)計進行了闡述。微電網(wǎng)能量協(xié)調(diào)優(yōu)化管理本質(zhì)上是離散、非線性、多目標的優(yōu)化組合問題,本文研究了更適應(yīng)于微電網(wǎng)的預(yù)測方法和控制策略。實驗結(jié)果表明,所用方法充分發(fā)揮了滾動時域優(yōu)化與智能算法的優(yōu)勢,滿足微電網(wǎng)各組成部分之間能量協(xié)調(diào)控制和經(jīng)濟最優(yōu)的要求,能夠有效優(yōu)化風(fēng)儲網(wǎng)荷之間的能量走向及合理調(diào)度,為微電網(wǎng)系統(tǒng)能量協(xié)調(diào)優(yōu)化提供了新的研究思路。
[Abstract]:In recent years, with the rapid decline of global fossil energy and the highlight of environmental problems, the micro-grid composed of renewable energy and energy storage devices such as wind and solar energy has been greatly developed. Throughout the energy development trend, with a series of national energy saving and emission reduction policies being formulated and implemented one after another, the research and popularization of distributed energy and microgrid has risen to the strategic level of the country, and more new energy sources will inevitably be connected to the large power grid in the future. In order to realize economic optimization, microgrid need to calculate the control quantity of microgrid coordination control. Because the permeability of distributed power supply in microgrid is getting higher and higher, and its economic optimization is more and more complex, it is necessary to further study the energy coordination optimization algorithm of microgrid. This paper focuses on the coordination optimization and energy control of microgrid system. The main contents are as follows: (1) the development of microgrid at home and abroad is studied and the core of microgrid research is summarized from the point of view of technology. The basic theory of micro-grid operation control is introduced. (2) the external characteristic mathematical model of wind turbine and battery micro-source in wind storage micro-grid model is established, which can satisfy the practical constraints. Considering real-time electricity price, wind power forecast and load state, the minimum objective function of operation cost of microgrid is constructed. The grey forecasting model with residual error correction and support vector machine model are introduced. Output wind load energy prediction information for specific time period. (3) based on the basic framework of rolling time domain optimization, the mixed integer linear programming (MILP),) method is adopted. The genetic algorithm (GA) and the improved global optimization evolutionary algorithm (IEACOP) are used to solve the predictive time-domain optimal control model of complex nonlinear coordination control for microgrid. (4) A platform for micro-grid coordinated control system is defined. The design objectives and architecture of the At the same time, the design of application software in the system is described. In essence, the optimal management of microgrid energy coordination is a discrete, nonlinear, multi-objective optimal combination problem. In this paper, the predictive method and control strategy which are more suitable for microgrid are studied. The experimental results show that the proposed method gives full play to the advantages of the rolling time domain optimization and the intelligent algorithm, and meets the requirements of energy coordination control and economic optimization among the components of the microgrid. It can effectively optimize the energy trend and reasonable dispatching between the wind storage network and load, which provides a new research idea for the energy coordination optimization of the microgrid 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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