本文選題：微網(wǎng)　切入點(diǎn)：動態(tài)經(jīng)濟(jì)調(diào)度　出處：《西南交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：能源問題和環(huán)境問題是困擾全球的一個大問題,為推動和鼓勵可再生能源的發(fā)展,“十二五”規(guī)劃把微網(wǎng)的發(fā)展作為我國配電網(wǎng)的重要發(fā)展之一。然而隨著微網(wǎng)的快速發(fā)展,微網(wǎng)的取得了顯著效果。由于微網(wǎng)中的各微源具有數(shù)量多和小型化等特點(diǎn),基于微網(wǎng)的經(jīng)濟(jì)性調(diào)度成為了國內(nèi)外學(xué)者的研究重點(diǎn)。本文首先分析了微網(wǎng)內(nèi)的各微源的基本原理以及運(yùn)行特性；然后對熱電聯(lián)供系統(tǒng)的微網(wǎng)在并網(wǎng)方式和孤網(wǎng)方式運(yùn)行時,綜合考慮運(yùn)行成本、環(huán)境污染成本以及綜合效益為目標(biāo)函數(shù)建立了動態(tài)經(jīng)濟(jì)調(diào)度模型,并給出了對應(yīng)的約束條件；接著,用最大滿意度法將多目標(biāo)動態(tài)經(jīng)濟(jì)調(diào)度問題轉(zhuǎn)化為非線性的單目標(biāo)優(yōu)化問題求解,采用模糊自修正粒子群優(yōu)化算法分別對微網(wǎng)系統(tǒng)處于并網(wǎng)運(yùn)行方式和孤網(wǎng)運(yùn)行方式下的多目標(biāo)優(yōu)化模型求解,并基于隸屬函數(shù)的模糊優(yōu)化理論對目標(biāo)函數(shù)以及約束條件進(jìn)行相應(yīng)的優(yōu)化,避免了優(yōu)化過程陷入局部最優(yōu)并加快了收斂速度。最后以一小型微網(wǎng)向北方某工廠供電為例,分別在并網(wǎng)模式和孤網(wǎng)模式下進(jìn)行24小時優(yōu)化調(diào)度仿真,并求出對應(yīng)每一時段的各微源出力情況以及對應(yīng)的發(fā)電成本、環(huán)境污染成本以及綜合效益,同時將本文提出的優(yōu)化算法與基本粒子群優(yōu)化算法進(jìn)行了仿真對比分析；算例仿真結(jié)果表明,在采用模糊自修正粒子群算法求解給出的各微源出力,對應(yīng)一個調(diào)度周期時段內(nèi)的各項(xiàng)成本以及整個調(diào)度周期內(nèi)的總成本；驗(yàn)證了本文提出的模型和優(yōu)化算法的有效性,采用多目標(biāo)動態(tài)經(jīng)濟(jì)調(diào)度能取得綜合最優(yōu)的效果,對工程實(shí)際應(yīng)用有一定的指導(dǎo)意義。
[Abstract]:Energy and environment problems are one of the major problems in the world. In order to promote and encourage the development of renewable energy, the 12th Five-Year Plan regards the development of micro-grid as one of the important development of distribution network in China. However, with the rapid development of micro-grid, Due to the large number and miniaturization of the microsources in the microgrid, Economic scheduling based on microgrid has become the research focus of scholars at home and abroad. Firstly, the basic principle and operation characteristics of microsources in microgrid are analyzed in this paper. Considering the operation cost, the environmental pollution cost and the comprehensive benefit as the objective function, the dynamic economic scheduling model is established, and the corresponding constraints are given. The multi-objective dynamic economic scheduling problem is transformed into a nonlinear single-objective optimization problem by using the maximum satisfaction method. The fuzzy self-correction particle swarm optimization algorithm is used to solve the multi-objective optimization model of microgrid system under grid-connected operation mode and solitary network operation mode respectively. Based on the fuzzy optimization theory of membership function, the objective function and the constraint conditions are optimized accordingly, which avoids the optimization process falling into local optimum and accelerates the convergence speed. Finally, a small microgrid is used as an example to supply power to a factory in the north. In the grid-connected mode and the isolated mode, the simulation of 24-hour optimal dispatching is carried out, and the corresponding micro-source output, the corresponding generation cost, the environmental pollution cost and the comprehensive benefit of each period of time are obtained. At the same time, the optimization algorithm proposed in this paper is compared with the basic particle swarm optimization algorithm, and the simulation results show that the fuzzy self-correction particle swarm optimization algorithm is used to solve the given micro-source output force. The effectiveness of the proposed model and optimization algorithm is verified, and the multi-objective dynamic economic scheduling can achieve the comprehensive optimal effect, which corresponds to the cost of each period of a scheduling cycle and the total cost of the whole scheduling cycle, and the effectiveness of the proposed model and the optimization algorithm are verified. It has certain guiding significance to the practical application of engineering.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM73

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