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  本文關(guān)鍵詞：微網(wǎng)綜合效益分析與能量優(yōu)化調(diào)度研究　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 微網(wǎng) 能量優(yōu)化調(diào)度 預(yù)測誤差 改進粒子群算法 容量優(yōu)化配置 二層規(guī)劃 綜合效益分析

【摘要】：隨著我國經(jīng)濟快速發(fā)展,對于能源的需求與日俱增,而傳統(tǒng)化石能源日益枯竭,合理高效的開發(fā)利用清潔綠色能源迫在眉睫。微網(wǎng)作為綠色分布式能源的有效接入方式,正日益引起全世界的關(guān)注。 微網(wǎng)作為一種新型供能系統(tǒng),其調(diào)度策略與傳統(tǒng)電網(wǎng)有很大的不同,因此研究微網(wǎng)能量優(yōu)化調(diào)度對于實現(xiàn)其安全、可靠、經(jīng)濟和高效運行具有重要意義。本文針對并網(wǎng)模式下的微網(wǎng)能量優(yōu)化調(diào)度問題,建立了含多種分布式發(fā)電的微網(wǎng)能量優(yōu)化調(diào)度模型,該模型通過對光伏、風(fēng)電功率和負(fù)荷預(yù)測誤差進行概率建模,并將其轉(zhuǎn)化為各可控微電源的出力約束。將模型中大量約束條件處理成一個新的目標(biāo),從而將所建的微網(wǎng)能量優(yōu)化調(diào)度模型轉(zhuǎn)化為雙目標(biāo)模型,采用粒子群優(yōu)化算法進行求解,通過在求解過程中引入多父體單形雜交算子,避免粒子群算法的早熟收斂,同時使得算法能夠跳出局部最優(yōu),從而得到微網(wǎng)能量調(diào)度的優(yōu)化結(jié)果；通過典型微網(wǎng)夏冬場景的對比分析,結(jié)果表明本文所提微網(wǎng)能量優(yōu)化調(diào)度模型具有更高的經(jīng)濟性和可靠性。 微網(wǎng)具有靈活配置資源和能源高效清潔利用的優(yōu)勢,因此如何充分發(fā)揮容量配置和優(yōu)化運行的潛力,準(zhǔn)確地進行微網(wǎng)綜合效益評估對微網(wǎng)規(guī)劃和運行都具有重要指導(dǎo)意義。本文建立了協(xié)調(diào)考慮微網(wǎng)容量配置和優(yōu)化運行,包括經(jīng)濟、環(huán)境、網(wǎng)損和可靠性方面的微網(wǎng)綜合效益評估二層規(guī)劃模型,并給出了基于粒子群優(yōu)化算法的求解方法。通過對并網(wǎng)和孤島模式下的微網(wǎng)典型應(yīng)用場景的仿真計算,并與傳統(tǒng)分供形式的效益進行對比,結(jié)果表明本文的模型和方法能夠給出不同應(yīng)用場景下最優(yōu)的微網(wǎng)容量配置方案,及相應(yīng)的綜合效益分析結(jié)果,同時還對影響微網(wǎng)綜合效益的關(guān)鍵因素進行了靈敏度分析。
[Abstract]:With the rapid development of China's economy, the demand for energy is increasing day by day, while the traditional fossil energy is increasingly depleted. It is urgent to develop and utilize clean green energy reasonably and efficiently. As an effective access mode of green distributed energy, microgrid is attracting more and more attention all over the world. As a new type of energy supply system, the scheduling strategy of microgrid is very different from that of traditional power grid, so it is safe and reliable to study the optimal scheduling of micro-grid energy. Economic and efficient operation is of great significance. In order to solve the problem of microgrid energy optimal scheduling in grid-connected mode, a microgrid energy optimal scheduling model with a variety of distributed generation is established in this paper. The probabilistic modeling of wind power and load forecasting error is carried out, which is transformed into the output constraint of each controllable micro-power supply, and a large number of constraints in the model are treated as a new target. Thus the energy optimal scheduling model is transformed into a two-objective model, particle swarm optimization algorithm is used to solve the problem, and a multi-parent simplex hybrid operator is introduced in the process of solution. To avoid premature convergence of particle swarm optimization (PSO), the algorithm can jump out of the local optimum and get the optimal result of energy scheduling of microgrid. Through the comparison and analysis of typical microgrid in summer and winter, the results show that the energy optimal scheduling model proposed in this paper is more economical and reliable. Microgrid has the advantages of flexible allocation of resources and efficient and clean utilization of energy, so how to give full play to the potential of capacity allocation and optimal operation. It is very important for planning and operation of microgrid to evaluate the comprehensive benefit of microgrid accurately. In this paper, we establish a coordinated consideration of capacity allocation and optimal operation of microgrid, including economy and environment. The two-layer programming model of microgrid comprehensive benefit evaluation in terms of network loss and reliability is presented, and the solution method based on particle swarm optimization algorithm is given. The simulation of typical application scenarios of microgrid in grid-connected and islanding mode is carried out. The results show that the model and method in this paper can give the optimal micro-grid capacity configuration scheme under different application scenarios and the corresponding comprehensive benefit analysis results. At the same time, the sensitivity analysis of the key factors that affect the comprehensive benefit of microgrid is carried out.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM73

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本文編號：1441645