本文關鍵詞：微電網(wǎng)電源的優(yōu)化配置及其經濟調度　出處：《上海電力學院》2014年碩士論文　論文類型：學位論文

  更多相關文章： 微電網(wǎng) 微電源優(yōu)化配置 混合量子遺傳算法 經濟調度 可平移負荷 動態(tài)規(guī)劃 序列二次規(guī)劃 預估校正內點算法

【摘要】：近幾年，，分布式發(fā)電大量興起，微電網(wǎng)以一種更為有效的方式集成了分布式發(fā)電、儲能設備及可控負荷，便于可再生能源的接入、提高能源利用效率和各種新興技術的融合，已經成為智能電網(wǎng)的重要組成部分。微電網(wǎng)電源的優(yōu)化配置是微電網(wǎng)規(guī)劃設計階段的核心內容，而如何實現(xiàn)能源資源的優(yōu)化分配與微電網(wǎng)的安全、可靠、經濟、環(huán)保運行又密切相關。因此，研究微電網(wǎng)電源的優(yōu)化配置及其經濟調度具有重要的現(xiàn)實意義。 本文在分析微電網(wǎng)電源優(yōu)化配置及其經濟調度問題國內外研究現(xiàn)狀和側重點的基礎上，首先建立了風力發(fā)電系統(tǒng)、光伏發(fā)電系統(tǒng)、燃料電池、柴油發(fā)電機組和儲能系統(tǒng)的穩(wěn)態(tài)輸出及成本模型，并給出了微電網(wǎng)內選擇各分布式電源及其并網(wǎng)方式的簡單建議；其次針對一個風光儲互補獨立型微電網(wǎng)，建立了其容量優(yōu)化配置模型，提出了基于混合量子遺傳算法的模型求解方法，算例中通過與典型量子遺傳算法和普通遺傳算法的收斂性對比分析，驗證了該算法在收斂速度和全局收斂性上的優(yōu)越性；然后從負荷可控性角度，將微電網(wǎng)內負荷分為重要負荷、可調整負荷和可平移負荷三類，針對可控性最強的一類可平移負荷建立了其數(shù)學模型并提出了負荷平移策略；最后，結合能源分配與負荷資源管理，考慮動態(tài)調度特點，研究了計及可平移負荷的微電網(wǎng)經濟優(yōu)化調度問題，將調度視為一類多階段決策問題，建立了其動態(tài)規(guī)劃模型，根據(jù)問題特殊性（目標函數(shù)二次，約束條件線性），又將動態(tài)規(guī)劃轉化為序列二次規(guī)劃，采用預估校正內點算法進行求解。仿真分析結果驗證了負荷平移在電力負荷削峰填谷、提高微電網(wǎng)運行經濟性和減少棄風棄光方面的作用。
[Abstract]:In recent years, a growing number of distributed generation, micro grid in a more effective way of integration of distributed generation, energy storage devices and controllable loads, access to renewable energy, improve energy efficiency and integration of emerging technology, has become an important part of smart grid. Optimization of micro grid power supply is the core content of micro grid planning and design stage, and how to realize the optimal allocation of energy resources and micro grid safety, reliability, economy, environmental protection and operation are closely related. Therefore, has important practical significance to research on the optimal allocation of micro grid power supply and economic dispatch.
Based on the analysis of micro grid power supply and optimization of economic dispatch status and research emphasis on domestic issues, first established the wind power generation system, photovoltaic system, fuel cell, steady output and cost model of diesel generators and energy storage system, and gives suggestions to choose a simple distributed power source and grid connected mode of micro in the network; for a second complementary scenery storage independent micro grid, establishes the capacity optimal allocation model, put forward the solution method of the model based on hybrid quantum genetic algorithm, convergence analysis is compared with the typical quantum genetic algorithm and genetic algorithm by ordinary cases, verify the superiority of the algorithm in convergence speed and global convergence; and then from the angle of controllable load in microgrid, the load is divided into important load, adjustable load and shifting load three, needle The strongest controllability of a class of moving load has established its mathematical model and put forward the load translation strategy; finally, combined with the energy load distribution and resource management, considering the characteristics of dynamic scheduling, and shifting load of micro grid economic scheduling problem, the scheduling is viewed as a kind of multi stage decision problems, establish the dynamic programming model, according to the special problem (objective function two times, and the linear constraints) dynamic programming is transformed into a sequence of two quadratic programming, the predictor corrector interior point algorithm. The simulation results show the load shift in power load peak, improve the micro economic operation of the power grid and reduce abandoned abandoned wind light effect.

【學位授予單位】：上海電力學院
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM73

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