發(fā)布時(shí)間：2018-06-26 20:54

  本文選題：優(yōu)化配置 + 風(fēng)光互補(bǔ)發(fā)電�。� 參考：《浙江大學(xué)》2017年碩士論文

【摘要】：近年來(lái),石化資源不斷縮減、環(huán)境問(wèn)題日益嚴(yán)峻,而分布式發(fā)電系統(tǒng)顯現(xiàn)靈活可靠、經(jīng)濟(jì)環(huán)保的優(yōu)點(diǎn),因此基于可再生能源開(kāi)發(fā)的微電網(wǎng)系統(tǒng)受到越來(lái)越多的關(guān)注。微電網(wǎng)的優(yōu)化配置問(wèn)題對(duì)于降低其系統(tǒng)成本、提高供電可靠性很關(guān)鍵。啟發(fā)式算法在復(fù)雜系統(tǒng)優(yōu)化問(wèn)題求解中有著并行性、高效性的特點(diǎn)。本文研究一種孤島運(yùn)行模式下,基于風(fēng)能、太陽(yáng)能、蓄電池和氫氣儲(chǔ)能的混合發(fā)電系統(tǒng)的配置問(wèn)題,考慮特定環(huán)境因素、系統(tǒng)約束條件和優(yōu)化指標(biāo),采用改進(jìn)的蟻群算法求出系統(tǒng)中各種電力設(shè)備的最佳配置數(shù)量。本文主要涉及的內(nèi)容和工作包括:(1)搭建風(fēng)光氫蓄混合發(fā)電系統(tǒng),并分析各個(gè)電力元件的能量轉(zhuǎn)換模型,在此基礎(chǔ)上提煉出系統(tǒng)的設(shè)備成本、能量浪費(fèi)成本、氫氣所獲收益,確立優(yōu)化配置問(wèn)題的目標(biāo);然后建立自變量約束和系統(tǒng)供電可靠性約束條件。(2)根據(jù)系統(tǒng)配置的目標(biāo)函數(shù)最優(yōu)原則,給出混合發(fā)電系統(tǒng)運(yùn)行時(shí)的整體工作策略以及電池的充放電策略。(3)在基本的蟻群算法上,采用實(shí)數(shù)編碼方式并借助排序機(jī)制提出一種改進(jìn)的蟻群算法,將該算法用于求解上述帶約束條件的優(yōu)化問(wèn)題。本文的創(chuàng)新點(diǎn)包括以下三點(diǎn):(1)給出混合發(fā)電系統(tǒng)的一種更加全面的成本優(yōu)化模型的數(shù)學(xué)描述。(2)在混合發(fā)電系統(tǒng)的優(yōu)化配置問(wèn)題中考慮了新型的分類充放電策略。(3)提出一種實(shí)數(shù)編碼方式的基于排序方法的改進(jìn)蟻群算法。這三個(gè)創(chuàng)新點(diǎn)在風(fēng)光氫蓄混合發(fā)電系統(tǒng)優(yōu)化配置中發(fā)揮積極作用,完善了該配置優(yōu)化問(wèn)題中設(shè)備模型的綜合集成環(huán)境,通過(guò)設(shè)備充放電策略增強(qiáng)了系統(tǒng)運(yùn)行的可靠性,并建立了快速多維化數(shù)字空間的優(yōu)化求解技術(shù),保證了計(jì)算的有效、準(zhǔn)確、可靠性。
[Abstract]:In recent years, petrochemical resources continue to shrink, environmental problems become increasingly serious, and distributed generation systems show the advantages of flexibility, reliability, economic and environmental protection. Therefore, the micro-grid system based on renewable energy development has received more and more attention. The optimal configuration of microgrid is very important to reduce the system cost and improve the reliability of power supply. Heuristic algorithm has the characteristics of parallelism and high efficiency in solving complex system optimization problems. In this paper, the configuration of a hybrid power generation system based on wind, solar, battery and hydrogen storage energy under an island operation mode is studied, considering specific environmental factors, system constraints and optimization indexes. An improved ant colony algorithm is used to find out the optimal number of power equipment in the system. The main contents and work of this paper are as follows: (1) build the hybrid solar hydrogen storage power generation system, and analyze the energy conversion model of each power element, and then extract the equipment cost, energy waste cost, and the benefit of hydrogen. The objective of optimal configuration problem is established, and then independent variable constraints and system power supply reliability constraints are established. (2) according to the principle of optimal objective function of system configuration, The overall operation strategy of hybrid generation system and the charging and discharging strategy of battery are given. (3) in the basic ant colony algorithm, an improved ant colony algorithm is proposed by using real number coding method and sorting mechanism. The algorithm is used to solve the above optimization problems with constraints. The innovations of this paper include the following three points: (1) the mathematical description of a more comprehensive cost optimization model for hybrid generation system is given. (2) A new classified charging and discharging strategy is considered in the optimal configuration of hybrid generation system. An improved ant colony algorithm based on sorting method is proposed for real coding. These three innovations play an active role in the optimal configuration of the hybrid solar hydrogen storage generation system. The integrated environment of the equipment model in the configuration optimization problem is improved, and the reliability of the system is enhanced by the charging and discharging strategy of the equipment. The optimization technique of fast multidimensional digital space is established to ensure the efficiency, accuracy and reliability of the calculation.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM61

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