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含分布式電源的配電網(wǎng)協(xié)同優(yōu)化分析

發(fā)布時(shí)間:2017-12-28 16:27

  本文關(guān)鍵詞:含分布式電源的配電網(wǎng)協(xié)同優(yōu)化分析 出處:《華北電力大學(xué)(北京)》2016年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 可再生能源 分布式電源 儲(chǔ)能 配電網(wǎng) 協(xié)同優(yōu)化 多代理系統(tǒng)


【摘要】:近年來,我國的經(jīng)濟(jì)迅猛發(fā)展,與此同時(shí),經(jīng)濟(jì)的快速增長帶來了巨大的能源消耗,在能源供給方面形成了化石能源如煤炭、石油、天然氣與新能源、可再生能源如風(fēng)能、太陽能等多種能源共同發(fā)展的供給體系。然而,我國能源資源分布不均且已探明的儲(chǔ)量有限,在能源的供給側(cè)我國的能源供給一直以煤炭為主。隨著國家對(duì)天然氣資源的大力開發(fā)和對(duì)利用可再生能源的大力倡導(dǎo),清潔能源以及可再生能源利用開始蓬勃發(fā)展。從發(fā)展趨勢(shì)來看,煤炭和石油在能源生產(chǎn)中的比例在逐漸降低,而風(fēng)電、光伏發(fā)電所占比例不斷增大。伴隨著我國經(jīng)濟(jì)的飛速發(fā)展,電網(wǎng)建設(shè)規(guī)模日益龐大,電力需求也迅猛增長然而當(dāng)前情形下我國的發(fā)電依然過度依賴火電,燃煤作為主要的一次能源供給已無法滿足我國電力發(fā)展的需要,另外日益加重的環(huán)保問題也讓傳統(tǒng)發(fā)電單元面臨嚴(yán)峻挑戰(zhàn)。分布式電源的出現(xiàn)成功地解決了上述問題,其充分利用風(fēng)力、光照等可再生能源,實(shí)現(xiàn)了對(duì)一次傳統(tǒng)能源的補(bǔ)充同時(shí)也具有環(huán)境友好特點(diǎn),正在成為研究熱點(diǎn)。但是,傳統(tǒng)電網(wǎng)對(duì)分布式電源的接入存在一定的限度,這是因?yàn)轱L(fēng)、光等資源具有間歇性,使得風(fēng)機(jī)、光伏的輸出功率不穩(wěn)定,其接入電網(wǎng)后傳統(tǒng)電網(wǎng)的穩(wěn)定性將受到影響,進(jìn)一步會(huì)使電網(wǎng)的潮流分布發(fā)生變化,使電網(wǎng)的電能質(zhì)量下降,在此情形下保護(hù)配置也需相應(yīng)地調(diào)整。而經(jīng)過優(yōu)化后的分布式電源接入,不僅使網(wǎng)損降低,改善了電能質(zhì)量,而且能夠?qū)崿F(xiàn)系統(tǒng)的削峰填谷,從而提高了部分饋線的負(fù)載能力,延遲線路升級(jí)投資。因此,本文將對(duì)有源配電網(wǎng)中分布式電源的優(yōu)化配置問題展開研究,研究內(nèi)容包括分布式發(fā)電(風(fēng)機(jī)、光伏)出力模型,儲(chǔ)能運(yùn)行模型,基于多代理系統(tǒng)(Multi-agent system, MAS)的配電網(wǎng)分布式電源定容選址協(xié)同優(yōu)化模型。具體工作如下:1、對(duì)配電網(wǎng)中分布式電源并網(wǎng)技術(shù)進(jìn)行研究,包括風(fēng)機(jī)、光伏等分布式發(fā)電設(shè)備的發(fā)電原理和出力特性,以及基于充放電特性的儲(chǔ)能運(yùn)行模型;2、針對(duì)分布式發(fā)電出力特性與協(xié)同優(yōu)化理論,建立分布式電源設(shè)備定容優(yōu)化模型,并提出有分布式電源接入條件下配電網(wǎng)的協(xié)同優(yōu)化一致性約束條件;3、根據(jù)機(jī)器學(xué)習(xí)理論,建立基于多代理系統(tǒng)的協(xié)同優(yōu)化分層互聯(lián)結(jié)構(gòu)并進(jìn)行優(yōu)化求解;4、通過對(duì)有分布式電源并網(wǎng)的配電網(wǎng)協(xié)同優(yōu)化算法的模型建立,對(duì)IEEE33系統(tǒng)進(jìn)行仿真分析,驗(yàn)證本文算法的正確性和適用性。
[Abstract]:In recent years, China's rapid economic development, at the same time, the rapid economic growth has brought huge energy consumption, energy supply in the form of fossil energy such as coal, petroleum, natural gas and new energy, renewable energy such as wind energy, solar energy and other common development of the supply system. However, the distribution of energy resources in China is uneven and the proven reserves are limited. In the supply side of the energy supply, the energy supply in China has been dominated by coal. With the vigorous development of natural gas resources and the vigorous advocacy of renewable energy, the use of clean energy and renewable energy has begun to flourish. From the trend of development, the proportion of coal and oil in the energy production is gradually decreasing, while the proportion of wind power and photovoltaic power generation is increasing. Along with the rapid development of China's economy, the increasingly large scale power grid construction, the power demand is the rapid growth of China's power but the current situation is still too dependent on thermal power, coal as the main primary energy supply has been unable to meet the needs of China's power development, also increasingly aggravated the environmental problems but also to traditional power generation unit faces severe challenges. The emergence of distributed generation has successfully solved the above problems. It makes full use of renewable energy such as wind and light to achieve a supplement to a traditional energy source, and is also environmentally friendly, which is becoming a research hotspot. However, the traditional distributed power grid access to certain limits, this is because of the wind, light and other resources with intermittent power output on the wind turbine, photovoltaic instability, access to the grid after the stability of traditional power grid will be affected, further will make the grid power flow distribution is changed, which make power the decline in the quality, also need to adjust the allocation of protection under the circumstances. The optimized distributed power access not only reduces the network loss, improves the power quality, but also realizes the peak shaving and valley filling of the system, which improves the load capacity of some feeder and delays the investment of line upgrade. Therefore, this article will optimize the configuration of distributed power supply distribution network research, research content including distributed generation (fan, photovoltaic) output model, energy storage operation model based on multi agent system (Multi-agent, system, MAS) of the distributed power distribution network capacity and location collaborative optimization model. The specific work is as follows: 1, the distributed power grid technology in distribution network is studied, including the generation principle of fan, photovoltaic distributed power generation equipment and output characteristics, and based on the characteristics of charge and discharge of energy storage operation model; 2, for distributed power generation and output characteristics of collaborative optimization theory, establish the optimization model of distributed power supply the equipment, and put forward the collaborative optimization of consistency constraints of distribution network under distributed power access conditions; 3, according to the theory of machine learning, the establishment of multi agent system collaborative optimization hierarchical interconnection structure and the optimization of distribution network based on; establish a distributed power grid collaborative optimization model, by 4, to simulation analysis of IEEE33 system and verify the validity and applicability of this algorithm.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TM73

【參考文獻(xiàn)】

相關(guān)博士學(xué)位論文 前5條

1 張睿;流域大規(guī)模梯級(jí)電站群協(xié)同發(fā)電優(yōu)化調(diào)度研究[D];華中科技大學(xué);2014年

2 龔錦霞;含分布式能源的電網(wǎng)協(xié)調(diào)優(yōu)化調(diào)度[D];上海交通大學(xué);2014年

3 張學(xué)清;風(fēng)電預(yù)測(cè)、協(xié)同調(diào)度及電網(wǎng)電壓安全評(píng)估研究[D];山東大學(xué);2013年

4 邱威;考慮間歇性能源接入和運(yùn)行安全的多目標(biāo)有功優(yōu)化調(diào)度[D];華北電力大學(xué);2012年

5 陳圣磊;強(qiáng)化學(xué)習(xí)及其在MAS協(xié)同概念設(shè)計(jì)中應(yīng)用的研究[D];南京理工大學(xué);2006年

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