【摘要】：隨著經(jīng)濟(jì)社會的發(fā)展,能源枯竭和環(huán)境惡劣的問題越發(fā)凸顯。作為節(jié)能減排的重要措施,分布式電源發(fā)展前途光明,將在電網(wǎng)末端大量接入并發(fā)揮巨大作用。然而分布式電源多為可再生能源發(fā)電,出力不可準(zhǔn)確預(yù)測和控制,對其進(jìn)行優(yōu)化調(diào)度是一個尚未解決的問題。本文旨在提出一種合理的優(yōu)化調(diào)度模型,并通過典型算例驗證其可行性。 本文提出了一種新型配電網(wǎng)調(diào)度模式,對分布式電源出力進(jìn)行合理控制。分布式電源通過微網(wǎng)接入配電網(wǎng),實現(xiàn)分級消納。首先根據(jù)整個配電網(wǎng)中的負(fù)荷預(yù)測和分布式電源中新能源發(fā)電的集總預(yù)測,基于消費者心理學(xué)曲線進(jìn)行一天內(nèi)電價排布的計算,引導(dǎo)用電負(fù)荷進(jìn)行相應(yīng)的轉(zhuǎn)移,以實現(xiàn)新能源發(fā)電不同情況下的“削峰填谷”。計算結(jié)果表明,本文提出的“準(zhǔn)實時電價”計算模型可以適應(yīng)新能源發(fā)電的不同出力狀況,并能實現(xiàn)用戶側(cè)和電網(wǎng)公司的雙贏。其次,根據(jù)既定的電價排布,計算微網(wǎng)的經(jīng)濟(jì)運行模式,確定微網(wǎng)在一天之內(nèi)的售購電情況。此步驟是為最終配電網(wǎng)的優(yōu)化調(diào)度計算進(jìn)行鋪墊。最后,在配電網(wǎng)層面對微網(wǎng)出力進(jìn)行調(diào)度,設(shè)置運行成本最低、排放成本最低、電壓質(zhì)量最好三個目標(biāo)函數(shù),運用基于評價函數(shù)的交互式多目標(biāo)決策模型解決多個目標(biāo)相互沖突的問題,利用粒子群算法進(jìn)行求解計算,并由此確定整個配電網(wǎng)的最終運行狀態(tài)。采用IEEE-33節(jié)點系統(tǒng)和典型微網(wǎng)數(shù)據(jù)作算例,驗證模型的可行性。算例結(jié)果顯示,本文提出的含分布式電源優(yōu)化調(diào)度模型可以較為理想地解決分布式電源出力波動、難以控制的問題,為電網(wǎng)公司對分布式電源規(guī)�；瘧�(yīng)用的調(diào)度管理提供一些建議。
[Abstract]:With the development of economy and society, the problems of energy exhaustion and bad environment become more and more prominent. As an important measure of energy saving and emission reduction, distributed power generation has a bright future and will play an important role in the end of power grid. However, most of the distributed power generation is renewable energy generation, the output can not be accurately predicted and controlled, the optimal scheduling is an unsolved problem. In this paper, a reasonable optimal scheduling model is proposed, and its feasibility is verified by a typical example. In this paper, a new dispatching mode of distribution network is proposed to control the distributed power generation reasonably. The distributed power supply is connected to the distribution network through the microgrid to realize the hierarchical absorption. First of all, according to the load forecasting in the whole distribution network and the lumped forecast of the new energy generation in the distributed generation, based on the consumer psychology curve, the electricity price arrangement is calculated in one day to guide the corresponding transfer of the power load. In order to realize the new energy power generation under different circumstances, "cutting peak and filling valley". The calculation results show that the proposed "quasi-real-time pricing" model can adapt to the different power generation conditions of new energy generation, and can realize the win-win situation between the user side and the power grid company. Secondly, according to the fixed price arrangement, the economic operation mode of microgrid is calculated, and the sale and purchase of electricity in one day is determined. This step is to pave the way for the optimal dispatching calculation of the final distribution network. Finally, at the level of distribution network, three objective functions are set up, which are the lowest operating cost, the lowest emission cost, the best voltage quality and the best voltage quality. The interactive multi-objective decision model based on evaluation function is used to solve the conflict problem of multiple objectives, and the particle swarm optimization algorithm is used to solve the problem, and the final running state of the whole distribution network is determined. IEEE-33 node system and typical microgrid data are used as examples to verify the feasibility of the model. The numerical results show that the proposed optimal scheduling model with distributed power supply can solve the problem that the power fluctuation of distributed power supply is difficult to control. Some suggestions are provided for the dispatching management of distributed power generation in power grid companies.
【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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