發(fā)布時(shí)間：2018-03-04 11:06

  本文選題：經(jīng)濟(jì)調(diào)度　切入點(diǎn)：電動(dòng)汽車與電網(wǎng)互動(dòng)　出處：《重慶大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著能源危機(jī)和環(huán)境問題的日益突出，節(jié)能減排越來(lái)越受到關(guān)注，而大力推廣電動(dòng)汽車是最好的途徑之一。電動(dòng)汽車電池所具備的儲(chǔ)能特性使它不僅能作為負(fù)荷從電力系統(tǒng)汲取電能，且在電網(wǎng)負(fù)荷高峰時(shí)，能夠通過電動(dòng)汽車入網(wǎng)技術(shù)向系統(tǒng)輸送能量。隨著智能電網(wǎng)的發(fā)展和電池技術(shù)的突破，電動(dòng)汽車最終將作為分布式儲(chǔ)能單元成為智能電網(wǎng)的重要組成部分。 論文通過分析電動(dòng)汽車規(guī)�；l(fā)展對(duì)配電網(wǎng)及發(fā)電調(diào)度的影響，針對(duì)電動(dòng)汽車調(diào)度過程分解協(xié)調(diào)問題、電動(dòng)汽車時(shí)空分布問題和電動(dòng)汽車隨機(jī)性問題等，提出計(jì)及電動(dòng)汽車最優(yōu)時(shí)空分布的分級(jí)經(jīng)濟(jì)調(diào)度模型，包括計(jì)及電動(dòng)汽車集群的經(jīng)濟(jì)調(diào)度模型、電動(dòng)汽車集群充放電優(yōu)化模型，深入研究計(jì)及電動(dòng)汽車的調(diào)度模型，旨在降低未來(lái)電動(dòng)汽車規(guī)�；l(fā)展對(duì)電力系統(tǒng)的負(fù)面影響，促進(jìn)電動(dòng)汽車的快速發(fā)展，為實(shí)現(xiàn)電動(dòng)汽車與電網(wǎng)有效互動(dòng)奠定理論基礎(chǔ)。 以傳統(tǒng)機(jī)組組合模型為基礎(chǔ)，建立了計(jì)及電動(dòng)汽車集群的雙層經(jīng)濟(jì)調(diào)度模型，并充分考慮電動(dòng)汽車集群的時(shí)空分布特性，將模型解耦為機(jī)組最優(yōu)組合和電動(dòng)汽車代理商最優(yōu)充/放電計(jì)劃兩個(gè)子模型。內(nèi)層模型為基于最優(yōu)潮流的機(jī)組組合模型：根據(jù)次日電力系統(tǒng)負(fù)荷預(yù)測(cè)值，以及外層模型輸出的各電動(dòng)汽車代理商的出力/負(fù)荷，以發(fā)電成本最低為目標(biāo)函數(shù)求解，得到各機(jī)組最優(yōu)啟停計(jì)劃及出力。外層模型為電動(dòng)汽車代理商最優(yōu)充放電計(jì)劃模型：根據(jù)代理商所轄區(qū)域電動(dòng)汽車用戶申報(bào)的互動(dòng)信息，以配電網(wǎng)網(wǎng)損最小為目標(biāo)函數(shù)求解，得到各電動(dòng)汽車代理商充放電能量最優(yōu)配置。通過6節(jié)點(diǎn)系統(tǒng)和IEEE-30節(jié)點(diǎn)測(cè)試系統(tǒng)計(jì)算分析，表明論文模型能夠有效調(diào)度電動(dòng)汽車代理商參與電網(wǎng)互動(dòng)，降低總體社會(huì)成本的同時(shí)使得配電網(wǎng)網(wǎng)損最小，，優(yōu)化結(jié)果對(duì)充放電站的規(guī)劃選址具有指導(dǎo)意義。 計(jì)及電動(dòng)汽車用戶用車便利性，建立了基于優(yōu)先權(quán)的電動(dòng)汽車集群充放電優(yōu)化模型。論文分析了電動(dòng)汽車申報(bào)各項(xiàng)信息對(duì)代理商制定策略的影響，建立電動(dòng)汽車評(píng)價(jià)指標(biāo)體系，以電動(dòng)汽車申報(bào)容量和時(shí)段、誠(chéng)信度及電池?fù)p耗為評(píng)價(jià)指標(biāo)，基于熵權(quán)法確定電動(dòng)汽車調(diào)度優(yōu)先權(quán)。電動(dòng)汽車代理商根據(jù)調(diào)度機(jī)構(gòu)制定的調(diào)度計(jì)劃，確定所轄區(qū)域電動(dòng)汽車具體優(yōu)化調(diào)度方案。通過4節(jié)點(diǎn)、2電動(dòng)汽車代理商的微電網(wǎng)系統(tǒng)進(jìn)行仿真計(jì)算，表明論文方法能夠綜合考慮電動(dòng)汽車多項(xiàng)指標(biāo)對(duì)調(diào)度策略的影響，有效地實(shí)現(xiàn)了調(diào)度機(jī)構(gòu)為代理商擬定的調(diào)度計(jì)劃。
[Abstract]:As the energy crisis and environmental problems become increasingly prominent, energy conservation and emission reduction have attracted more and more attention. It is one of the best ways to popularize electric vehicles. The energy storage characteristics of electric vehicle batteries make it not only as a load to draw electricity from the power system, but also during the peak load of the power grid. With the development of smart grid and the breakthrough of battery technology, electric vehicle will eventually become an important part of smart grid as a distributed energy storage unit. Based on the analysis of the influence of the scale development of electric vehicle on distribution network and power generation scheduling, this paper aims at the problems of the decomposition and coordination of electric vehicle scheduling process, the space-time distribution of electric vehicle and the randomness of electric vehicle. A hierarchical economic scheduling model considering the optimal temporal and spatial distribution of electric vehicles is proposed, including the economic scheduling model of electric vehicle cluster, the charging and discharging optimization model of electric vehicle cluster, and the scheduling model considering electric vehicle. The purpose of this paper is to reduce the negative impact of the scale development of electric vehicles on the power system in the future, to promote the rapid development of electric vehicles, and to lay a theoretical foundation for the effective interaction between electric vehicles and power grids. Based on the traditional unit combination model, a two-layer economic dispatching model considering the electric vehicle cluster is established, and the space-time distribution characteristics of the electric vehicle cluster are fully considered. The model is decoupled into two sub-models: the optimal unit combination model and the electric vehicle agent optimal charge / discharge plan. The inner model is the unit combination model based on the optimal power flow: according to the load forecasting value of the next day power system, And the output force / load of each electric vehicle agent outputted by the outer model is solved with the lowest generation cost as the objective function. The outer model is the optimal charging and discharging plan model for the electric vehicle agent. According to the interactive information reported by the electric vehicle users in the area under the agency's jurisdiction, the minimum network loss of the distribution network is taken as the objective function to solve the problem. Through the calculation and analysis of 6-bus system and IEEE-30 node test system, it is shown that the model can effectively dispatch electric vehicle agents to participate in grid interaction. At the same time, the overall social cost is reduced and the distribution network loss is minimized. The optimization results are of guiding significance for the planning and location of charging and discharging stations. Considering the convenience of electric vehicle users, an optimization model of electric vehicle cluster charging and discharging based on priority is established. Establish the evaluation index system of electric vehicle, take the declared capacity and time period of electric vehicle, honesty and battery loss as the evaluation index, Based on the entropy weight method to determine the priority of electric vehicle scheduling. The specific optimal dispatching scheme of electric vehicle in the region is determined. The simulation results of the micro-grid system of the 4-node and two-node electric vehicle agent show that the method can comprehensively consider the influence of many indexes on the dispatching strategy of the electric vehicle. The scheduling plan drawn up by the scheduling organization for the agent is realized effectively.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM73;U469.72

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