計及電動汽車無功支撐能力的分布式電源與智能停車場聯(lián)合規(guī)劃方法
發(fā)布時間:2018-07-17 07:00
【摘要】:隨著大量分布式電源(DG)及電動汽車(EV)接入配電網(wǎng),為保證電網(wǎng)的高效、清潔、經(jīng)濟(jì)和安全運(yùn)行,必須對二者進(jìn)行合理的規(guī)劃。為此,提出一種計及EV無功支撐能力的DG及智能停車場(IPL)聯(lián)合規(guī)劃方法。首先,基于有源配電網(wǎng)的基本物理結(jié)構(gòu),對EV動力電池的無功可調(diào)范圍進(jìn)行了推導(dǎo)。進(jìn)一步考慮風(fēng)電等間歇性DG出力、常規(guī)用電以及EV充電負(fù)荷時空分布的不確定性,通過構(gòu)建發(fā)電—負(fù)荷場景以綜合計及上述不確定性因素的影響。在此基礎(chǔ)上,分別以系統(tǒng)投資和運(yùn)行成本最小作為目標(biāo)函數(shù),構(gòu)建了綜合考慮DG和IPL選址定容的兩階段優(yōu)化模型。根據(jù)模型特點(diǎn),采用經(jīng)典的遺傳算法實(shí)現(xiàn)問題求解。以33節(jié)點(diǎn)配網(wǎng)系統(tǒng)為例,對所提模型的有效性進(jìn)行驗證。仿真結(jié)果表明,在配電網(wǎng)投資規(guī)劃中充分考慮規(guī);刖W(wǎng)EV的無功支撐能力,能夠有效改善系統(tǒng)的電能質(zhì)量,促進(jìn)可再生能源高效利用,從而帶來更好的經(jīng)濟(jì)效益。
[Abstract]:With the access of a large number of distributed power sources (DG) and electric vehicles (EV) into the distribution network, in order to ensure the efficient, clean, economical and safe operation of the power grid, the two parties must be rationally planned. For this reason, a combination planning method of DG and intelligent parking lot (IPL) with the EV reactive power support capacity is proposed. First, the basic physical structure of the active distribution network is based. The reactive power adjustable range of EV power battery is derived. Further consideration is given to the uncertainty of wind power and other intermittent DG force, conventional electricity and EV charging load time and space distribution. By constructing the generation load scene, the influence of the above uncertainty factors is taken into consideration. On this basis, the system investment and operation cost are minimization. For the objective function, a two stage optimization model which considers the location and capacity of DG and IPL is constructed. According to the characteristics of the model, the classical genetic algorithm is used to solve the problem. The effectiveness of the proposed model is verified by the example of the 33 node distribution network system. The simulation results show that the size of the scale into the network EV is fully considered in the distribution network investment planning. Power support capability can effectively improve the power quality of the system, and promote the efficient utilization of renewable energy, resulting in better economic benefits.
【作者單位】: 新能源電力系統(tǒng)國家重點(diǎn)實(shí)驗室(華北電力大學(xué));國網(wǎng)山東省電力公司泰安供電公司;
【基金】:國家自然科學(xué)基金(51507061) 國家重點(diǎn)研發(fā)計劃項目(2016YFB0101903) 中央高;究蒲袠I(yè)務(wù)費(fèi)專項基金(2017MS007)資助
【分類號】:TM715
,
本文編號:2129510
[Abstract]:With the access of a large number of distributed power sources (DG) and electric vehicles (EV) into the distribution network, in order to ensure the efficient, clean, economical and safe operation of the power grid, the two parties must be rationally planned. For this reason, a combination planning method of DG and intelligent parking lot (IPL) with the EV reactive power support capacity is proposed. First, the basic physical structure of the active distribution network is based. The reactive power adjustable range of EV power battery is derived. Further consideration is given to the uncertainty of wind power and other intermittent DG force, conventional electricity and EV charging load time and space distribution. By constructing the generation load scene, the influence of the above uncertainty factors is taken into consideration. On this basis, the system investment and operation cost are minimization. For the objective function, a two stage optimization model which considers the location and capacity of DG and IPL is constructed. According to the characteristics of the model, the classical genetic algorithm is used to solve the problem. The effectiveness of the proposed model is verified by the example of the 33 node distribution network system. The simulation results show that the size of the scale into the network EV is fully considered in the distribution network investment planning. Power support capability can effectively improve the power quality of the system, and promote the efficient utilization of renewable energy, resulting in better economic benefits.
【作者單位】: 新能源電力系統(tǒng)國家重點(diǎn)實(shí)驗室(華北電力大學(xué));國網(wǎng)山東省電力公司泰安供電公司;
【基金】:國家自然科學(xué)基金(51507061) 國家重點(diǎn)研發(fā)計劃項目(2016YFB0101903) 中央高;究蒲袠I(yè)務(wù)費(fèi)專項基金(2017MS007)資助
【分類號】:TM715
,
本文編號:2129510
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