發(fā)布時間：2018-04-27 14:54

  本文選題：削峰填谷 + 充放電價�。� 參考：《電網(wǎng)與清潔能源》2017年02期

【摘要】：電動汽車在無引導(dǎo)機制下入網(wǎng)會導(dǎo)致負(fù)荷隨機性變化,增加系統(tǒng)控制難度。通過制定電動汽車峰谷分時充放電價能夠引導(dǎo)電動汽車用戶分時段入網(wǎng)參與充放電,進而有利于系統(tǒng)負(fù)荷的削峰填谷。首先,通過蒙特卡羅模擬法建立單臺電動汽車無序模式下充放電功率模型,并分析規(guī)�；刖W(wǎng)對系統(tǒng)負(fù)荷的影響;然后,構(gòu)建電動汽車充放電價同步優(yōu)化模型,建立電動汽車充放電電量與充放電價的聯(lián)系,實現(xiàn)充放電價的同步優(yōu)化;最后,利用粒子群優(yōu)化算法對模型進行求解。算例表明,通過制定電動汽車峰谷分時充放電價同步優(yōu)化策略能夠達(dá)到系統(tǒng)負(fù)荷削峰填谷的目的,同時能夠增加電動汽車用戶的收益。
[Abstract]:The load of electric vehicle entering the network without guidance mechanism will cause random change of load and increase the difficulty of system control. By setting the charge and discharge price of the peak and valley of electric vehicle, the users of electric vehicle can be guided to charge and discharge in different periods, which is beneficial to cutting the peak and filling the valley of the system load. Firstly, the charging and discharging power model of a single electric vehicle under disordered mode is established by Monte Carlo simulation, and the influence of scale network on the system load is analyzed, and then, the synchronous optimization model of charge and discharge price of electric vehicle is constructed. The relationship between charge and discharge price and charge / discharge price of electric vehicle is established to realize synchronous optimization of charge / discharge price. Finally, particle swarm optimization algorithm is used to solve the model. The example shows that the optimization strategy of peak / valley time-sharing charge / discharge price of electric vehicle can achieve the purpose of cutting the peak load and filling the valley, and can increase the profit of the electric vehicle user at the same time.
【作者單位】： 上海電力學(xué)院經(jīng)濟與管理學(xué)院;
【基金】：國家自然科學(xué)基金青年項目(51507099) 上海市教委科研創(chuàng)新項目(13YS092) 上海市社科規(guī)劃一般課題(2015BGL002)~~
【分類號】：F426.471;F426.61
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本文編號：1811178