【摘要】：新能源發(fā)電不同于配電網(wǎng)中常規(guī)機(jī)組發(fā)電,其可調(diào)節(jié)性差,調(diào)度棄電損失大。文章考慮到微電網(wǎng)中柔性負(fù)荷的可調(diào)度性,使用需求響應(yīng)作為經(jīng)濟(jì)杠桿,以盡可能利用新能源供電,減少棄電量和提高用戶(hù)側(cè)與供電側(cè)經(jīng)濟(jì)性為目標(biāo),提出含彈性因子的分時(shí)定價(jià)策略對(duì)負(fù)荷功率進(jìn)行日前調(diào)度。為實(shí)現(xiàn)微電網(wǎng)的發(fā)電側(cè)與用戶(hù)側(cè)的互動(dòng)及其復(fù)雜調(diào)度,采用JADE軟件平臺(tái),構(gòu)建基于Multi-Agent System(MAS)的微電網(wǎng)需求響應(yīng)互動(dòng)定價(jià)優(yōu)化模型,通過(guò)聯(lián)合多個(gè)代理體使用改進(jìn)的粒子群算法尋優(yōu)驗(yàn)證了所提方法的有效性。
[Abstract]:New energy generation is different from conventional generating units in distribution network. In this paper, considering the schedulability of flexible load in microgrid, the demand response is used as the economic lever, and the goal is to make use of the new energy as much as possible, to reduce the power abandonment and to improve the economy of the user side and the power supply side. A time-sharing pricing strategy with elastic factors is proposed to schedule load power before day. In order to realize the interaction between generation side and user side of microgrid and its complex dispatching, the interactive pricing optimization model of demand response of microgrid based on Multi-Agent System (MAS) is constructed based on JADE software platform. The effectiveness of the proposed method is verified by combining multiple agents with improved particle swarm optimization (PSO).
【作者單位】： 三峽大學(xué)電氣與新能源學(xué)院;新能源微電網(wǎng)湖北省協(xié)同創(chuàng)新中心(三峽大學(xué));
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(51407104)
【分類(lèi)號(hào)】：F426.61;TM73

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