【摘要】：針對(duì)復(fù)雜智能用電環(huán)境下智能用電小區(qū)的多用戶日負(fù)荷需求響應(yīng)問題,提出一種考慮用戶用電行為聚類的互動(dòng)需求響應(yīng)方法。首先,以智能小區(qū)用戶的基本負(fù)荷、可調(diào)度負(fù)荷、電動(dòng)車負(fù)荷和儲(chǔ)能裝置負(fù)荷為約束條件,建立電網(wǎng)負(fù)荷波動(dòng)最小優(yōu)化目標(biāo)的需求響應(yīng)模型;然后,闡述了提出的智能小區(qū)互動(dòng)化需求響應(yīng)方法,將需求響應(yīng)模型求解過程分解為電網(wǎng)側(cè)子響應(yīng)和用戶側(cè)子響應(yīng)的協(xié)作互動(dòng)過程;最后,基于用戶側(cè)用電行為聚類分析,采用行為矯正的混合粒子群優(yōu)化算法實(shí)現(xiàn)需求響應(yīng)模型的互動(dòng)化方法求解。實(shí)驗(yàn)中與分時(shí)電價(jià)下的響應(yīng)算法及無用戶聚類的集中響應(yīng)算法對(duì)比,其結(jié)果表明所提方法通過聚類分析與互動(dòng)化策略能夠在優(yōu)化結(jié)果和算法性能方面優(yōu)于對(duì)比方法。
[Abstract]:In order to solve the problem of multi-user daily load demand response in a complex intelligent power consumption environment, an interactive demand response method considering the clustering of users' power consumption behavior is proposed. Firstly, taking the basic load, schedulable load, electric vehicle load and energy storage unit load of intelligent residential area as the constraint conditions, the demand response model of the minimum optimization objective of power grid load fluctuation is established. Then, the interactive demand response method of intelligent community is presented. The solution process of demand response model is decomposed into the collaborative interaction process of grid side sub-response and user side sub-response. Finally, based on the cluster analysis of user side electricity behavior, a hybrid particle swarm optimization algorithm based on behavior correction is used to solve the interactive solution of demand response model. The experimental results are compared with the response algorithm under time-sharing price and the centralized response algorithm without user clustering. The results show that the proposed method is superior to the comparison method in the optimization results and the performance of the algorithm by clustering analysis and interactive strategy.
【作者單位】： 華北電力大學(xué)電氣與電子工程學(xué)院;國網(wǎng)江蘇省電力公司電力科學(xué)研究院;
【基金】：國家電網(wǎng)公司科技項(xiàng)目(2015SGKJ10-1) 國家重點(diǎn)研發(fā)計(jì)劃資助項(xiàng)目(2016YFB0901104)~~
【分類號(hào)】：TM73;TM76

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本文編號(hào)：2379637