本文選題：主動配電網(wǎng)　切入點：中央空調(diào)　出處：《電網(wǎng)技術(shù)》2017年09期 　論文類型：期刊論文

【摘要】：中央空調(diào)(central air-conditioner,CAC)作為一種典型可控負荷,具有良好的需求響應(yīng)潛力。該文針對傳統(tǒng)控制策略CAC主機直接啟停方式的局限性,提出一種基于參數(shù)序列化的CAC變負載率(variable load rate,VLR)調(diào)節(jié)控制策略。首先,以常規(guī)水冷CAC為研究對象,基于不同運行模式特征對主機熱力學動態(tài)建模。其次,基于參數(shù)序列化技術(shù),考慮用戶舒適度及CAC鎖定約束,以室內(nèi)溫度為序列化參數(shù)形成響應(yīng)群體篩選隊列,根據(jù)響應(yīng)目標確定可控群體;采用VLR方法,對可控群體進行精細化負載率調(diào)節(jié)。最后,在仿真算例中,比較了本文方法與傳統(tǒng)啟停策略的差異,分析了鎖定約束對控制效果的影響。在工作模式下,模擬上層電網(wǎng)控制中心下發(fā)調(diào)控信號,實現(xiàn)削峰效果。結(jié)果表明:基于參數(shù)序列化技術(shù),能夠保證用戶的舒適度,篩選出適合調(diào)控的CAC負荷群體;結(jié)合VLR方法,實現(xiàn)對CAC負荷群的精細化調(diào)節(jié),目標值響應(yīng)精度更高。
[Abstract]:As a typical controllable load, central air-conditioner (CAC) has good demand response potential. This paper presents a variable load rate variable load control strategy for CAC based on parameter serialization. Firstly, taking the conventional water-cooled CAC as the research object, the thermodynamics dynamic model of the host is modeled based on the characteristics of different operation modes. Secondly, the parameter-based serialization technique is used to model the thermodynamics of the host. Considering the user comfort and CAC locking constraints, the response group selection queue is formed with the indoor temperature as the serialization parameter, and the controllable population is determined according to the response target. Finally, the VLR method is used to adjust the load rate of the controllable population. In the simulation example, the difference between this method and the traditional starting and stopping strategy is compared, and the influence of locking constraint on the control effect is analyzed. In the working mode, the control signal is generated from the control center of the upper power network. The results show that the parameter-based serialization technique can ensure the comfort of the users and select the suitable CAC load groups, and combine the VLR method to realize the fine adjustment of the CAC load group, and the target value response accuracy is higher.
【作者單位】： 智能電網(wǎng)教育部重點實驗室(天津大學);國網(wǎng)福建省電力科學研究院;國網(wǎng)北京市電力公司;國網(wǎng)廈門供電公司;國網(wǎng)北京經(jīng)濟技術(shù)研究院;
【基金】：國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2014AA051901) 國家自然科學基金項目(51407125) 國家電網(wǎng)公司科技項目《集成大規(guī)模柔性負荷的智能配電網(wǎng)規(guī)劃關(guān)鍵技術(shù)研究》資助~~
【分類號】：TB657.2;TM73
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本文編號：1644747