本文選題：戶用微電網(wǎng) + 空調(diào)負(fù)荷�。� 參考：《電力系統(tǒng)自動(dòng)化》2017年15期

【摘要】：空調(diào)負(fù)荷作為居民用戶中的主要負(fù)荷,成為戶用微電網(wǎng)能量管理的重要對(duì)象。以空調(diào)負(fù)荷為研究重點(diǎn),結(jié)合戶用微電網(wǎng)中其他可控負(fù)荷及儲(chǔ)能設(shè)備,提出一種計(jì)及空調(diào)模型自適應(yīng)修正的戶用微電網(wǎng)能量管理策略。針對(duì)空調(diào)所屬建筑物熱力學(xué)模型中空調(diào)能效比系數(shù)、建筑物參數(shù)不易獲取的問(wèn)題,提出根據(jù)空調(diào)在當(dāng)前場(chǎng)景下運(yùn)行的歷史數(shù)據(jù),用遺傳算法擬合得到適應(yīng)當(dāng)前場(chǎng)景的更為準(zhǔn)確的熱力學(xué)模型參數(shù)。針對(duì)室內(nèi)人員活動(dòng)、其他冷熱型負(fù)荷工作狀態(tài)改變等環(huán)境動(dòng)態(tài)變化因素導(dǎo)致室內(nèi)溫度偏離優(yōu)化溫度的問(wèn)題,用Q學(xué)習(xí)算法對(duì)空調(diào)設(shè)置溫度進(jìn)行在線自適應(yīng)修正。最后,通過(guò)算例和實(shí)驗(yàn)證明了所提策略可以適應(yīng)不同場(chǎng)景和環(huán)境的動(dòng)態(tài)變化,提高了能量管理的適用性和準(zhǔn)確性。
[Abstract]:Air conditioning load, as the main load of residential users, has become an important object of energy management in household microgrid. With the emphasis on air conditioning load and other controllable load and energy storage equipment in household microgrid, an energy management strategy for household microgrid considering adaptive modification of air conditioning model is proposed. In order to solve the problem that the coefficient of energy efficiency ratio and building parameters are difficult to obtain in the thermodynamic model of the building, the paper puts forward the historical data of air conditioning running in the current scene. A more accurate thermodynamic model parameter suitable for the current scene was obtained by genetic algorithm fitting. In order to solve the problem that indoor temperature deviates from the optimal temperature caused by dynamic environmental factors such as indoor personnel activities and other changes in the working state of cooling and heating load, the Q learning algorithm is used to modify the air conditioning setting temperature on line. Finally, examples and experiments show that the proposed strategy can adapt to the dynamic changes of different scenarios and environments, and improve the applicability and accuracy of energy management.
【作者單位】： 東南大學(xué)電氣工程學(xué)院;南京師范大學(xué)電氣與自動(dòng)化工程學(xué)院;國(guó)網(wǎng)江蘇省電力公司電力科學(xué)研究院;
【基金】：江蘇省科技計(jì)劃項(xiàng)目(BE2015012-1) 國(guó)家電網(wǎng)公司科技項(xiàng)目(SGTYHT/14-JS-188) 江蘇省普通高校研究生科研創(chuàng)新計(jì)劃項(xiàng)目(SJLX15_0050)~~
【分類號(hào)】：TM727

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本文編號(hào)：1888733