Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

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基于分布式新能源與配網(wǎng)網(wǎng)絡(luò)重構(gòu)的降損技術(shù)

來源:電工電氣發(fā)布時(shí)間:2024-06-03 13:03瀏覽次數(shù):307

基于分布式新能源與配網(wǎng)網(wǎng)絡(luò)重構(gòu)的降損技術(shù)

袁之元, 魏林影
(鎮(zhèn)江三新供電服務(wù)有限公司丹陽分公司,江蘇 鎮(zhèn)江 212300)
 
    摘 要:考慮分布式新能源出力隨機(jī)性對(duì)調(diào)控策略執(zhí)行效果的影響,研究了基于電壓風(fēng)險(xiǎn)評(píng)估和主動(dòng)重構(gòu)的日前調(diào)度技術(shù)?;诠夥隽︻A(yù)測和負(fù)荷預(yù)測,以電壓安全概率風(fēng)險(xiǎn)最小為目標(biāo),以開合聯(lián)絡(luò)開關(guān)為控制變量,應(yīng)用二階錐松弛過的 Distflow 潮流模型進(jìn)行求解,獲取電壓安全概率風(fēng)險(xiǎn)最小的配網(wǎng)重構(gòu)方案。通過對(duì) IEEE 33 節(jié)點(diǎn)配網(wǎng)進(jìn)行算例分析,仿真結(jié)果驗(yàn)證了所提基于電壓風(fēng)險(xiǎn)評(píng)估與主動(dòng)重構(gòu)的日前降損策略的可行性。
    關(guān)鍵詞: 日前調(diào)度;二階錐松弛;Distflow 潮流模型;配網(wǎng)重構(gòu);降損
    中圖分類號(hào):TM732     文獻(xiàn)標(biāo)識(shí)碼:B     文章編號(hào):1007-3175(2024)05-0041-06
 
Loss Reduction Technology Based on Distributed New Energy and
Distribution Network Reconstruction
 
YUAN Zhi-yuan, WEI Lin-ying
(Zhenjiang Sanxin Power Supply Service Co., Ltd. Danyang Branch, Zhenjiang 212300, China)
 
    Abstract: Considering the influence of the randomness of distributed renewable energy output on the implementation effect of the control strategy, the day-ahead scheduling technology based on voltage risk assessment and active reconstruction was studied. Based on the photovoltaic output prediction and load prediction, this paper takes the minimum probability risk of voltage safety as the goal, and the opening and closing contact switches as control variable. A second-order cone relaxations Distflow flow model was applied to solve and obtain the distribution network reconstruction plan with the minimum voltage safety probability risk. Through the analysis of the IEEE 33 node distribution network, the simulation results verify the feasibility of the proposed day-ahead loss reduction strategy based on voltage risk assessment and active reconstruction.
    Key words: day-ahead scheduling; second-order cone relaxations; Distflow flow model; distribution network reconstruction; loss reduction
 
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