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

SUBSCRIPTION MANAGEMENT

發(fā)行征訂

首頁(yè) >> 發(fā)行征訂 >> 征訂方式

基于電網(wǎng)潮流拓?fù)浞治龅膮^(qū)域可再生能源傳輸流向研究

來(lái)源:電工電氣發(fā)布時(shí)間:2025-04-27 14:27瀏覽次數(shù):5

基于電網(wǎng)潮流拓?fù)浞治龅膮^(qū)域可再生能源傳輸流向研究

馮士睿,馮大偉,楊赟,陳宇,王鵬宇
(中國(guó)能源建設(shè)集團(tuán)江蘇省電力設(shè)計(jì)院有限公司,江蘇 南京 211102)
 
    摘 要:為合理評(píng)估高壓輸配電力網(wǎng)架中綠色電力的傳輸流向,精準(zhǔn)分析用戶用能中綠電占比,為企業(yè)電碳排放核查提供有力數(shù)據(jù)支撐,提出了一種基于電網(wǎng)潮流拓?fù)浞治龅膮^(qū)域可再生能源傳輸流向研究方法。該方法將區(qū)域的電網(wǎng)模型簡(jiǎn)化為以電力潮流拓?fù)渚W(wǎng)架模型,基于實(shí)時(shí)電力潮流走向生成機(jī)組注入矩陣、節(jié)點(diǎn)潮流矩陣與節(jié)點(diǎn)負(fù)荷矩陣,依托深度優(yōu)先搜索算法,溯源綠色電源至用戶的所有電力傳輸路徑,計(jì)算從綠色電源至各用戶的綠色電力分流占比。通過(guò)IEEE 算例系統(tǒng)與實(shí)際地區(qū)網(wǎng)架驗(yàn)證了算法的有效性與快速性,可以服務(wù)區(qū)域電網(wǎng)公司與電力用戶,精確地追蹤綠色電源輸送至各類型負(fù)荷的消納情況。
    關(guān)鍵詞: 傳輸流向;潮流拓?fù)浞治?;深度?yōu)先搜索;綠色電力
    中圖分類號(hào):TM712 ;TM732     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2025)04-0035-06
 
Research on Regional Renewable Energy Transmission Direction
Based on Power Grid Flow Topology Analysis
 
FENG Shi-rui, FENG Da-wei, YANG Yun, CHEN Yu, WANG Peng-yu
(China Energy Engineering Group Jiangsu Electric Power Design Institute Co., Ltd, Nanjing 211102, China)
 
    Abstract: In order to further reasonably evaluate the transmission direction of green electricity in high-voltage transmission and distribution networks and accurately analyze the proportion of green electricity in user consumption, thereby providing persuasive data support for corporate electricity carbon emission verification, this paper proposes a research method for regional renewable energy transmission direction based on power grid flow topology analysis. This method simplifies the regional power grid model into a power flow topology network model,based on real-time power flow direction generator unit injection matrix, node flow matrix, and node load matrix. Furthermore, relying on a depth-first search algorithm, it traces all power transmission paths from green power sources to users and calculates the proportion of power diversion from green power sources to each user. This method has been validated for effectiveness and speed through the IEEE example system and actual regional grid frameworks. It can serve regional power grid companies and electricity users by precisely tracking the consumption of green power delivered to various types of loads.
    Key words: transmission direction; power flow topology analysis; depth-first search; green electricity
 
參考文獻(xiàn)
[1] 張顯,馮景麗,常新,等. 基于區(qū)塊鏈技術(shù)的綠色電力交易系統(tǒng)設(shè)計(jì)及應(yīng)用[J] . 電力系統(tǒng)自動(dòng)化,2022,46(9) :1-10.
[2] 王騏鑫,盧保通,王蓓蓓,等. 配額制背景下基于區(qū)塊鏈的可再生能源電力追蹤方法[J] . 電力系統(tǒng)自動(dòng)化,2022,46(23) :11-19.
[3] 周天睿,康重慶,徐乾耀,等. 電力系統(tǒng)碳排放流分析理論初探[J]. 電力系統(tǒng)自動(dòng)化,2012,36(7) :38-43.
[4] 周天睿,康重慶,徐乾耀,等. 電力系統(tǒng)碳排放流的計(jì)算方法初探[J] . 電力系統(tǒng)自動(dòng)化,2012,36(11) :44-49.
[5] 李琦龍,榮子涵. 電力系統(tǒng)碳排放流理論的若干問(wèn)題及改進(jìn)方法[J]. 數(shù)碼-移動(dòng)生活,2022(2) :219-221.
[6] 王春妍,盧達(dá),李賀龍,等. 電力碳排放計(jì)量網(wǎng)絡(luò)溯源方法及計(jì)量分析[J] . 電網(wǎng)技術(shù),2024,48(8) :3373-3381.
[7] 范宏,湯亞宸,劉廣一,等. 基于圖計(jì)算的電力碳強(qiáng)度優(yōu)化仿真方法[J]. 供用電,2022,39(10) :10-16.
[8] 李業(yè)輝,李姚旺,劉昱良,等. 基于碳排放流迭代算法的分布式碳表系統(tǒng)(一) :理論方法與分析[J] . 電網(wǎng)技術(shù),2023,47(6) :2165-2173.
[9] 李業(yè)輝,包維瀚,周特,等. 基于碳排放流迭代算法的分布式碳表系統(tǒng)(二) :系統(tǒng)設(shè)計(jì)與驗(yàn)證[J] . 電網(wǎng)技術(shù),2023,47(7) :2682-2690.
[10] 張寧, 李姚旺, 黃俊輝, 等. 電力系統(tǒng)全環(huán)節(jié)碳計(jì)量方法與碳表系統(tǒng)[J] . 電力系統(tǒng)自動(dòng)化,2023,47(9) :2-12.