基于降压节能技术的主动配电网“电压-碳排”协同优化控制
1.上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240;
2.国家电网有限公司华东分部,上海 200120
李然,副教授,博士生导师;E-mail:rl272@sjtu.edu.cn.
网络出版日期: 2025-02-26
基金资助
国家电网有限公司华东分部科学技术项目(SGHD0000WJJS2400195),国家自然科学基金(52477111)资助项目
Coordinated Optimization Control for “Voltage-Carbon Emission” of Active Distribution Network Based on CVR Technology
1.Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China;
2.East China Branch of State Grid Corporation of China, Shanghai 200120, China
Online published: 2025-02-26
吕威怡1, 张希鹏2, 李然1, 刘健哲1, 陈新仪2, 杜非2, 刘仲2 . 基于降压节能技术的主动配电网“电压-碳排”协同优化控制[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2024.504
Conservation voltage reduction (CVR) technology is an effective approach to promote system energy saving and alleviate peak power supply pressure. Existing CVR technology mainly achieves energy-saving by studying the coupling relationship between “voltage and power flow”. However, the mapping relationship between “voltage and carbon flow” is unclear, leaving the carbon reduction potential of CVR technology underexplored. To address this, an analytical relationship between “electric potential and carbon potential” is established, with the primary objectives of reducing carbon emissions and active power consumption. Firstly, CVR technology models considering the temporal and spatial variations of carbon emission intensity are developed, exploring the impact of load characteristics on the effectiveness of CVR technology. Secondly, a coordinated “voltage-carbon emission” optimization control scheme for active distribution networks based on CVR technology is proposed, integrating methods such as voltage control and optimal power flow for analysis and solution. Finally, the IEEE 33-node system is used to validate the effectiveness of the proposed coordinated control strategy. The results demonstrate that the inconsistency between energy saving and carbon reduction targets is verified, and the effect of carbon reduction is improved by 0.65% and 3.8% respectively; the coordinated optimization method can enhance carbon reduction outcomes by tailoring control strategies to different benefit stakeholders.
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