An accounting method of REDD reduction of renewable energy based on power flow distribution matrix

被引:1
|
作者
Zhu, Wenwei [1 ]
Pan, Baichong [1 ]
Liu, Qingcui [2 ]
Wang, Yanfeng [1 ]
Shi, Dao [3 ]
机构
[1] Guangdong Power Grid Planning & Res Ctr, Guangzhou 510080, Peoples R China
[2] Guangzhou Yueneng Power Technol Dev Co Ltd, Guangzhou 510000, Peoples R China
[3] Northeast Elect Power Univ, Sch Elect Engn, Jilin 132012, Peoples R China
关键词
power flow distribution matrix; AC current; renewable energy; REDD reduction;
D O I
10.1504/IJETM.2024.138216
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To overcome the problems of inaccurate calculation results and long calculation time in traditional methods, the paper proposes a renewable energy carbon reduction calculation method based on power flow distribution matrix. First, we calculate the AC current of renewable energy system lines. Secondly, power flow distribution matrix is constructed to realise generation power allocation. Then, the REDD coefficient method is used to obtain the REDD before the use of renewable energy. We then build the objective function of REDD accounting, and solve the REDD results after the application of renewable energy. Finally, the difference between the REDD before and after use is calculated to obtain the final REDD reduction accounting results. The results show that the accuracy of this method can reach 99.6%, and the time consumption is only 25 s, indicating that this method can analyse the effect of REDD reduction.
引用
收藏
页码:232 / 241
页数:11
相关论文
共 50 条
  • [31] Optimal Power Flow with Stochastic Renewable Energy Using Three Mixture Component Distribution Functions
    Khamees, Amr Khaled
    Abdelaziz, Almoataz Y.
    Eskaros, Makram R.
    Attia, Mahmoud A.
    Sameh, Mariam A.
    SUSTAINABILITY, 2023, 15 (01)
  • [32] Solutions for Energy Losses Reduction in Power Networks with Renewable Energy Sources
    Abagiu, Sorin
    Lepadat, Ionel
    Helerea, Elena
    2016 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL ELECTRICITY (ICATE), 2016,
  • [33] An MPC based Power Management Method for Renewable Energy Hydrogen based DC Microgrids
    Zhang, Mengfan
    Xu, Qianwen
    2023 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC, 2023, : 577 - 581
  • [34] Reliability of Power Distribution Networks With Renewable Energy Sources
    Prakash, K.
    Islam, F. R.
    Mamun, K. A.
    Lallu, A.
    Cirrincione, M.
    2017 4TH ASIA-PACIFIC WORLD CONGRESS ON COMPUTER SCIENCE AND ENGINEERING (APWCONCSE 2017), 2017, : 187 - 192
  • [35] Probabilistic power flow analysis of microgrid with renewable energy
    Wang, Han
    Yan, Zheng
    Xu, Xiaoyuan
    He, Kun
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 114
  • [36] Accounting Framework Based Electricity Energy Planning Software Involving Renewable Energy
    Tanoto, Yusak
    Handoyo, Ekadewi A.
    Sutjiadi, Raymond
    2015 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCEREC), 2015, : 103 - 107
  • [37] Comparison of modern heuristic algorithms for loss reduction in power distribution network equipped with renewable energy resources
    Ibrahim, Amr M.
    Swief, Rania A.
    AIN SHAMS ENGINEERING JOURNAL, 2018, 9 (04) : 3347 - 3358
  • [38] Determination of Normative Value Power Losses in Distribution power grids with Renewable Energy Sources using Criterion Method
    Gundebommu, Sree Lakshmi
    Rubanenko, Olena
    Cosovic, Marijana
    2020 19TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2020,
  • [39] Power Flow Calculation of Three-phase Distribution Network Based on Constant Jacobian Matrix and Newton Method
    Wang, ShaoFang
    Liu, Guangyi
    Xu, Jie
    Lang, YanShen
    Yang, ZhangYong
    Dou, Chenlong
    2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2014,
  • [40] A Modified Power Flow Algorithm in Power Systems with Renewable Energy Sources
    Contreras, D. L.
    Canedo, J. M.
    Montoya, Diana P.
    2017 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2017,