The P-graph application extension in multi-period P2P energy trading

被引:1
作者
Kong, Karen Gah Hie [1 ]
Lee, Alvin Guo Jian [1 ]
Teng, Sin Yong [2 ]
Leong, Wei Dong [3 ]
Orosz, Akos [4 ]
Friedler, Ferenc [5 ]
Sunarso, Jaka [1 ]
How, Bing Shen [1 ]
机构
[1] Swinburne Univ Technol, Res Ctr Sustainable Technol, Fac Engn Comp & Sci, Jalan Simpang Tiga, Kuching 93350, Sarawak, Malaysia
[2] Radboud Univ Nijmegen, Inst Mol & Mat, POB 9010, NL-6500GL Nijmegen, Netherlands
[3] Ramssol Grp Berhad, B-04-05,Tamarind Sq, Cyberjaya 63000, Selangor, Malaysia
[4] Univ Pannonia, Dept Comp Sci & Syst Technol, Egyet 10, H-8200 Veszprem, Hungary
[5] Univ Gyor, Szecheny Istvan Univ, Natl Artificial Intelligence Lab MILAB & Vehicle I, Egyet Ter 1, H-9026 Gyor, Hungary
关键词
PEP software; Multi-period P2P energy trading; Energy transition; P-graph application; Sustainable renewable energy planning; DISTRIBUTED ENERGY-RESOURCES; RENEWABLE ENERGY; THEORETIC APPROACH; BUSINESS MODELS; OPTIMIZATION; PERFORMANCE; TECHNOLOGIES; GENERATION;
D O I
10.1016/j.rser.2024.114544
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An optimization model that incorporates all combinatorically feasible inter-plant collaboration networks is developed using P-graph. It has been theoretically proven that time-sliced-based energy planning optimization has positive impacts and is capable of achieving carbon emissions reduction goals and minimizing costs simultaneously. However, as the number of entities increased, an exponential growth in possible combinatorial feasible coalitions is anticipated. Therefore, an extension of the P-graph optimization tool that is capable of generating all possible outcomes in multi-period P2P energy trading - PEP (P-graph for energy planning) is developed. The PEP software can be effectively used in modelling complex process networks graphically and solving optimization problems with the combined advantages of combinatorial algorithms and mathematical programming. In this paper, a systematic framework for implementing P2P energy trading using PEP software is proposed and demonstrated using a real-life case study.
引用
收藏
页数:13
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