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
相关论文
共 50 条
[41]   P-graph approach to criticality analysis in integrated bioenergy systems [J].
Benjamin, Michael Francis D. ;
Cayamanda, Christina D. ;
Tan, Raymond R. ;
Razon, Luis F. .
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2017, 19 (07) :1841-1854
[42]   Scheduling of bus maintenance by the P-graph methodology [J].
Adonyi, Robert ;
Heckl, Istvan ;
Olti, Ferenc .
OPTIMIZATION AND ENGINEERING, 2013, 14 (04) :565-574
[43]   Synthesis of Material Interception Networks with P-Graph [J].
Lim C.H. ;
Pereira P.S. ;
Shum C.K. ;
Ong W.J. ;
Tan R.R. ;
Lam H.L. ;
Foo D.C.Y. .
Foo, D.C.Y. (Dominic.Foo@nottingham.edu.my), 2017, Springer (01) :225-235
[44]   Solution of separation network synthesis problems by the P-graph methodology [J].
Heckl, Istvan ;
Friedler, Ferenc ;
Fan, L. T. .
19TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2009, 26 :641-646
[45]   Design and engineering of sustainable process systems and supply chains by the P-graph framework [J].
Cabezas, H. ;
Argoti, A. ;
Friedler, F. ;
Mizsey, P. ;
Pimentel, J. .
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2018, 37 (02) :624-636
[46]   Process Network Synthesis for Benzaldehyde Production: P-graph Approach [J].
Pimentel Losada, Jean ;
Heckl, Istvan ;
Bertok, Botond ;
Friedler, Ferenc ;
Garcia-Ojeda, Juan C. ;
Argoti, Andres .
PRES15: PROCESS INTEGRATION, MODELLING AND OPTIMISATION FOR ENERGY SAVING AND POLLUTION REDUCTION, 2015, 45 :1369-1374
[47]   Transforming smart homes via P2P energy trading using robust forecasting and scheduling framework [J].
Raza, Ali ;
Li, Jingzhao ;
Adnan, Muhammad ;
Iqbal, Muhammad Sajid .
RESULTS IN ENGINEERING, 2024, 23
[48]   Cogeneration system's energy performance improvement by using P-graph and advanced process control [J].
Rohman, Fakhrony Sholahudin ;
Alwi, Sharifah Rafidah Wan ;
Er, Hong An ;
Termizi, Siti Nor Azreen Ahmad ;
Abd Manan, Zainuddin ;
Lim, Jeng Shiun ;
Muhammad, Dinie .
CHEMICAL PRODUCT AND PROCESS MODELING, 2025, 20 (01) :1-37
[49]   P2P Electricity Trading Considering User Preferences for Renewable Energy and Demand-Side Shifts [J].
Sagawa, Daishi ;
Tanaka, Kenji ;
Ishida, Fumiaki ;
Saito, Hideya ;
Takenaga, Naoya ;
Saegusa, Kosuke .
ENERGIES, 2023, 16 (08)
[50]   P2P electricity trading model for urban multi-virtual power plants based on double-layer energy blockchain [J].
Zhou, Kaile ;
Xing, Hengheng ;
Ding, Tao .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 39