An agent-based system for bilateral contracts of energy |
| |
| Authors: | Hamed Kebriaei Ashkan Rahimi-Kian Vahid Johari Majd |
| |
| Affiliation: | 1. Intelligent Control Systems Lab., Electrical Engineering Dept., Tarbiat Modares University, Tehran, Iran;2. Control and Intelligent Processing Center of Excellence, School of ECE, Univ. of Tehran, Tehran, Iran;1. Sustainable Energy Systems, School of Engineering and Computer Science, Faculty of Engineering, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand;2. Department of Industrial Engineering and the Centre for Renewable and Sustainable Energy Studies, Stellenbosch University, Stellenbosch 7600, South Africa;3. Institute for Sustainable Futures, University of Technology Sydney, Sydney, NSW 2007, Australia;1. Control and Intelligent Systems Group, Department of Electrical and Electronic Engineering, UCC, College Rd., Cork, Ireland;2. SFI Research Centre for Marine and Renewable Energy, MaREI, Ireland;3. Faculty of Engineering and Environment, Department of Maths, Physics and Electrical Engineering, Northumbria University Newcastle, Newcastle upon Tyne NE1 8ST, UK;4. Dept. of Electrical Engineering, Lahijan branch, Islamic Azad University, Lahijan, Iran;5. Dep. of Electrical Power Engineering, Guilan Science and Research Branch, Islamic Azad University, Rasht, Iran;6. Dep. of Electrical Power Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran;7. Global Change Institute, The University of Queensland, St Lucia, QLD, Australia;1. University of Tabriz, 29 Bahman Blvd, Tabriz 56616, Iran;2. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam;3. Engineering Faculty, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey;1. Department of Electrical Engineering, MNIT Jaipur, India;2. Department of Computer Science & Engineering, MNIT Jaipur, India;3. Department of Electrical Engineering, IIT Delhi, India |
| |
| Abstract: | In this paper, an agent-based system for bilateral contracts of energy is proposed. The generating companies submit their offers to the demand companies. The demand companies also submit their bids to the generators. Each load or generator’s agent wants to match with an opponent, which offers the most valuable proposal. However, the problem of simultaneous decision-making causes decision conflicts among the agents. To overcome this conflict, we assume loads as the leaders and generators as the followers. We use Stackelberg game to match the seller and buyer agents. The negotiation process between a buyer and its potential seller will determine the power price between them. This process is carried out through a proposed combined time-behavioral protocol (TBP). With negligible changes in around the agreed price, this protocol can reduce the negotiation time considerably. After successful negotiation, the seller and buyer agents could sign a bilateral contract of energy if the market conditions allow it. The applicability of the proposed method is illustrated through a case study. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
