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| Content Provider | IET Digital Library |
|---|---|
| Author | Hao, Ran Ai, Qian Jiang, Ziqing |
| Abstract | In view of the high coupling degree of regional integrated energy system, a bilayer interaction strategy, consisting of energy suppliers, distribution networks, and users, is proposed. Game interaction strategy includes two aspects: scheduling and bidding. The independent system operator (ISO) coordinates all adjustable resources. Depending on the quotation price and multi-energy load prediction, ISO minimises the total energy cost, which realises the complementary of the multi-energy in the cooperative game. Under the assumption of incomplete information and bounded rationality, this study designs bidding functions and pay-as-bid settlement protocols. On this basis, according to history scheduling data and units’ characteristics, agents for energy suppliers pursue maximum interests. Also, the non-cooperative bidding process in multi-energy market is simulated by using Q-learning algorithm. Finally, the evolutionary process of the bilayer competitive game model is studied by practical example, and the existence local Nash equilibrium of the strategy is also proven. |
| Starting Page | 1285 |
| Ending Page | 1291 |
| Page Count | 7 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 16, Mar (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/conferences/cn-adc-2018 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8571 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-10-23 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-No Derivs License (http://creativecommons.org/licenses/by-nd/3.0/) |
| Subject Keyword | Bidding Function Bilayer Competitive Game Model Bilayer Game Strategy Bilayer Interaction Strategy Bounded Rationality Distribution Network Energy Suppliers Evolutionary Computation Evolutionary Process Game Interaction Strategy Game Theory High Coupling Degree History Scheduling Data Independent System Operator ISO Coordinate Learning in AI Local Nash Equilibrium Multi-agent System Multiagent Incomplete Information Multienergy Load Prediction Multienergy Market Noncooperative Bidding Process Optimisation Technique Pay-as-bid Settlement Protocol Power Market Power System Economics Power System Managemen Power System Operation Pricing Q-learning Algorithm Quotation Price Regional Integrated Energy System Scheduling Tendering Total Energy Cost Minimization Unit Characteristic |
| Content Type | Text |
| Resource Type | Article |
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