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This paper presents an integrated energy system (IES) multiagent game cooperative optimal scheduling strategy considering carbon quota and integrated demand response. Firstly, based on Stackelberg game theory and considering the initiative of demand side and energy storage side, a multiagent game interaction framework of source – load – storage is established. Secondly, with IES operators as leaders and energy storage operators and users as followers, the decisionmaking model of each stakeholder is established. In order to guide users to use energy scientifically and reduce system carbon emissions, a dual incentive policy based on carbon quota and realtime price guidance is introduced into IES operator model, and energy selling price and internal unit output plan are formulated with the goal of maximum net profit. Finally, genetic algorithm combined with CPLEX twostage algorithm is used to solve the proposed multiagent game model. The simulation results show that the proposed dual incentive strategy and game model can effectively take into account the interests of all parties, reduce the carbon emissions of the system without harming the interests of all parties, and realize the multiagent lowcarbon collaborative operation of IES.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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