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With the development of distributed generation technology on the user side, there is an urgent need to improve the reliability and economy of community power consumption. This paper introduces a community operator to manage the energy of the community and constructs an energy trading model centered on the community operator with energy storage devices. Firstly, considering the shortcomings of the existing pricing mechanism, an improved supplydemand ratio pricing mechanism is proposed to promote energy sharing in the community. Then, by coordinating energy storage devices and considering their loss costs, an online energy scheduling algorithm with low complexity is proposed based on the improved Lyapunov optimization method to maximize the revenue of the community operator under the premise of meeting the power consumption demand of the community. Theoretical analysis results show that the proposed algorithm can achieve the asymptotically optimal value of the optimization objective based only on the current system state, without the need for prior statistical knowledge of photovoltaic output, user load demand, and realtime electricity prices. Simulation results show that compared with reinforcement learning algorithms and greedy algorithms, the revenue of the community operator under the algorithm proposed in this paper is increased by 5% and 20.9% respectively, effectively promoting the local consumption of photovoltaic power.
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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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