Research Article
Decentralized Reinforcement Learning Approach for Microgrid Energy Management in Stochastic Environment
Table 2
The average results of EMS based on decentralized reinforcement learning over 800 days.
| | Scenario | Daily generated/consumed energy (kWh) | Daily profit/expense (rial) | | I | II | I | II |
| | Wind | 125.2 | 124.2 | 40561 | 51681 | | PV | 70.2 | 70.1 | 31226 | 41279 | | Diesel | 63 | 117.4 | 14670 | 28274 | | Fuel cell | 75.2 | 141.7 | 17153 | 41539 | | Microturbine | 75.3 | 142.1 | 24401 | 52317 | | Battery | 10.7 | 1.2 | −2312 | 91 | | Electrical load | 618.9 | 216.6 | 81184 | 28049 | | Thermal load | 257.1 | 99 | 60282 | 22849 | | Main grid | 475.7 | −211 | 436720 | −46247 |
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