Table 1.
Exploring optimization strategies for energy management in microgrid: a review.
| References | Year | Components of test system used | Objective functions | Methodology | Remarks |
|---|---|---|---|---|---|
| 54 | 2024 | WT, PV, battery, MT, diesel generator, FC | Operation cost | Intelligent golden jackal optimization | Integration of electric vehicle is not considered |
| 55 | 2023 | PV, battery, MT, thermal generator, CHP | Operation cost, emission | Epsilon constraint algorithm | Integration of WT and FC not considered |
| 56 | 2024 | WT, PV, battery, MT, diesel generator, FC | Operation cost, emission | Manta ray foraging optimization | Analysis of environmental pollution is ignored. Multi-objective optimization not implemented |
| 57 | 2023 | CES, EES, CAES, EHP, AC, heat pump | Operation cost, emission | Blue whale optimization algorithm | Integration of WT, PV, and MT not considered. Different charging modes of EV not analyzed |
| 58 | 2023 | PV, WT, battery | MG and EV cost | Enhanced variant multi-objective particle swarm optimization algorithm | Analysis of environmental pollution is ignored |
| 59 | 2023 | CHP, gas boiler, WT, PV, HS, BS | Operating cost of multi-microgrid, profit of the distribution company | Mixed-integer linear programming, ε-constraint approach, mixed-integer nonlinear programming | Analysis of environmental pollution is ignored |
| 60 | 2023 | WT, PV, battery, MT, diesel generator, FC and grid | Operation cost, emission | Improved shuffled frog leaping algorithm | Different charging modes of EV not analyzed |
| 61 | 2023 | thermal generators, battery and grid | operation cost, emission | efficient black widow optimization algorithm, | Integration of renewable energy sources is ignored |
| 62 | 2023 | PV, diesel generator, grid and battery | Energy consumption, life cycle of battery, practicality of the renewable energy usage | Extended optimal ε-variable technique | Analysis of operating cost and emission is ignored |
| 63 | 2024 | Battery, supercapacitor | Battery capacity loss, state of charge | NSGA-III, | Integration of renewable energy sources is ignored |
| 64 | 2023 | WT, MT, PV, FC and battery | Generation cost, penalty cost of frequency overrun | Back Propagation neural network | Analysis of environmental pollution is ignored |
| 65 | 2023 | PV, WT, CHP, boiler, battery | Operation cost, emission | Lexicography-compromised programming | Integration of MT and FC is ignored |
| 66 | 2022 | WT, PV | Voltage deviation, energy not supplied, overall annual cost of energy in a microgrid | Jellyfish search optimizer | Integration of MT and FC is ignored |
| 67 | 2024 | PV, battery | Electricity consumption costs, variability in grid-side energy supply | Multi-objective particle swarm algorithm | Analysis of environmental pollution is ignored |
| 68 | 2024 | WT, PV, diesel generator, MGT, battery | Operation cost, emission | Improved PSO algorithm | Integration with EV is ignored |
| 69 | 2023 | PV, WT, battery | Operating cost, voltage deviation, active power loss | Wavelet neural network | Analysis of environmental pollution is ignored |
| 70 | 2023 | WT, PV | Operating cost, rate of renewable energy, cost of the distribution network operators, cost of electric vehicle users, profit of microgrid operators | Improved PSO algorithm | Analysis of environmental pollution is ignored. Integration of MT and FC is ignored |
| 71 | 2024 | WT, PV, battery and grid | Operation cost, emission, voltage deviation, active power loss | Multi-objective artificial vultures optimization algorithm | Integration of MT and FC is ignored |
| 72 | 2023 | WT, PV, battery | Operating cost | PSO | Analysis of environmental pollution is ignored. Integration of MT and FC is ignored |
| 73 | 2023 | WT, PV, battery | Cost of electric vehicle aggregator | Twin delayed deep deterministic policy gradient algorithm | Analysis of environmental pollution is ignored. Integration of MT and FC is ignored |