Table 3.
Main features of previous studies.
| Pub. | Considerations | Optimization techniques | Objective function |
|---|---|---|---|
| 118 (2021) |
Arrival pattern of vehicles Irregular solar photovoltaic power Management of energy storage systems The costs of investments, operations, upkeep, and penalties |
AMPL with a Gurobi solver | Profit maximization |
| 115 (2022) |
Electric vehicle charging stations (EVCS) and distributed generators (DG) G2V and V2G operation modes |
PSO, or simultaneous particle swarm optimization | Minimizing power losses |
| 104 (2022) |
Distribution network facilities for DG units, battery energy storage systems (BESS) units, and EVCS facilities Uncertainties related to load usage, solar irradiance, and power costs |
Reinforcement learning (RL)-based algorithm Multi-stage, hybrid optimization scheme |
Minimization of power losses Voltage fluctuations Operation and maintenance cost CO2 emission cost |
| 121 (2021) | The optimum possible configuration of the imbalanced redial distribution scheme for the EVCS | Particle Swarm Optimization technique (PSO) | Reducing costs associated with installing and erecting tie-lines |
| 122 (2021) | Taking EV load uncertainty, grid-connected EVCS with renewable energy sources (RES) planning is investigated | HOMER software |
Maximizing RES utilization. Minimizing the construction cost The grid’s fluctuating electricity supply |
| 112 (2021) | The grid’s and electric vehicle owners’ connected benefit | Voronoi diagram combined with improved PSO | Minimizing the social cost |
| 117 (2013) | Environmental issues and service radius of EVCS | Modified primal–dual interior point algorithm | Minimizing grid loss |
| 123 (2018) | A combination of multi-type charging facilities | Mixed integer second-order cone programming | Minimizing the social cost of the whole charging system |
| 105 (2017) | Optimal placement/sizing of EVCS in the city of Allahabad | Hybrid algorithm based on genetic algorithm and PSO | Reducing the cost of developing, constructing, and maintaining |
| 106 (2015) |
Grid voltage profile The day-ahead load characteristic’s hourly peak demand ratio, wind speed, and sun irradiation |
A differential evolution algorithm |
Minimizing power losses Charging costs of EVs |
| 120 (2014) | Stations for fast battery swapping and charging in distribution networks | A modified differential evolution algorithm | Maximization of net present value |
| 112 (2018) | The location and sizing of FCSs and distributed generations (DGs), considering constraints like the proportion of EVs in each zone and the maximum number of FCSs possible given the planned system’s road and electrical infrastructure | A mixed integer non-linear problem (MINLP) and Non-dominated sorting genetic algorithm II (NSGA-II) | Minimize of the investment cost of CSs and DG units voltage deviation, and power losses |
| 110 (2020) |
The integration of natural gas, transportation, and active distribution networks Strategies of renewable energy generation and the effect of traffic flow |
A mixed-integer nonlinear program problem | Environmental performance |
| 114 (2021) | Uncertainty in PV, wind, and load power |
Bi-level met heuristic-based solution The grey wolf optimization (GWO) |
Maximizing RES and EV decision variables |
| 107 (2020) | Static, dynamic, and heuristic on balanced radial distribution system | Multiple objective particle swarm optimization (MOPSO) |
Minimizing losses Reliability of the system thermal stability |
| 116 (2021) | Reactive power compensation effect | A hybrid of grey wolf optimization and PSO |
Minimizing the active power loss Maximizing the net profit |
| 111 (2022) | The user’s satisfaction and the ease of charging are considered | An immune algorithm | Maximum electric vehicle user satisfaction |
| 124 (2022) | Three types of flooding are considered: riverine flooding, sea-level rise-induced chronic flooding, and coastal flooding brought on by hurricanes | Non-dominated sorting genetic algorithm-III (NSGA-III) and the technique for order of preference by similarity to ideal solution (TOPSIS) |
Decrease the charging convenience Decrease the impact of flood hazards |
| 119 (2022) | A planning strategy for PV/storage fast charging stations that considers demand response | Non-dominated sorting genetic algorithm (NSGA-II) |
Maximizing the revenue from fees paid to service providers Minimizing the total charging time of EVs |
| 113 (2020) | Both traffic and the power distribution grid, the constraints of safe and stable grid operation | A linearized generalized Bender’s decomposition algorithm | Maximizing the profit |
| 102 (2021) | Convenience for EV users, station economic profit, the effect on distribution systems, and the impact on the environment | Multi-objective binary and non-dominated sorting genetic algorithm | Minimizing queuing time, station economy |
| 103 (2023) |
A hybrid nuclear-renewable energy system Emission COE, GHG emissions, O&M cost, and ROI |
HOMERPro software | Minimizing the cost of different emissions, O&M, and ROI |