Table 1 Comparison of the proposed tri-level optimization framework for ev integrated distribution systems with existing approaches.

From: Investigating the impact of electric vehicles on increasing the reliability of the distribution system using the enhanced gray wolf evolutionary algorithm model

Ref

Method/Model

Functionalities

Considerations

EV Integration

Reliability

Economic Analysis

Contingency Analysis

Charging Station Sizing

Our Paper

Tri-level Optimization for EV Integrated Distribution Systems

Coordinated planning and operation for EV systems, V2G scheduling, reliability, and operational feasibility

Stochastic load scenarios, N-1 contingencies, V2G participation

Yes

Yes

Yes

Yes

Yes

1

Review on EV Impact

General impacts on reliability, no optimization

No algorithm optimization

Yes

No

No

No

No

2

Limited Info Impact

Estimation of EV loading

No optimization

Yes

Yes

No

No

No

3

Data-driven Evaluation

Probabilistic evaluation of EV integration

No optimization

Yes

Yes

No

No

No

4

PSR Index & Hyena Optimizer

Impact of EV stations with distributed generation

No V2G scheduling

Yes

Yes

No

No

No

5

Battery Reliability Review

Battery pack reliability for EVs

No network optimization

No

No

No

No

No

6

Dynamic Thermal Line Rating

Impact of EVs on wind power networks

No optimization

Yes

Yes

No

No

No

7

Charging Impact Assessment

EV charging impact on distribution

No optimization

Yes

Yes

No

No

No

8

Techno-economic Analysis

EV-to-grid integration, reliability

Hybrid optimization method

Yes

Yes

Yes

No

Yes

9

Battery Prognosis for EVs

Battery health & degradation for EVs

No network optimization

No

No

No

No

No

10

PV & EV Charging Impact

Impact of PV and fast EV chargers

No optimization

Yes

Yes

No

No

No

11

Heat Pump Performance

EV charging system performance under low temps

No network optimization

No

No

No

No

No

12

Power Supply Restoration

EV impact on power restoration post-disaster

No optimization

Yes

Yes

No

No

No

13

Grid Integration Impact

EV grid integration with remedial measures

No optimization

Yes

Yes

No

No

No

14

Wind & EV Reliability

EV & wind turbine integration for reliability

No optimization

Yes

Yes

No

Yes

No

15

Probabilistic Mitigation

EV impact on power systems, probabilistic method

No optimization

Yes

Yes

No

No

No

16

Hybrid Optimization Method

EVs and renewable integration with hybrid optimizer

No V2G scheduling

Yes

Yes

No

No

Yes

17

Network Performance

EV integration performance

No optimization

Yes

Yes

No

No

No

18

Cost-effective Optimization

EV, renewable, and storage systems

Economic & reliability analysis

Yes

Yes

Yes

No

Yes

19

Deep Learning Approach

Forecasting EV charging with Bayesian networks

No optimization

Yes

No

No

No

Yes

20

MV Network Impact

EV chargers on medium voltage grid

No optimization

Yes

Yes

No

No

No

21

Dynamic Wireless Charging

Impact of dynamic wireless charging

No optimization

Yes

Yes

No

No

Yes

22

Power Quality Integration

Review of EV impact on power quality

No optimization

Yes

Yes

No

No

No

23

GHG Emissions Analysis

EV impact on GHG emissions

No optimization

Yes

No

No

No

No

24

Non-Intrusive Demand Response

Mitigation strategies for EV charging impacts

No optimization

Yes

Yes

No

No

No

25

EV Charging Expansion

Robust expansion planning

No optimization

Yes

Yes

Yes

No

Yes

26

Charging Piles & Swapping Stations

Integrated planning of charging and swapping stations

No optimization

Yes

Yes

No

Yes

No

27

Stochastic PV & EV Impact

Reliability analysis of PV and EV load

No optimization

Yes

Yes

No

Yes

No

28

EV Aggregators

Bidding strategy for EV aggregation

No optimization

Yes

Yes

No

Yes

No

29

EV Charging Network

Optimal planning of charging stations

No V2G scheduling

Yes

No

Yes

No

Yes

30

Safe Deep RL for EVs

Data-efficient bi-level deep RL method

No optimization

Yes

Yes

Yes

No

Yes

31

Distributed Coordination

Charge/discharge coordination in unbalanced grids

No V2G scheduling

Yes

Yes

No

Yes

No

32

ML-Based Control

ML-based control of EV charging

No optimization

Yes

Yes

No

No

Yes

33

Communication-Less Strategy

Charge coordination for islanded microgrids

No optimization

Yes

Yes

No

No

No

34

Energy & Computation Management

Joint management of EV energy and computation

No optimization

Yes

Yes

No

Yes

Yes

35

Optimal Allocation

Optimal allocation of EV charging stations and capacitors

No V2G scheduling

Yes

Yes

No

Yes

Yes