AI-Based Approach for Optimal Placement of EVCS and DG With Reliability Analysis

Bilal, Mohd; Rizwan, Muhammad; Alsaidan, Ibrahim; Almasoudi, Fahad M.

doi:10.1109/access.2021.3125135

Cited by 66 publications

(17 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In conventional risk assessment methods for power systems, as depicted in Figure 4, the availability state is generated based on the failure data of each component using various risk assessment techniques, such as Monte Carlo simulations [35], Markov chain [36], and also AI approaches [37]. Subsequently, the power availability of power generations (e.g.…”

Section: Conventional Methodsmentioning

confidence: 99%

A new risk assessment approach for design of hybrid microgrids considering stability issues

Azizi,

Blaabjerg,

Peyghami

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

Stability issues can significantly increase the risk of hybrid microgrids (HMGs), particularly during island mode operation. The dynamic performance of the system can induce constraints and stability margins that may elevate the loss of load probability. This paper presents a new stability‐oriented risk assessment model that bridges the conventional reliability models, stability, and system risk. The proposed model ensures the risk of the system by considering the redesign or reconfiguration of HMGs to address stability issues. First, the interlinking converters (ICs) DC‐link voltage stability is analysed to determine the acceptable power flow margins in rectifying and inversion mode. Next, the new general risk assessment model is introduced. The results show that the stability margin significantly increases the risk of the HMG, particularly when considering the aging of converters. The study also examines the impact of various load characteristics and ICs with different numbers but the same total size. In some cases, the risk is acceptable for the desired loads, or it can be reduced to an admissible level by reconfiguring the ICs. Finally, the paper demonstrates the effectiveness of the proposed model in the optimal design of HMGs, aiming to guarantee the system's risk.

show abstract

Section: Conventional Methodsmentioning

confidence: 99%

A new risk assessment approach for design of hybrid microgrids considering stability issues

Azizi,

Blaabjerg,

Peyghami

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…In the literature, Equations ( 12) and ( 13) were used to calculate the connectors at RCS and RCS capacity. However, Equation (12) gives maximum connectors at RCS. Consideration of maximum connectors at RCS results in high installation cost and less waiting time in queue.…”

Section: Stage 2: Optimal Sizing Of Rcsmentioning

confidence: 99%

“…Integration of SC reduced power loss and improved voltage profile. In Reference 12, the authors proposed hybrid grey wolf optimizer and PSO algorithm to optimally locate (electric vehicle charging station) EVCS and DGs in a distribution system. Authors in Reference 13 used demand side management approach for coordination of DGs, battery energy storages, and photo voltaic sources in the presence of EVs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi objective queue theory based optimal planning of rapid charging stations and distributed generators in coupled transportation and distribution network

2023

View full text Add to dashboard Cite

The environment is adversely affected by greenhouse gas (GHG) emissions from conventional combustion engines. In this regard, electric vehicles (EVs) are a viable transportation option that benefit the environment in reducing GHG emissions. Although the installation of rapid charging stations (RCSs) helps to promote EVs, installing these at improper locations in the distribution network worsens the voltage profile, increases power loss, and energy loss while travelling from EV's current location to RCS. Furthermore, RCS installation cost and waiting time at RCS need to be considered. Therefore, a two‐stage optimal planning is proposed in this article to address the issues stated above. In the first stage, simultaneous optimal planning of RCS and distributed generators is done to minimize active power loss, voltage deviation, EV user cost and to maximize voltage stability index. In the second stage, optimal number of connectors are decided to minimize the installation cost and waiting time in queue at RCS. Here, queuing model is considered to determine the waiting time. A test network of coupled IEEE 33 bus distribution system and transport network is proposed to validate the proposed methodology. Multi objective Rao algorithm (MORA) is used to solve the formulated optimization problems, and results are compared with non dominated sorting genetic algorithm (NSGA‐II) algorithm.

show abstract

“…Voltage magnitude constraint at each bus in the distribution network is held within the specified limits as defined below [39]:…”

Section: B Inequality Constraintsmentioning

confidence: 99%

Analysis of Optimal Integration of EVs and DGs Into CIGRE’s MV Benchmark Model

et al. 2022

View full text Add to dashboard Cite

In today's transportation sector, the growing number of electric vehicles (EVs) is progressively replacing petroleum-fueled vehicles, which are also expected to minimize greenhouse gas emissions. The main problem with EVs is the requirement of charging energy, which is fed through distribution network, while simultaneously feeding already connected load. The EV's integration with the distribution network will overload the network due to EV's charging load, which will eventually trip the power system protection. In this context, it is necessary to minimize power losses, improve voltage profile with sustainable power supply network. Therefore, optimal placement of EVs is required in the distribution network. Conventionally, researchers have used DGs to minimize power losses and improve voltage profile. In this paper, authors analyzed the effect of EV's integration with simultaneous placement of distributed generations (DGs). The integration of EVs with higher penetration of DGs is cumbersome due to higher power losses and voltage variances that are outside allowable boundaries. The optimal placement of EVs into the distribution system with higher penetration of DGs is proposed in this paper using a battle royale optimization (BRO) algorithm. Since it is a new problem on CIGRE network which is not discussed before. Hence, the authors compared results with three most famous algorithms namely genetic algorithm (GA), particle swarm optimization (PSO), and accelerated PSO (APSO). The optimization problem is developed as a multi-objective function while decreasing active and reactive power losses, and minimising maximum voltage deviation index. The studied distribution network is the CIGRE 14-bus medium voltage (MV) distribution network. Three case studies are taken in which EVs are integrated in two scenarios with optimally sized and located DGs systems in the CIGRE distribution network using MATLAB. Case-1 includes simple network with DGs integration. Case-2 includes EVs only in the simple network, and case-3 finally includes EVs and DGs for optimal placement with minimum losses. The placement of the EVs results in a decrease in power losses and voltage deviation indices. The bus voltages of case-2, on the other hand, stay unchanged when the EVs are integrated. Case 3 with BRO showed the large reduction in power losses owing to the addition of EVs to the distribution network with DGs (from 19.98 kW, and 19.89 kVar to 2.54 kW, and 3.35 kVar).INDEX TERMS Accelerated PSO (APSO), battle royale optimization (BRO) algorithm, CIGRE 14-bus MV distribution network, distributed generators, genetic algorithm (GA), multi-objective optimization, optimal placement of EVs, particle swarm optimization (PSO), power loss minimization, and voltage profile improvement.

show abstract

AI-Based Approach for Optimal Placement of EVCS and DG With Reliability Analysis

Cited by 66 publications

References 54 publications

A new risk assessment approach for design of hybrid microgrids considering stability issues

A new risk assessment approach for design of hybrid microgrids considering stability issues

Multi objective queue theory based optimal planning of rapid charging stations and distributed generators in coupled transportation and distribution network

Analysis of Optimal Integration of EVs and DGs Into CIGRE’s MV Benchmark Model

Contact Info

Product

Resources

About