Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm
The construction of the Electric Vehicle Integrated Energy Station (EV-IES) is a prerequisite for the rapid development of the EV industry. However, how to optimize the operation of the EV-IES is a problem worthy of study. Therefore, this paper designs an EV-IES model with PV and Energy Storage Syst...
Saved in:
| Main Authors: | Bangli Yin, Xiang Liao, Beibei Qian, Jun Ma, Runjie Lei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10319389/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations
by: Mahesh Kumar, et al.
Published: (2024-11-01) -
Dynamic Cluster Selection DAG Scheduling for Clustered Many-Core Processor Considering Inter-Cluster Communication
by: Yutaro Nozaki, et al.
Published: (2025-01-01) -
Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features
by: Atiya Masood, et al.
Published: (2025-01-01) -
Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization
by: Yunfei Yi, et al.
Published: (2025-01-01) -
MaOAOA: A Novel Many‐Objective Arithmetic Optimization Algorithm for Solving Engineering Problems
by: Pradeep Jangir, et al.
Published: (2025-03-01)