Moth search: Variants, hybrids, and applications

J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

A comprehensive review on coordinated charging of electric vehicles in distribution networks

I Chandra, NK Singh, P Samuel - Journal of Energy Storage, 2024 - Elsevier
The active participation of electric vehicles (EVs) in both the transportation sector and
energy systems is essential to curb the ever-increasing greenhouse gas emissions. EV …

[PDF][PDF] Voltage regulation of DC micro grid system using PV and battery coupled SEPIC converter

RN Rao, M Sreenivasulu… - International Journal of …, 2023 - academia.edu
This paper deals with the voltage regulation of DC micro grid system using photovoltaic and
battery coupled single-ended primary-inductor converter (SEPIC) converter. SEPIC …

A Deep Learning-Based Islanding Detection Approach by Considering the Load Demand of DGs Under Different Grid Conditions

G Bayrak, A Yılmaz - … Techniques for Renewable Energy Generation and …, 2023 - Springer
Islanding detection is a very important issue in the integration of renewable energy systems
with the grid. In recent years, especially artificial intelligence and deep learning-based …

Preventive maintenance decision model of electric vehicle charging pile based on mutation operator and life cycle optimization

J Cai, X Ding, Z Jiang, J Chen… - Energy Science & …, 2024 - Wiley Online Library
This paper proposes a preventive maintenance decision model for electric vehicle charging
stations based on mutation operators and lifecycle optimization to address the impact of …

含电动汽车的微电网多目标优化调度研究

孟祥泽 - 黑龙江电力, 2024 - epjournal.csee.org.cn
为维护电力系统稳定性, 降低区域电网等效负荷波动, 提高可再生能源消纳能力, 建立包含风电,
光伏, 电动汽车, 燃气轮机等主要设备的含电动汽车微电网系统模型. 以综合运行成本最低 …

Dynamic Programming for Optimal Battery Energy Control in e-CNY Vehicle-to-Grid Implementation

Y Shen, T He, J Xie, W Liang - 2022 4th International …, 2022 - ieeexplore.ieee.org
In this paper, the dynamic programming for optimal battery energy control in e-CNY vehicle-
to-grid implementation is investigated from two levels. At the hardware implementation level …

Fault optimization module design of power exercise decision system based on optimized Bi-LSTM model

K Wei, B Che, H Wang, Y Sun - 2023 4th International …, 2023 - ieeexplore.ieee.org
In order to improve the accuracy of fault optimization results and optimize the operation of
the power exercise decision-making system, the Bi-LSTM model is introduced and the fault …