Improved hybrid inexact optimal scheduling of virtual powerplant (VPP) for zero-carbon multi-energy system (ZCMES) incorporating Electric Vehicle (EV) multi-flexible approach.

2021 ◽  
pp. 129294
Author(s):  
Tobi Michael Alabi ◽  
Lin Lu ◽  
Zaiyue Yang
Keyword(s):  
Electric Vehicle ◽  
Energy System ◽  
Optimal Scheduling ◽  
Flexible Approach ◽  
Zero Carbon

scholarly journals Smart electric vehicle charging strategies for sectoral coupling in a city energy system

2021 ◽  
Vol 288 ◽  
pp. 116640
Author(s):  
Verena Heinisch ◽  
Lisa Göransson ◽  
Rasmus Erlandsson ◽  
Henrik Hodel ◽  
Filip Johnsson ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Energy System ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

Privacy-preserving distributed optimal scheduling of regional integrated energy system considering different heating modes of buildings

2021 ◽  
Vol 237 ◽  
pp. 114096
Author(s):  
Houhe Chen ◽  
Yutong Zhang ◽  
Rufeng Zhang ◽  
Chuqiao Lin ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Energy System ◽  
Privacy Preserving ◽  
Optimal Scheduling ◽  
Integrated Energy System

Optimal scheduling for electric vehicle battery swapping-charging system based on nanogrids

2021 ◽  
Vol 130 ◽  
pp. 106967
Author(s):  
Mingfei Ban ◽  
Zhanpeng Zhang ◽  
Chengyu Li ◽  
Zhenjie Li ◽  
Yiqi Liu
Keyword(s):  
Electric Vehicle ◽  
Optimal Scheduling ◽  
Charging System ◽  
Electric Vehicle Battery

Design and Feasibility Analysis of Hybrid Energy-Based Electric Vehicle Charging Station

2021 ◽  
Author(s):  
Venkatesh Boddapati ◽  
S Arul Daniel
Keyword(s):  
Electric Vehicle ◽  
Autonomous Vehicles ◽  
Operating Cost ◽  
Energy System ◽  
Solar Pv ◽  
Diesel Generator ◽  
Hybrid Energy ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Mobility has been changing precipitously in recent years. With the increasing number of electric vehicles (EV), travel-sharing continues to grow, and ultimately, autonomous vehicles (AV) move into municipal fleets. These changes require a new, distributed, digitalised energy system, maintenance, and growing electrification in transportation. This paper proposes the designing of an Electric Vehicle Charging Station (EVCS) by using hybrid energy sources such as solar PV, wind, and diesel generator. The proposed system is mathematically modelled and designed using the Hybrid Optimization Model for Multiple Energy Resources (HOMER). The system is analysed and assessed in both autonomous mode and grid-connected mode of operation. The optimum sizing, energy yields of the system in each case is elaborated, and the best configuration is found for design. The variations in Levelized Cost Of the Energy (LCOE), Net Present Cost (NPC), initial cost, and operating cost of the various configuration are presented. From the results, it is observed that the grid-connected EVCS is more economical than the autonomous EVCS. Further, a sensitivity analysis of the EVCS is also performed.

A nonlinear model-based dynamic optimal scheduling of a grid-connected integrated energy system

Energy ◽  
2022 ◽  
pp. 123115
Author(s):  
Fang Liu ◽  
Qiu Mo ◽  
Yongwen Yang ◽  
Pai Li ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Energy System ◽  
Optimal Scheduling ◽  
Model Based ◽  
Integrated Energy System
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