Speed trajectory optimisation for electric vehicles in eco-approach and departure using linear programming

2016 ◽  
Author(s):  
Shaofeng Lu Shaofeng Lu ◽  
Fei Xue Fei Xue ◽  
Tiew On Ting Tiew On Ting ◽  
Yang Du Yang Du
Keyword(s):  
Linear Programming ◽  
Electric Vehicles ◽  
Trajectory Optimisation

Optimal Day-Ahead Scheduling for Campus Microgrid by using MILP Approach

2021 ◽  
Vol 4 (2) ◽  
pp. 21-27
Author(s):  
Sharyar ul Hassan Hashmi ◽  
Abasin Ulasyar ◽  
Haris Sheh Zad ◽  
Abraiz Khattak ◽  
Kashif Imran
Keyword(s):  
Linear Programming ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
Environmental Benefits ◽  
Operational Cost ◽  
Diesel Generator ◽  
Distributed Generators ◽  
Cost Of Energy ◽  
Self Powered

In this paper, energy management system (EMS) is proposed for institution which helps in reducing the operational cost with the help of using different distributed generators (DGs) and electric vehicles. For this purpose, a scenario is created in which university is connected with national grid having self-powered PV plant, electric vehicles and a diesel generator. Impact of various distributed generators and optimally scheduled energy storage system (ESS) are analyzed for the university campus which helps in reducing operational cost of energy by using campus load data. The proposed model consist of different distributed generators and their effects are observed in various scenarios. Mix Integer linear programming (MILP) is used to get optimized result and then it is compared with Ant Colony Optimization and Linear programming (LP) techniques. Economic and environmental benefits are also discussed. Operational cost was measured and compared and found the role of ESS by using MILP in minimizing operational cost from $798.560 to $756.3850.

Economic Performance Model of New Energy Vehicles Based on Linear Programming

2013 ◽  
Vol 389 ◽  
pp. 97-101
Author(s):  
Yu Ning Wang ◽  
Hui Ming Zeng ◽  
Bin Xiang Hu
Keyword(s):  
Linear Programming ◽  
Life Cycle ◽  
Electric Vehicles ◽  
Life Cycle Cost ◽  
Cost Model ◽  
Influence Factors ◽  
Performance Model ◽  
Middle Level ◽  
New Energy ◽  
New Energy Vehicles

In order to evaluate the economy performance of new energy vehicles, the life-cycle cost theory is applied. A formula of quantitative analysis in combination is adopted to have in-depth study on the life-cycle cost of new energy vehicles. Analysis and argumentation are also conducted in comparison pure-electric vehicles, hybrid electric vehicles and traditional oil-fueled vehicles under the condition of present oil price, the analysis result shows that if despite the battery cost, PEV costs the fewest because of the lowest operation costs and energy costs, the cost of HEV is at a middle level. Therefore, customers and manufacturers may become more interested in PEV than in other solutions. Furthermore, a decision tool by setting up a cost model based on linear programming theory is developed, economic influence factors for the application of new energy vehicles are further discussed through sensitivity analysis.

scholarly journals Intelligent Resource Management in the context of a Microgrid of Smart Buildings

2021 ◽  
Vol 19 ◽  
pp. 465-470
Author(s):  
Sérgio Ramos ◽  
◽  
Joao Soares ◽  
Zahra Foroozandeh ◽  
Inés Tavares ◽  
...  
Keyword(s):  
Linear Programming ◽  
Energy Management ◽  
Distributed Generation ◽  
Electric Vehicles ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Realistic Case ◽  
Electricity Cost ◽  
Using Data

This paper presents intelligent energy management with penetration of Distributed Generation (DG) and Electric Vehicles (EVs). The envisaged problem is a hard combinatorial Mixed-Integer Linear Programming (MILP) problem due to the continuous, discrete, and binary variables. The proposed problem focuses on minimizing the electricity cost. The MILP problem is modelled with a deterministic technique, namely TOMLAB, using a CPLEX solver. This paper includes a realistic case study using data collected from two real buildings facilities (consumption and generation profiles).

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