Integration of Electric Vehicles and Wind Energy in Power Systems

2020 ◽  
pp. 165-181
Author(s):  
Morteza Shafiekhani ◽  
Ali Zangeneh
Keyword(s):  
Power Systems ◽  
Wind Energy ◽  
Electric Vehicles

scholarly journals Marginal Uncertainty Cost Functions for Solar Photovoltaic, Wind Energy, Hydro Generators, and Plug-In Electric Vehicles

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6375
Author(s):  
Elkin D. Reyes ◽  
Arturo S. Bretas ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Wind Energy ◽  
Electric Vehicles ◽  
Smart Grids ◽  
Electrical Power ◽  
Energy Generation ◽  
Cost Functions ◽  
Solar Photovoltaic ◽  
Electrical Power Systems ◽  
High Penetration

The high penetration of renewable sources of energy in electrical power systems implies an increase in the uncertainty variables of the economic dispatch (ED). Uncertainty costs are a metric to quantify the variability introduced from renewable energy generation, that is to say: wind energy generation (WEG), run-of-the-river hydro generators (RHG), and solar photovoltaic generation (PVG). On other side, there are associated uncertainties to the charge/uncharge of plug-in electric vehicles (PEV). Thus, in this paper, the uncertainty cost functions (UCF) and their marginal expressions as a way of modeling and assessment of stochasticity in power systems with high penetration of smart grids elements is presented. In this work, a mathematical analysis is presented using the first and second derivatives of the UCF, where the marginal uncertainty cost functions (MUCF) and the UCF’s minimums for PVG, WEG, PEV, and RHG are derived. Further, a model validation is presented, considering comparative test results from the state of the art of the UCF minimum, developed in a previous study, to the minimum reached with the presented (MUCF) solution.

scholarly journals Optimal Pricing of Vehicle-to-Grid Services Using Disaggregate Demand Models

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1090
Author(s):  
Charilaos Latinopoulos ◽  
Aruna Sivakumar ◽  
John W. Polak
Keyword(s):  
Power Systems ◽  
Electric Vehicles ◽  
Power Grids ◽  
Local Distribution ◽  
Technical Problems ◽  
Vehicle To Grid ◽  
Distribution Transformers ◽  
Demand Models ◽  
Multiple Vehicles ◽  
Infrastructure Investments

The recent revolution in electric mobility is both crucial and promising in the coordinated effort to reduce global emissions and tackle climate change. However, mass electrification brings up new technical problems that need to be solved. The increasing penetration rates of electric vehicles will add an unprecedented energy load to existing power grids. The stability and the quality of power systems, especially on a local distribution level, will be compromised by multiple vehicles that are simultaneously connected to the grid. In this paper, the authors propose a choice-based pricing algorithm to indirectly control the charging and V2G activities of electric vehicles in non-residential facilities. Two metaheuristic approaches were applied to solve the optimization problem, and a comparative analysis was performed to evaluate their performance. The proposed algorithm would result in a significant revenue increase for the parking operator, and at the same time, it could alleviate the overloading of local distribution transformers and postpone heavy infrastructure investments.

Time-series models for reliability evaluation of power systems including wind energy

1996 ◽  
Vol 36 (9) ◽  
pp. 1253-1261 ◽  
Author(s):  
R. Billinton ◽  
Hua Chen ◽  
R. Ghajar
Keyword(s):  
Time Series ◽  
Power Systems ◽  
Wind Energy ◽  
Reliability Evaluation ◽  
Time Series Models

Capacity expansion of small isolated power systems using PV and wind energy

2001 ◽  
Vol 16 (4) ◽  
pp. 892-897 ◽  
Author(s):  
R. Billinton ◽  
R. Karki
Keyword(s):  
Power Systems ◽  
Wind Energy ◽  
Capacity Expansion
Sign in / Sign up

Export Citation Format

Share Document