JOURNAL ARTICLE

Optimized power flow control of smart grids with electric vehicles and DER

Metody GeorgievRad StanevAnastassia Krusteva

Year: 2019 Journal:   2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA) Pages: 1-6

Abstract

In this article an application for optimization of the energy flows in smart power systems consisting of electric vehicles (EV), distributed energy sources (DER), flexible loads and bidirectional storage is proposed. An optimization model for energy distribution between electric vehicles, electric storage devices and photovoltaic generators is presented. A nonlinear optimization problem with linear constrains for optimizing the power flows in the system is defined and solved. A multi-objective problem is defined in respect to satisfy PV production criteria and to maximize the power flow to the EVs. An algorithm for finding the optimal solution of the multi-objective optimization problem is proposed. The approach is very useful for energy flow control and analyzis of DER behavior. The algorithm proposed for solving multi-objective problem is applicable when a storage and PV generation units are used in the DER system. The advantages of external storage utilization in the distributed systems are shown.

Keywords:
Energy storage Computer science Photovoltaic system Distributed generation Optimization problem Mathematical optimization Smart grid Electricity generation Energy flow Electric power system Power (physics) Power flow Energy (signal processing) Control engineering Engineering Renewable energy Electrical engineering Algorithm Mathematics

Metrics

10
Cited By
4.90
FWCI (Field Weighted Citation Impact)
10
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Vehicles and Infrastructure
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Battery Technologies Research
Physical Sciences →  Engineering →  Automotive Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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