Transactive demand side management programs in smart grids with high penetration of EVs

Poria Hasanpor Divshali, Bong Jun Choi, Hao Liang, Lennart Söder

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

Original languageEnglish
Article number1640
JournalEnergies
Volume10
Issue number10
DOIs
Publication statusPublished - 18 Oct 2017
MoE publication typeA1 Journal article-refereed

Fingerprint

Smart Grid
Penetration
Costs
Real-time
Pricing
Customers
Market Equilibrium
Competition Model
Iterative methods
Computational complexity
Electricity
Imperfect
Power System
Demand
Demand side management
Computational Complexity
Economics
Heuristics
Optimization Problem
Minimise

Keywords

  • Electrical vehicle
  • Oligopoly market
  • Power system management
  • Smart grids
  • Supply and demand

Cite this

Divshali, Poria Hasanpor ; Choi, Bong Jun ; Liang, Hao ; Söder, Lennart. / Transactive demand side management programs in smart grids with high penetration of EVs. In: Energies. 2017 ; Vol. 10, No. 10.
@article{bb2fa0cc14a4449bb68231b5a71a5d18,
title = "Transactive demand side management programs in smart grids with high penetration of EVs",
abstract = "Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.",
keywords = "Electrical vehicle, Oligopoly market, Power system management, Smart grids, Supply and demand",
author = "Divshali, {Poria Hasanpor} and Choi, {Bong Jun} and Hao Liang and Lennart S{\"o}der",
year = "2017",
month = "10",
day = "18",
doi = "10.3390/en10101640",
language = "English",
volume = "10",
journal = "Energies",
issn = "1996-1073",
publisher = "MDPI",
number = "10",

}

Transactive demand side management programs in smart grids with high penetration of EVs. / Divshali, Poria Hasanpor; Choi, Bong Jun; Liang, Hao; Söder, Lennart.

In: Energies, Vol. 10, No. 10, 1640, 18.10.2017.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Transactive demand side management programs in smart grids with high penetration of EVs

AU - Divshali, Poria Hasanpor

AU - Choi, Bong Jun

AU - Liang, Hao

AU - Söder, Lennart

PY - 2017/10/18

Y1 - 2017/10/18

N2 - Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

AB - Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

KW - Electrical vehicle

KW - Oligopoly market

KW - Power system management

KW - Smart grids

KW - Supply and demand

UR - http://www.scopus.com/inward/record.url?scp=85040308075&partnerID=8YFLogxK

U2 - 10.3390/en10101640

DO - 10.3390/en10101640

M3 - Article

VL - 10

JO - Energies

JF - Energies

SN - 1996-1073

IS - 10

M1 - 1640

ER -