Benefit maximization of demand side management operator (DSMO) and private investor in a distribution network

In this paper, the beneficial impact of private investor participation and demand side management operator (DSMO) in planning problem is investigated. All system uncertainties are modeled by fuzzy number approach. Bi-objective optimization model is proposed for the maximum benefit of DSMO and privat...

Full description

Saved in:
Bibliographic Details
Published in:Sustainable cities and society Vol. 40; pp. 625 - 637
Main Authors: Hosseinnia, Hamed, Nazarpour, Daryoush, Talavat, Vahid
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.07.2018
Subjects:
Demand response program (DRP)
Fuzzy decision making method
Uncertainties
ε-Constraint algorithm
Fuzzy decision making method
Uncertainties
ε-Constraint algorithm
Demand response program (DRP)
ISSN:2210-6707, 2210-6715
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, the beneficial impact of private investor participation and demand side management operator (DSMO) in planning problem is investigated. All system uncertainties are modeled by fuzzy number approach. Bi-objective optimization model is proposed for the maximum benefit of DSMO and private investor in the planning horizon. To tackle the optimization problem, ε-constraint and fuzzy decision making methods are jointly used. Different scenarios are modeled including and excluding electric vehicles (EVs) charging impact on the daily load curve. The problem is formulated in the general algebraic modeling system (GAMS) environment and solved by its embedded high-performance solvers. The obtained results reveal that the desired benefits of a private investor cannot be satisfied in the no benefit sharing scenario. In non-zero benefit sharing scenario, Pareto optimal front includes non-negative values for both DSMO and private investor which demonstrates the beneficial solutions. Followed by adding EVs charging load to the daily load curve, the total benefits of private investor and DSMO are reduced up to 13.33% and 30.44%, respectively. Furthermore, employing smart charge/discharge behavior increases private investor and DSMO benefits up to 32.04% and 14.76%, respectively.
ISSN:2210-6707
2210-6715
DOI:10.1016/j.scs.2018.04.022