Loading…

Modeling and planning of smart buildings energy in power system considering demand response

The development of industry and the increasing of the energy demand in the today’s power system make it possible to maximize the potential of existing and renewable energy resources. On the other hand, using of these resources required efficient management and planning model, because without the ade...

Full description

Saved in:
Bibliographic Details
Published in:Energy (Oxford) 2020-12, Vol.213, p.118770, Article 118770
Main Authors: Dadashi-Rad, Mohammad Hosein, Ghasemi-Marzbali, Ali, Ahangar, Roya Ahmadi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The development of industry and the increasing of the energy demand in the today’s power system make it possible to maximize the potential of existing and renewable energy resources. On the other hand, using of these resources required efficient management and planning model, because without the adequate energy management, the power system cannot reach a high-performance model with maximum efficiency. Therefore, this paper first addresses the modeling of energy management in smart buildings having responsive/non-responsive devices and renewable photovoltaic resources. To manage the solar system employment, the KNX protocol is used. Also, the batteries are used in a way that they are charged at low power consumption and it will be as a generating unit during the peak-load time, therefore, the objective function is minimizing the power system loss and the related cost. Since the proposed model is nonlinear and has some complexity, the particle swarm algorithm (PSO) is used. To achieve the minimum losses, the best candidate buses are selected based on the proposed sensitivity analysis to manage the connected buildings. As a result, the function of the overall cost is based on the amount of energy produced and sold. Finally, the presented model is examined and evaluated on modified IEEE 30-bus test system based on the statistical analysis in different scenarios. Moreover, it is conclude from the planning that the operating cost significantly controls by the charge and discharge mechanism of the battery and the photovoltaic units.
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2020.118770