TY - JOUR
T1 - The impact of demand response programs on reducing the emissions and cost of a neighborhood home microgrid
AU - Fouladfar, Mohammad Hossein
AU - Loni, Abdolah
AU - Tookanlou, Mahsa Bagheri
AU - Marzband, Mousa
AU - Godina, Radu
AU - Al-Sumaiti, Ameena
AU - Pouresmaeil, Edris
N1 - UID/EMS/00667/2019.
The work is partially supported by the RDF studentship, the UoA12 flexible fund at the E&E faculty in Northumbria University, and the NSFC.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - The desire to increase energy efficiency and reliability of power grids, along with the need for reducing carbon emissions has led to increasing the utilization of Home Micro-grids (H-MGs). In this context, the issue of economic emission dispatch is worthy of consideration, with a view to controlling generation costs and reducing environmental pollution. This paper presents a multi-objective energy management system, with a structure based on demand response (DR) and dynamic pricing (DP). The proposed energy management system (EMS), in addition to decreasing the market clearing price (MCP) and increasing producer profits, has focused on reducing the level of generation units emissions, as well as enhancing utilization of renewable energy units through the DR programs. As a consequence of the nonlinear and discrete nature of the H-MGs, metaheuristic algorithms are applied to find the best possible solution. Moreover, due to the presence of generation units, the Taguchi orthogonal array testing (TOAT) method has been utilized to investigate the uncertainty regarding generation units. In the problem being considered, each H-MG interacts with each other and can negotiate based on their own strategies (reduction of cost or pollution). The obtained results indicate the efficiency of the proposed algorithm, a decrease in emissions and an increase in the profit achieved by each H-MG, by 37% and 10%, respectively.
AB - The desire to increase energy efficiency and reliability of power grids, along with the need for reducing carbon emissions has led to increasing the utilization of Home Micro-grids (H-MGs). In this context, the issue of economic emission dispatch is worthy of consideration, with a view to controlling generation costs and reducing environmental pollution. This paper presents a multi-objective energy management system, with a structure based on demand response (DR) and dynamic pricing (DP). The proposed energy management system (EMS), in addition to decreasing the market clearing price (MCP) and increasing producer profits, has focused on reducing the level of generation units emissions, as well as enhancing utilization of renewable energy units through the DR programs. As a consequence of the nonlinear and discrete nature of the H-MGs, metaheuristic algorithms are applied to find the best possible solution. Moreover, due to the presence of generation units, the Taguchi orthogonal array testing (TOAT) method has been utilized to investigate the uncertainty regarding generation units. In the problem being considered, each H-MG interacts with each other and can negotiate based on their own strategies (reduction of cost or pollution). The obtained results indicate the efficiency of the proposed algorithm, a decrease in emissions and an increase in the profit achieved by each H-MG, by 37% and 10%, respectively.
KW - Demand response
KW - Demand side management
KW - Emission reduction
KW - Home microgrid
UR - http://www.scopus.com/inward/record.url?scp=85066476327&partnerID=8YFLogxK
U2 - 10.3390/app9102097
DO - 10.3390/app9102097
M3 - Article
AN - SCOPUS:85066476327
SN - 2076-3417
VL - 9
JO - Applied Sciences
JF - Applied Sciences
IS - 10
M1 - 2097
ER -