TY - GEN
T1 - Efficient energy managemet system based on demand shifts in domestic grid considering emission and tax on carbon
AU - Fouladfar, Mohammad Hossein
AU - Baharvandi, Amir
AU - Marzband, Mousa
AU - Saeed, Nagham
AU - Al-Sumaiti, Ameena Saad
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/15
Y1 - 2020/9/15
N2 - Nowadays, there is a global need for energy management to reduce cost, planet damage and dependence on fossil fuels to save energy. In this paper, we suggest an efficient Energy Management System (EMS) with an emphasis on Demand Response (DR), the planning of generation units in the grid and exchanges between the grid and the upstream network, with the aim of reducing the Market Clearing Price (MCP), Emission Reduction (ER) and consequently reductions of Tax on Carbon (ToC). In the proposed problem, technical and economic constraints include any producer/consumer equipment, as well as the DR, ER, ToC, MCP and grid connection requirements to the main upstream network. To find the best possible solution, Particle Swarm Optimization (PSO) methodology is applied. The obtained results showed a noticeable decrease in MCP and ER by 37% and 55%, respectively.
AB - Nowadays, there is a global need for energy management to reduce cost, planet damage and dependence on fossil fuels to save energy. In this paper, we suggest an efficient Energy Management System (EMS) with an emphasis on Demand Response (DR), the planning of generation units in the grid and exchanges between the grid and the upstream network, with the aim of reducing the Market Clearing Price (MCP), Emission Reduction (ER) and consequently reductions of Tax on Carbon (ToC). In the proposed problem, technical and economic constraints include any producer/consumer equipment, as well as the DR, ER, ToC, MCP and grid connection requirements to the main upstream network. To find the best possible solution, Particle Swarm Optimization (PSO) methodology is applied. The obtained results showed a noticeable decrease in MCP and ER by 37% and 55%, respectively.
KW - Demand Respond
KW - Emission Reduction
KW - Energy Management System
KW - Particle Swarm Optimization
KW - Tax on Carbon
UR - http://www.scopus.com/inward/record.url?scp=85096911022&partnerID=8YFLogxK
U2 - 10.1109/SPIES48661.2020.9243011
DO - 10.1109/SPIES48661.2020.9243011
M3 - Conference contribution
AN - SCOPUS:85096911022
T3 - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
SP - 554
EP - 559
BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Y2 - 15 September 2020 through 18 September 2020
ER -
