TY - JOUR
T1 - A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies
AU - Dey, Bishwajit
AU - Chanu, Laishram Khumanleima
AU - Sharma, Gulshan
AU - Bokoro, Pitshou N.
N1 - Publisher Copyright:
© 2025
PY - 2025/6
Y1 - 2025/6
N2 - The aim of demand side management (DSM) is to optimize a distribution system's performance and operation economically. For reducing the system's peak demand, DSM integrates load curtailment and shifting methods. In the load curtailment technique, customers are offered incentives to take part in lowering the load during peak hours and hence are referred to as incentive-based demand response (IBDR). The load shifting method, which is optimization-based, fills in the valleys to lower the peak by shifting the elastic loads to hours whenever the electricity price is low. The objective of this novel work is to optimize the scheduling of distributed generations (DG) in a low-voltage microgrid (MG) system by implementing amalgamated load curtailment and shifting techniques to minimize the total costs of generation. The MG system provides the provision to charge plug-in hybrid electric vehicles (PHEV), which brings complexities to the work. Consequently, a smart charging strategy based on the electricity market price imposed by utilities is recommended for PHEV charging integration to lower the daily charging cost as a whole. Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) methods are integrated in this approach. The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. Numerical results show that the total operating cost (TOC) of the MG system reduced from $25,575 during the base load model to $24,521 when the proposed hybrid DSM was implemented. It is to be noted that this TOC also includes a $28 incentive to be awarded to the MG customers for participating in DSM policies. Some of the additional benefits of implementing the hybrid DSM strategy were a 24 % reduction in peak load demand, a 22 % improvement in load factor, and 50 kWh of energy saved at the end of the day. Furthermore, inclusion of smart PHEV charging brought down the TOC to $24,443, thereby proving that the combination of hybrid DSM strategy with smart PHEV charging is the most economical method of operation for the MG system.
AB - The aim of demand side management (DSM) is to optimize a distribution system's performance and operation economically. For reducing the system's peak demand, DSM integrates load curtailment and shifting methods. In the load curtailment technique, customers are offered incentives to take part in lowering the load during peak hours and hence are referred to as incentive-based demand response (IBDR). The load shifting method, which is optimization-based, fills in the valleys to lower the peak by shifting the elastic loads to hours whenever the electricity price is low. The objective of this novel work is to optimize the scheduling of distributed generations (DG) in a low-voltage microgrid (MG) system by implementing amalgamated load curtailment and shifting techniques to minimize the total costs of generation. The MG system provides the provision to charge plug-in hybrid electric vehicles (PHEV), which brings complexities to the work. Consequently, a smart charging strategy based on the electricity market price imposed by utilities is recommended for PHEV charging integration to lower the daily charging cost as a whole. Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) methods are integrated in this approach. The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. Numerical results show that the total operating cost (TOC) of the MG system reduced from $25,575 during the base load model to $24,521 when the proposed hybrid DSM was implemented. It is to be noted that this TOC also includes a $28 incentive to be awarded to the MG customers for participating in DSM policies. Some of the additional benefits of implementing the hybrid DSM strategy were a 24 % reduction in peak load demand, a 22 % improvement in load factor, and 50 kWh of energy saved at the end of the day. Furthermore, inclusion of smart PHEV charging brought down the TOC to $24,443, thereby proving that the combination of hybrid DSM strategy with smart PHEV charging is the most economical method of operation for the MG system.
KW - Affordable and clean energy
KW - Demand response
KW - Load shifting policy
KW - Microgrid
KW - Phev
UR - http://www.scopus.com/inward/record.url?scp=105004652599&partnerID=8YFLogxK
U2 - 10.1016/j.rineng.2025.105176
DO - 10.1016/j.rineng.2025.105176
M3 - Article
AN - SCOPUS:105004652599
SN - 2590-1230
VL - 26
JO - Results in Engineering
JF - Results in Engineering
M1 - 105176
ER -