The impact of storage device losses on energy hub management in the presence of a distributed generation and load shift program

• Published in: Electric power systems research 2024-08, Vol.233, p.110494, Article 110494
• Main Authors: Moghaddam, Seyed Mohammad Reza Alamdar, Hosseini, Seyed Ali, Pourhossein, Javad
• Format: Article
• Language: English
• Subjects: Demand response; Distributed generation; Electric vehicle charging station; Energy hub management; Storage devices
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2024.110494

•Optimum energy management using linear programming considering the possibility of load outages.•Considering the demand response program and considering its cost in the total cost.•Considering electrical storage (EVCS) and thermal storage in the EH.•Considering charging and discharging losses of storage devices.•Considering the uncertainty about the capacity of the EVCS. Energy hub (EH) management faces challenges with the emergence of equipment such as electric vehicle charging stations (EVCSs) and distributed generations (DGs). In addition, the loss of storage devices located in the EH increases costs. In this paper, using linear programming, EH management is investigated in four scenarios, and the impact of losses from storage devices such as EVCSs on the cost is analyzed. The objective function of this problem considers the cost of energy carriers and possible load outages, which is considered by a linear function. Energy hub modeling involves a transformer converter, combined heat and power, a heat exchanger, and electrical and thermal storage devices. Also, the impacts of storage losses, DGs, and load shift programs on possible load outages are investigated. The simulation results show that the losses of the storage devices increase the outage of the electrical load and the cost of the energy hub by 0.20 p.u. (3.58 %) and 39.93 p.u. (1.69 %), respectively. Additionally, the average power stored in the EVCS with a value of 0.63 p.u. with the implementing load shift programs is greater than in the rest of the scenarios, which shows that the EVCS is discharged less in this scenario than in the rest of the scenarios. Finally, the results of the introduced scenarios are compared to assess the effect of each factor on outage and hub energy costs. The proposed approach can be a suitable tool for the system operator to reach the optimal solution.