scholarly journals Intelligent home energy management system for distributed renewable generators, dispatchable residential loads and distributed energy storage devices

Author(s):  
Adetokunbo Ajao ◽  
Jingwei Luo ◽  
Zheming Liang ◽  
Qais H. Alsafasfeh ◽  
Wencong Su
Author(s):  
V Pramila ◽  
S Chandramohan

The increasing penetration of distributed generators may harm power system and its control and operations. The microgrid offers a better solution for the issues in grid operation. Undergraduate electrical engineering and postgraduate power system and power electronics students need to understand the working of microgrid with renewable energy resources along with the optimization and scheduling of power quality custom power devices. To cater better understanding of the microgrid with renewable resources, wind, solar, distributed generators, distributed energy storage devices, DSTATCOM, and plug-in electric vehicle charging load are included in this work presented. In this paper, multiobjective optimization for the operation of microgrid to account for uncertainties in a stochastic energy resources management system is considered. Nonlinear constraint optimization to reduce the running cost, losses, and voltage variations is focused for the optimization. Loss sensitivity analysis is used to find the location wind, solar, distributed generators, distributed energy storage devices, and DSTATCOM. Firefly algorithm is used to optimize the size of distributed generators and DSTATCOM. Optimization reduced the loss, power taken from the grid and improves the voltages in the system. This paper is self-explanatory to the undergraduate and postgraduate students to understand the power flow analysis of microgrid with hybrid renewable energies and optimization technique.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8557
Author(s):  
Arshad Mohammad ◽  
Mohd Zuhaib ◽  
Imtiaz Ashraf ◽  
Marwan Alsultan ◽  
Shafiq Ahmad ◽  
...  

In this paper, we proposed a home energy management system (HEMS) that includes photovoltaic (PV), electric vehicle (EV), and energy storage systems (ESS). The proposed HEMS fully utilizes the PV power in operating domestic appliances and charging EV/ESS. The surplus power is fed back to the grid to achieve economic benefits. A novel charging and discharging scheme of EV/ESS is presented to minimize the energy cost, control the maximum load demand, increase the battery life, and satisfy the user’s-traveling needs. The EV/ESS charges during low pricing periods and discharges in high pricing periods. In the proposed method, a multi-objective problem is formulated, which simultaneously minimizes the energy cost, peak to average ratio (PAR), and customer dissatisfaction. The multi-objective optimization is solved using binary particle swarm optimization (BPSO). The results clearly show that it minimizes the operating cost from 402.89 cents to 191.46 cents, so that a reduction of 52.47% is obtained. Moreover, it reduces the PAR and discomfort index by 15.11% and 16.67%, respectively, in a 24 h time span. Furthermore, the home has home to grid (H2G) capability as it sells the surplus energy, and the total cost is further reduced by 29.41%.


Sign in / Sign up

Export Citation Format

Share Document