Optimization Of A Grid-Connected Photovoltaic System In A Densely Populated Residential Community

This work presents an idea about to design, simulation, and analysis of an operational control system in order to control and supervise the operations of a hybrid AC/DC microgrid (HMG) in the different operating modes (connected and islanded). The main task of this paper is concerned with the development and the implementation of a global optimization method for solving the problems of the energy crisis of HMG with an adequate control algorithm. The supervision system was developed in such a way that it coordinates when power should be generated by sources renewable energy sources (RES) such as PV array or wind turbine and when it should be produced by grid power in on-grid operation or with diesel generator (DG) in off-grid operation. This system is intended to maximize the use of the RES while limiting the use of the other emergency sources of energy (the utility grid and DG). The control simulation proves that the management system reduces the total cost of HMG thereby reducing the total cost of the RES. From the simulation results, the developed supervision system reduces the global operational hours of the HMG and the proposed algorithm respects the optimization in real-time operation under different constraints.

show abstract

“…the CPLEX solver based on the linear and dynamic programming technique is used to solve energy optimization problems [18].…”

Section: Resolution Of the Optimization Problem For The Different Ope...mentioning

confidence: 99%

Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX

Qachchachi

Mahmoudi

Hasnaoui³

2022

IJEECS

View full text Add to dashboard Cite

show abstract

Toward the Optimal Operation of Hybrid Renewable Energy Resources in Microgrids

et al. 2020

View full text Add to dashboard Cite

Renewable energy sources are environmentally friendly and cost-efficient. However, the problem with these renewable resources is their heavy reliance on weather conditions. Thus, at times, these solutions are not guaranteed to meet the required demand all the time. For this, hybrid microgrids are introduced, which have a combination of both renewable energy sources and non-renewable energy resources. In this paper, a cost-efficient optimization algorithm is proposed that minimizes the use of non-renewable energy sources. It maximizes the use of renewable energy resources by meeting the demand for utility grids. Real data based on the load and demand of the utility grids in Italy is used, and a system that determines the optimal sizing of the microgrid and a daily plan is introduced to optimize the renewable resources operations. As part of the proposal, the objective function for the operation and planning of the microgrid in such a way to minimize cost is formulated. Moreover, a variant of the PSO algorithm named recurrent PSO is implemented. The recurrent PSO algorithm solves the proposed optimization objective function by minimizing the cost for the installation and working of the microgrid. Afterwards, the energy management system algorithm lays out a plan for the daily operation of the microgrid. The performance of the system is evaluated using different state-of-the-art optimization methods. The proposed work can help minimize the use of diesel generators, which not only saves financial resources but also contributes toward a green environment.

show abstract

Optimization Of A Grid-Connected Photovoltaic System In A Densely Populated Residential Community

Cited by 2 publications

References 12 publications

Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX

Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX

Toward the Optimal Operation of Hybrid Renewable Energy Resources in Microgrids

Contact Info

Product

Resources

About