Faisal A. Mohamed
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Faisal A. Mohamed has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Heikki N. Koivo
Control Engineering Lab, Helsinki University of Technology, P.O. Box 5500, FIN-02015 HUT, Finland
3 shared publications Heikki N. Koivo
Department of Automation and Systems Technology, Helsinki University of Technology, P.O. Box 5500, FIN-02015 HUT, Finland
1 shared publication
Latest Publications
- 5 September 2010
- Published by Wiley in European Transactions on Electrical Power
- Vol. 21 (1) , 839-854
Multiobjective optimization using modified game theory for online management of microgrid
- 5 September 2010
- Published by Wiley in European Transactions on Electrical Power
- Vol. 21 (1) , 839-854
Multiobjective optimization using modified game theory for online management of microgrid
- 1 July 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 639-644
MicroGrid Online Management and Balancing Using Multiobjective Optimization
This paper presents a generalized formulation to determine the optimal operating strategy and cost optimization scheme as well as the reduction of the emissions for a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental/economic problem of the MG. The proposed problem is formulated as a nonlinear constrained MO optimization problem. The model takes into consideration the operation and maintenance costs as well as the emissions NOx, SO2, and CO2 reduction. The MG considered in this paper consists of a wind turbine, a micro turbine , a diesel generator , a photovoltaic array , a fuel cell, and a battery storage. The optimization is aimed at minimizing the operating cost of the system while constraining it to meet the costumer demand and safety of the system. We also added a daily income and outgo from sold and purchased power. The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.
- 1 July 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 639-644
MicroGrid Online Management and Balancing Using Multiobjective Optimization
This paper presents a generalized formulation to determine the optimal operating strategy and cost optimization scheme as well as the reduction of the emissions for a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental/economic problem of the MG. The proposed problem is formulated as a nonlinear constrained MO optimization problem. The model takes into consideration the operation and maintenance costs as well as the emissions NOx, SO2, and CO2 reduction. The MG considered in this paper consists of a wind turbine, a micro turbine , a diesel generator , a photovoltaic array , a fuel cell, and a battery storage. The optimization is aimed at minimizing the operating cost of the system while constraining it to meet the costumer demand and safety of the system. We also added a daily income and outgo from sold and purchased power. The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.
- 1 May 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 148-153
System Modelling and Online Optimal Management of MicroGrid Using Multiobjective Optimization
This paper presents a generalized formulation to determine the optimal operating strategy and cost optimization scheme as well as the reduction of the emissions for a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental/economic problem of the MG. The proposed problem is formulated as a nonlinear constrainted MO optimization problem. Prior to the optimization, a system model components from some real manufactural data are constructed. The model takes into consideration the operation and maintenance costs as well as the emissions NOx, SO2, and CO2 reduction. The MG considered in this paper consists of a wind turbine, a micro turbine, a diesel generator, a photovoltaic array , and fuel cell. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the costumer demand and safety of the system.The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.
- 1 May 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 148-153
System Modelling and Online Optimal Management of MicroGrid Using Multiobjective Optimization
This paper presents a generalized formulation to determine the optimal operating strategy and cost optimization scheme as well as the reduction of the emissions for a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental/economic problem of the MG. The proposed problem is formulated as a nonlinear constrainted MO optimization problem. Prior to the optimization, a system model components from some real manufactural data are constructed. The model takes into consideration the operation and maintenance costs as well as the emissions NOx, SO2, and CO2 reduction. The MG considered in this paper consists of a wind turbine, a micro turbine, a diesel generator, a photovoltaic array , and fuel cell. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the costumer demand and safety of the system.The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.
- 1 April 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21555516,p. 231-236
Online Management of MicroGrid with Battery Storage Using Multiobjective Optimization
This paper presents a generalized formulation for determining the optimal operating strategy and cost optimization scheme as well as reducing the emissions of a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental economic problem of the MG. The proposed problem is formulated as a nonlinear constrained MO optimization problem Prior to the optimization, system model components taken from real manufactural data are constructed. The model takes into consideration the operation and maintenance costs as well as the reduction in emissions of NOx, SO2, and CO2. The MG considered in this paper consists of a wind turbine, a micro turbine, a diesel generator, a photovoltaic array, a fuel cell, and a battery storage. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the costumer demand and safety of the system. The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.
- 1 April 2007
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21555516,p. 231-236
Online Management of MicroGrid with Battery Storage Using Multiobjective Optimization
This paper presents a generalized formulation for determining the optimal operating strategy and cost optimization scheme as well as reducing the emissions of a MicroGrid (MG). Multiobjective (MO) optimization is applied to the environmental economic problem of the MG. The proposed problem is formulated as a nonlinear constrained MO optimization problem Prior to the optimization, system model components taken from real manufactural data are constructed. The model takes into consideration the operation and maintenance costs as well as the reduction in emissions of NOx, SO2, and CO2. The MG considered in this paper consists of a wind turbine, a micro turbine, a diesel generator, a photovoltaic array, a fuel cell, and a battery storage. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the costumer demand and safety of the system. The results demonstrate the efficiency of the proposed approach to satisfy the load and to reduce the cost and the emissions in one single run.