An Application of Cost Minimization Algorithm to Economic Justification of Installing Distributed Generation

2010 ◽  
Vol 43 (1) ◽  
pp. 243-248
Author(s):  
Cedomir V. Zeljkovic ◽  
Nikola Lj. Rajakovic ◽  
Sinisa J. Zubic
Keyword(s):  
Distributed Generation ◽  
Cost Minimization ◽  
Minimization Algorithm ◽  
Economic Justification

scholarly journals Capacitor Siting and Sizing using Cost Minimization & Monty Carlo Simulations for RDS

2019 ◽  
Vol 8 (3) ◽  
pp. 2482-2489
Keyword(s):  
Reactive Power ◽  
Cost Minimization ◽  
Minimum Cost ◽  
Distribution Networks ◽  
Voltage Regulation ◽  
System Capacity ◽  
Design Stage ◽  
Loss Reduction ◽  
Minimization Algorithm ◽  
Optimal Value

Capacitors are widely used in distribution networks for energy loss reduction, reactive power compensation, voltage regulation, and for system capacity release. However, it’s important that the system is designed initially, and capacitors are applied in correct magnitude and at right node to achieve best results. The most important task for distribution engineer is to efficiently simulate the system at design stage and later apply optimum capacitance injection. The work presented in this paper proposes a cost minimization algorithm using a unique mathematical model along with Monty carlo simulation to choose optimal value of capacitors, both fixed and switching based on total minimum cost algorithm.

scholarly journals Optimal utilization of automated distributed generation in smart grid using genetic algorithm

2019 ◽  
Vol 16 (1) ◽  
pp. 82
Author(s):  
Ayman Hoballah ◽  
Yasser Ahmad ◽  
Kamel A Shoush
Keyword(s):  
Genetic Algorithm ◽  
Smart Grid ◽  
Power System ◽  
Distributed Generation ◽  
Cost Minimization ◽  
Test System ◽  
Optimal Operation ◽  
Optimization Techniques ◽  
Power Scheduling ◽  
Automation Systems

<span>Distributed generation (DG) is an essential attributor in smart grid to fulfill the uncontrollable increase in the demand for energy. Artificial intelligent optimization techniques are widely used within automation systems for guarantee the optimal operation and utilization of DG allocation on the day-ahead power scheduling. In this paper, the genetic algorithm technique used for obtaining the optimal utilization of the automated operation of distributed generation for power losses and total cost minimization as well as user comfort maximization considering all operating constraints technique. Distributed generation represented by fuel cells to supply part of the daily demand in the power system. The target is to apply decision-making strategy of smart operation for economical and reliable operation of power system. Concentrated fuel cell units considered representing the available DG at the load centers. The methodology applied to the 11-bus test system. The simulation results have demonstrated that the GA capability for full automation of DGs in a smart manner within the power system for economic and safe operation</span>

Sign in / Sign up

Export Citation Format

Share Document