scholarly journals Agent services for situation aware control of power systems with distributed generation

2009 ◽  
Author(s):  
Arshad Saleem ◽  
Kai Heussen ◽  
Morten Lind
Keyword(s):  
Power Systems ◽  
Distributed Generation

CHAOTIC OPERATING MODES OF POWER SYSTEMS WITH DISTRIBUTED GENERATION

2020 ◽  
Vol 2 (1) ◽  
pp. 027-031
Author(s):  
B. A. Kosarev ◽  
◽  
O. A. Lysenko ◽  
V. K. Fedorov ◽  
R. N. Khamitov ◽  
...  
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Operating Modes

Optimal Location and Size of Multiple Renewable Distributed Generation Units in Power Systems Using an Improved Version of Particle Swarm Optimization

2021 ◽  
pp. 15-27
Author(s):  
Mamdouh Kamaleldin AHMED ◽  
◽  
Mohamed Hassan OSMAN ◽  
Nikolay V. KOROVKIN ◽  
◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Distributed Generation ◽  
Particle Swarm ◽  
Optimal Location ◽  
Particle Swarm Algorithm ◽  
Power Losses ◽  
Negative Effects ◽  
Swarm Optimization ◽  
Distributed Generations

The penetration of renewable distributed generations (RDGs) such as wind and solar energy into conventional power systems provides many technical and environmental benefits. These benefits include enhancing power system reliability, providing a clean solution to rapidly increasing load demands, reducing power losses, and improving the voltage profile. However, installing these distributed generation (DG) units can cause negative effects if their size and location are not properly determined. Therefore, the optimal location and size of these distributed generations may be obtained to avoid these negative effects. Several conventional and artificial algorithms have been used to find the location and size of RDGs in power systems. Particle swarm optimization (PSO) is one of the most important and widely used techniques. In this paper, a new variant of particle swarm algorithm with nonlinear time varying acceleration coefficients (PSO-NTVAC) is proposed to determine the optimal location and size of multiple DG units for meshed and radial networks. The main objective is to minimize the total active power losses of the system, while satisfying several operating constraints. The proposed methodology was tested using IEEE 14-bus, 30-bus, 57-bus, 33-bus, and 69- bus systems with the change in the number of DG units from 1 to 4 DG units. The result proves that the proposed PSO-NTVAC is more efficient to solve the optimal multiple DGs allocation with minimum power loss and a high convergence rate.

scholarly journals Simulation of Incidental Distributed Generation Curtailment to Maximize the Integration of Renewable Energy Generation in Power Systems

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4173 ◽  
Author(s):  
Ingo Liere-Netheler ◽  
Frank Schuldt ◽  
Karsten von Maydell ◽  
Carsten Agert
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Distributed Generation ◽  
System Integration ◽  
Best Practice ◽  
Flow Analysis ◽  
Real Data ◽  
Load Flow ◽  
Practical Implementation

Power system security is increasingly endangered due to novel power flow situations caused by the growing integration of distributed generation. Consequently, grid operators are forced to request the curtailment of distributed generators to ensure the compliance with operational limits more often. This research proposes a framework to simulate the incidental amount of renewable energy curtailment based on load flow analysis of the network. Real data from a 110 kV distribution network located in Germany are used to validate the proposed framework by implementing best practice curtailment approaches. Furthermore, novel operational concepts are investigated to improve the practical implementation of distributed generation curtailment. Specifically, smaller curtailment level increments, coordinated selection methods, and an extension of the n-1 security criterion are analyzed. Moreover, combinations of these concepts are considered to depict interdependencies between several operational aspects. The results quantify the potential of the proposed concepts to improve established grid operation practices by minimizing distributed generation curtailment and, thus, maximizing power system integration of renewable energies. In particular, the extension of the n-1 criterion offers significant potential to reduce curtailment by up to 94.8% through a more efficient utilization of grid capacities.

scholarly journals State-of-the-art of hosting capacity in modern power systems with distributed generation

2019 ◽  
Vol 130 ◽  
pp. 1002-1020 ◽  
Author(s):  
Sherif M. Ismael ◽  
Shady H.E. Abdel Aleem ◽  
Almoataz Y. Abdelaziz ◽  
Ahmed F. Zobaa
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
State Of The Art

scholarly journals Optimal Power Flow of Power Systems Including Distributed Generation Units Using Sunflower Optimization Algorithm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 109289-109300 ◽  
Author(s):  
Mohamed A. M. Shaheen ◽  
Hany M. Hasanien ◽  
S. F. Mekhamer ◽  
Hossam E. A. Talaat
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Optimization Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
Sign in / Sign up

Export Citation Format

Share Document