Optimal Placement and Sizing of DGs in Distribution Networks Using Dandelion Optimization Algorithm: Case Study of an Algerian Distribution Network
Domain:
environment and energyPublisher:
The
Host:
The optimal placement of distributed generation (DG) in power distribution systems involves identifying the best locations for the generators to be installed and sizing them appropriately, to optimize the performance of the system. In this paper, the recently proposed nature-inspired optimization algorithm namely: Dandelion Optimizer (DO) has been used for the optimal placement and sizing of DG in the radial distribution network. The objectives are to minimize active power loss and voltage deviation and to enhance the voltage stability of the distribution network. The efficiency of the proposed method has been verified over the IEEE 33-bus and Algerian 112-bus distribution systems. The result comparisons indicated that the proposed method can obtain higher quality solutions than many other methods for the considered scenarios from the test systems. Therefore, the DO algorithm can be a very effective method for solving the optimal allocation of the DG problem.
Similar
Optimal Placement and Sizing of Capacitor in Radial Distribution Network using Multi-objective Modified African Vulture Optimization-based AlgorithmOptimal Placement and Sizing of Distributed Generation in a Nigerian Distribution Network Using Cuckoo Search AlgorithmOptimal Reconfiguration of Radial Distribution Network for Loss Minimization Using Hybrid Genetic Algorithm-Particle Swarm Optimization AlgorithmOptimal Distribution of the Reactive Power and Voltages Control
in Algerian Network Using the Genetic Algorithm MethodSimultaneous Placement and Sizing of Distributed Generation Units and Shunt Capacitors on Radial Distribution Systems Using Cuckoo Search AlgorithmCheetah Optimization for Optimal Sizing and Placement of Distributed Generation and Capacitors