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OPTIMAL PLACEMENT OF FOUR DIFFERENT TYPES OF DG USING MODIFIED ANTLION OPTIMIZATION
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DESIGN DETAILS
This design is based on modified antlion optimization (MALO) is used to find optimal allocation and size of distributed generation (DG) units in radial distribution networks (RDNs) to minimize the total loss. Four different types of DG units are considered in this work as given below,
Type 1: DG has the capability to inject active power only
Type 2: DG has the capability to inject both active and reactive
Type 3: DG has the capability to inject reactive power only
Type 4: DG has the capability to inject active power but consumes reactive power
The MALO make use of a backward / forward load flow method for the load flow analysis of the RDN by which the node voltages and the total active power loss of the network are determined. The design is tested on the IEEE 33 and 69 bus radial distribution system and the results are obtained using MATLAB 2022a version.
Minimise Power Loss,f(k)=min∑_(i=1)^br▒〖R_i*I_i^2 〗 ,
REFERENCES
Reference Paper-1 Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks
Author’s Name: T.S. Tawfeek, A.H. Ahmed and S.Hasan
Source: Elsevier
Year: 2018
Request source code for academic purpose, fill REQUEST FORM below,
You may also contact +91 7904568456 by WhatsApp Chat, for paid services. We are also available on Telegram and Signal.
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This design is based on modified antlion optimization (MALO) is used to find optimal allocation and size of distributed generation (DG) units in radial distribution networks (RDNs) to minimize the total loss. Four different types of DG units are considered in this work as given below,
Type 1: DG has the capability to inject active power only
Type 2: DG has the capability to inject both active and reactive
Type 3: DG has the capability to inject reactive power only
Type 4: DG has the capability to inject active power but consumes reactive power
The MALO make use of a backward / forward load flow method for the load flow analysis of the RDN by which the node voltages and the total active power loss of the network are determined. The design is tested on the IEEE 33 and 69 bus radial distribution system and the results are obtained using MATLAB 2022a version.
Minimise Power Loss,f(k)=min∑_(i=1)^br▒〖R_i*I_i^2 〗 ,
REFERENCES
Reference Paper-1 Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks
Author’s Name: T.S. Tawfeek, A.H. Ahmed and S.Hasan
Source: Elsevier
Year: 2018
Request source code for academic purpose, fill REQUEST FORM below,
You may also contact +91 7904568456 by WhatsApp Chat, for paid services. We are also available on Telegram and Signal.
Visit Our Social Media