PLANNING STRATEGY FOR THE OPTIMAL PLACEMENT OF DG TO IMPROVE POWER NETWORK SYSTEM-WITH EXPLANATION

DESIGN DETAILS
This Matlab design is aimed by multi-objective technique for optimal sizing and arrangement of Distributed Generators (DGs) in radial distribution networks (RDN). The problem is formulated to optimize real power losses, Average Voltage Deviation Index (AVDI), and Voltage Stability Index (VSI) of the electrical distribution system. The second factor considered in the design is network reliability. Nowadays reliability is also an important parameter in electrical industry to achieve high security and adequacy of the system. There are three important parameters required to introduce in reliability viz customer composite damage function, average load, and failure rate. Using Matlab, by applying backward forward load flow analysis combined with JFA the performance of the design is for IEEE 33 and 69 bus system tested considering below 2 scenarios.
1. Base case
2. Only DG Placement

OBJECTIVE FUNCTION
The multi-objective function for power losses of the system is given by:
f_1 (k)=min∑_(i=1)^br▒〖R_i*I_i^2 〗 , Power Loss
f_2 (k)=1/b ∑_(k=1)^b▒|1-V_k |^2 , AVDI
f_3 (k)=[|V_k |^4-4(P_x x_jk+Q_k r_jk )^2-4(P_k r_jk+x_jk)|V_k |^2 ], VSI

The multi-objective function is expressed as ,
F(k)=min{w_1 f_1 (k)+w_2 f_2 (k)+w_3 (1/(f_3 (k) ))+}
w_1,w_2 ,and w_3 represent the weighting factors. The summation of weights should not exceed 1 here ω_1=0.33, ω_2=0.33, ω_3=0.33 considered by providing equal weights for objectives.

RELIABILITY INDICES (Reference paper 3)
System Average Interruption Frequency Index (SAIFI)
System Average Interruption Frequency Index (SAIDI)
Customer Average Interruption Duration Index (CAIDI)
Average service availability index (ASAI)
Average Service Unavailability Index (ASUI)
Expected energy not supplied (EENS)

REFERENCES
Reference Paper-1: Multi-Objective Optimal Allocation of Electric Vehicle Charging Stations and Distributed Generators in Radial Distribution Systems using Metaheuristic Optimization Algorithms
Author’s Name: Venkata K. Babu Ponnam and K. Swarnasri
Source: ETASR
Year: 2020

Reference Paper-2: Grasshopper optimization algorithm based two stage fuzzy multi-objective approach for optimum sizing and placement of distributed generations, shunt capacitors and electric vehicle charging stations.
Author’s Name: Srinivasa Rao Gampaa, Kiran Jasthia, Preetham Golib, D. Dasc, R.C. Bansald
Source: Elsevier
Year: 2019

Reference Paper-3: DG Placement Using Loss Sensitivity Factor Method for Loss Reduction and Reliability Improvement in Distribution System
Author’s Name: G.Sasi Kumar, Dr.S.Sarat Kumar, Dr.S.V.Jayaram Kumar
Source: IJET
Year: 2018

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[adegokesamson]

Thank you for the explanation. My question is why is it that the value of the power loss in the convergence curve different from the one in the command window?. Thank you