GENETIC ALGORITHM FOR OPTIMAL DG ALLOCATION USING PROBABILISTIC LOAD FLOW ANALYSIS BY DIFFERENT LOAD

DESIGN DETAILS
This Matlab design is based on development of probabilistic load flow (PLF) technique. The purpose of this design is to verify the difference by applying PLF with different load models with suitable optimization algorithm in distribution system to evaluate the power loss reduction and finding the optimal allocation and sizing od DG. The design tested by choosing GA with PLF using Matlab software on two standard radial bus system 33 and 69 with 4 load models as given below.
Basecase.
Only DG Placement.
Network Reconfiguration.
DG Placement after Network Reconfiguration.

LOAD MODELING
There are four kinds of loads in electrical power systems and each node has a certain percentage of such loads and these changes over time. These models are,
Constant Impedance Load Model,
Constant Current Load Model,
Normal Load Model and,
ZIP Load Model.

The objective function,F(k)=min∑_(i=1)^br▒〖R_i*I_i^2 〗

RESULT EVALUATION PARAMETERS
Power Loss
Network Tie Switch
Optimal DG Location and Size
Total DG Size
Minimum and Maximum Voltage Bus Location
Execution Time
MATLAB SIMULATION FIGURES
Voltage Profile
Active Power Loss
Reactive Power Loss
Convergence Graph

REFERENCES
Reference Paper-1 Probabilistic Load Flow: A Review
Author’s Name: P. Chen, Z. Chen, and B. Bak-Jensen.
Source: IEEE
Year: 2014

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