Embedded Files
The optimal placement of DG in RDS is a technique to find best configuration, which provides reduced power loss with maintaining all operating constraints, like voltage profile of all nodes, current capacity of the feeder, and radial structure of the network. This Matlab design is based on Optimal Placement of DG using BAT algorithm is compared with Genetic Algorithm and Forward Backward Sweep load flow analysis for reduction of losses, improvement in voltage profile. The main contribution of the design is,
1.Base Case
2.Optimal Placement and Sizing of Multiple DG using Bat Algorithm.
3.Optimal Placement and Sizing of Multiple DG using Genetic Algorithm.
4.Comparison of Bat and Genetic Algorithm.
Load Model:
1.CP Load Model,
2.CI Load Model,
3.CZ Load Model and
4.ZIP Load Model.
OBJECTIVE FUNCTION
The loss in the system can be calculated based on the below equation,
P_L=∑_(i=1)^n▒∑_(j=1)^n▒〖A_ij (P_i P_j+Q_i Q_j )+B_ij (Q_i P_j+P_i Q_j ) 〗
The objective function of the placement technique is to minimize the real power loss,
Minimize P_L=∑_(k=1)^(N_sc)▒〖Loss〗_k
LOAD MODELING
The active and reactive powers for the static load models can be expressed in an exponential form as:
P=P_0 (V/V_0 )^(n_p )
Q=Q_0 (V/V_0 )^(n_q )
Where, P_0 and Q_0 are the active and reactive powers at bus nominal voltage V_0.V stands for bus load voltage and n_p and n_q are the load exponents. Here the value of both n_p and n_q is equal to zero for constant power (CP) load model. Both n_p and n_q is equal to one, for constant current (CI) load model. The value of n_p and n_q is equal to two for constant impedance (CZ) load model.
ZIP LOAD MODEL
P=P_0 [a_p (V/V_0 )^2+b_p (V/V_0 )^2+C_p ]
Q=Q_0 [a_p (V/V_0 )^2+b_p (V/V_0 )^2+C_q ]
where, the sum of the ZIP load coefficients for both P, and Q loads is equal to 1. a_p+b_p+c_p= 1 and a_q+b_q+c_q= 1.
REFERENCES
Reference Paper-1: Energy saving using D-STATCOM placement in radial distribution system under reconfigured network.
Author’s Name: Atma Ram Gupta and, Ashwani Kumar
Source: Elsevier
Year:2016
DOWNLOAD the Matlab(P-code) encrypted code from the below URL,
https://drive.google.com/file/d/1ZWGrRkRuyQYBtYIBBrjs8ihHzQVDE_p3/view?usp=sharing
SIMULATION VIDEO DEMO
If you are looking for customized design development, contact us by WhatsApp @ +91 790 456 8 456 or Email us info@verilogcourseteam.com.
Report abuse