So, if you notice in equation 1 page 13, the objective function is only minimizing power loss, while we want also to min
Posted: Tue Jun 07, 2022 10:56 am
So, if you notice in equation 1 page 13, the objective function is only minimizing power loss, while we want also to minimize the cost. Also, they have equation 11 about the penalties which we can use most of these constraints in our work.
If you can add the cost function to equation 1, it will be great.
Here you have Matlab Code also
The Honey Bee Optimization (HBO) algorithm [60], which is a nature inspired algorithm that mimics the mating behaviour of the bee in the exploration and exploitation search, is also employed to solve ORPD. There are three kinds of bees in the colony, the queen, the workers and the drones. This technique was realised by sorting of all drones based on their fitness function. Crossover and mutation operators were applied to this technique to solve the ORPD problem. 2.2 THE ORPD PROBLEM FORMULATION The objective of the ORPD is to minimize the active power loss in the transmission network, which can be described as follows: Minimize f(x, u) (1) while satisfying (2) g(x, u)-0 h (x, u) ≤0 (3) 13 where f(x, u) is the objective function to be optimized, g(x, u) and h(x, u) are the set of equality and inequality constraints respectively. x is a vector of state variables, and u is the vector of control variables. The state variables are the load bus (PQ bus) voltages, phase angles, generator bus voltages and the slack active generation power. The control variables are the generator bus voltages, the shunt capacitors/reactors and the transformers tap settings. The objective function of the ORPD is to minimize the active power losses in the transmission lines/network, which can be defined as follows: No F = Min. PL=G₁ [V? + V-2V/V, cos(8) - 6))] where k refers to the branch between buses i and j. PL. and G, are the active loss and mutual conductance of branch k respectively; 6, and dy are the voltage angles at bus i and j; N₁ is the total number of transmission lines. The above minimization objective function is subjected to the both equality and inequality
If you can add the cost function to equation 1, it will be great.
Here you have Matlab Code also
The Honey Bee Optimization (HBO) algorithm [60], which is a nature inspired algorithm that mimics the mating behaviour of the bee in the exploration and exploitation search, is also employed to solve ORPD. There are three kinds of bees in the colony, the queen, the workers and the drones. This technique was realised by sorting of all drones based on their fitness function. Crossover and mutation operators were applied to this technique to solve the ORPD problem. 2.2 THE ORPD PROBLEM FORMULATION The objective of the ORPD is to minimize the active power loss in the transmission network, which can be described as follows: Minimize f(x, u) (1) while satisfying (2) g(x, u)-0 h (x, u) ≤0 (3) 13 where f(x, u) is the objective function to be optimized, g(x, u) and h(x, u) are the set of equality and inequality constraints respectively. x is a vector of state variables, and u is the vector of control variables. The state variables are the load bus (PQ bus) voltages, phase angles, generator bus voltages and the slack active generation power. The control variables are the generator bus voltages, the shunt capacitors/reactors and the transformers tap settings. The objective function of the ORPD is to minimize the active power losses in the transmission lines/network, which can be defined as follows: No F = Min. PL=G₁ [V? + V-2V/V, cos(8) - 6))] where k refers to the branch between buses i and j. PL. and G, are the active loss and mutual conductance of branch k respectively; 6, and dy are the voltage angles at bus i and j; N₁ is the total number of transmission lines. The above minimization objective function is subjected to the both equality and inequality