DRAGONFLY ALGORITHM FOR RENEWABLE ENERGY INTEGRATION PV AND WIND TURBINE IN DISTRIBUTION NETWORK
DESIGN DETAILS
Generally, electrical power distribution networks are a significant part of the energy supply chain. The main concept behind solar distributed generation (DG) units is based on the use of small electrical power plants that are directly connected to the electric system near to customers. The reduction of power losses this engenders can decrease the electric power that flows into distribution system feeders, leading to positive impacts on voltage stability, voltage profile, and the capacity of the electrical network. Additionally, from the perspective of utility, solar and wind turbine-based DG’s units allocated near to loads can dramatically decrease power losses in electrical distribution networks. However, solar and wind turbine DG’s units must be allocated optimally and correctly to avoid adverse results on electric networks in terms of voltage profiles and power losses throughout the whole network. Here 24 hours data is considered to find the impact on the voltage profile of distribution network, its power losses. Thus, this design is based on a simple way to determine optimal location for DG units in mesh systems by using DFA, with the aim of reducing the overall electrical power losses, enhancing the voltage of the network. The Newton-Raphson method implemented on MATLAB to solve the optimization problem in an IEEE 14,30 and 57 bus meshed system.
The multi-objective function,F(k)=min{w_1 f_1 (k)+w_2 f_2 (k)+w_3 (1/(f_3 (k)))}
Where,
w_1,w_2 ,w_3 represent the weighting factors.
SIMULATION RESULTS VALUES IN MATLAB COMMAND WINDOW
1. Power Loss
2. VSI
3. AVDI
4. Optimal PV and WT location
5. Optimal PV and WT Size
6. Minimum and Maximum Voltage @ Bus
7. Execution Time
SIMULATION FIGURES
1. Voltage Profile
2. Branch Current
3. Power Loss
4. Convergence Graph
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