WILD GEESE MIGRATION OPTIMIZATION ALGORITHM-ENERGY MANAGEMENT-HYBRID RENEWABLE ENERGY RESOURCES

DESIGN DETAILS
The global increase in electrical power demand, the impact of environmental pollution and depletion in fossil fuel levels necessitate the need for alternative power sources. The paradigm shift to usage of renewable energy sources (RESs) on distribution system (DS) is more pronounced and will continue in that trend in the nearest future. Distributed energy resources (DER) are integrated into DSs to improve voltage profiles, power quality and system performance. Consequently, the conventional DSs are migrating into multiple interconnected networks embedded with smart applications such as photovoltaic (PV), wind turbine (WT) and energy storage systems (ESS) i.e battery. The agglomeration of different but complementary energy generation systems based on RESs or mixed energy is known as a renewable energy hybrid system. Therefore, the resulting grid from this system is known as a microgrid (MG) due to its capacity compared to the main grid. In this design WGMOA is used for optimal location of PV, WT is combined with ESS to supply the load when the energy obtained from solar/wind turbine is inadequate to meet the essential load. The performance of the design is evaluated on two standard bus systems 33 and 69 to improve the voltage profile and power loss reduction.

The objective function,F(k)=min{w_1 f_1 (k)+w_2 f_2 (k)}
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 , Average Voltage Deviation Index

Scenarios
1. Basecase
2. Optimal allocation of PV
3. Optimal allocation of WT
4. Optimal allocation of ESS
5. Simultaneous allocation of PV, WT, and ESS

Matlab Simulation Results
1. Active Power Loss (kW) and Reactive Power Loss (kVAr)
2. Minimum and Maximum Voltage (PU) @ Bus
3. Optimal PV, WT, and ESS Location
4. Optimal BESS Size
5. Execution Time

Matlab Simulation Figures
1. Voltage Profile for 24 Hours (PV, WT, ESS, and PV WT with ESS)
2. Convergence graph

REFERENCES
Reference Paper-1: Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG and DSTATCOM Under Uncertainties of Loads and Solar.
Author’s Name: Eyad S. Oda, Amal M. Abd El Hamed, Abdelfatah Ali and, Adel A. Elbaset,
Source: IEEE
Year:2021

Reference Paper-2: Energy Exchange Control in Multiple Microgrids with Transactive Energy Management
Author’s Name: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Mehdi Abapour, and Somayeh Asadi
Source: IEEE
Year:2020

Reference Paper-3: Optimal placement and sizing of photovoltaics and battery storage in distribution networks
Author’s Name: Riad Chedid and Ahmad Sawwas
Source: Wiley
Year:2019

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