Скачать или смотреть OPTIMAL ALLOCATION OF RENEWABLE ENERGY SOURCES PHOTOVOLTAIC DG AND D STATCOM USING BAT ALGORITHM

DESIGN DETAILS
Integration of renewable distributed generators and the shunt compensators is an effective solution from technical and economic perspectives. Several renewable-based technologies have been progressed to generate the required electricity, including wind turbine, biomass, solar thermal, solar PV, geothermal and hydro systems. Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load demand which are related to solar irradiance variations and the activities of the customers, respectively. This Matlab design is based on optimal planning problem solving of the PV-DG and DSTATCOM system using Bat Algorithm.

OBJECTIVE FUNCTION
The objective function to be minimized is a multi-objective function including the cost reduction, the voltage profile, and stability index improvement, which can be formulated as,
min⁡〖F=min⁡(ω_1×〖Obj〗_1+ω_2×〖Obj〗_2+〗 ω_3×〖Obj〗_3)
where 〖Obj〗_1, 〖Obj〗_2, and 〖Obj〗_(3 )denote cost reduction, voltage deviations minimization, and voltage stability index (VSI) enhancement, respectively. ω_1,ω_2 and ω_3 represent the weighting factors.

TESTING
The design tested on IEEE 33,69 and 118 bus systems using Matlab 2020a/2021b by applying variable DG and DSTATCOM i.e 1,2, 3 and 4. The simulation video shows the performance of the design with its result graphs/values. We have shown the Matlab program implementation of each function i.e., Bat Algorithm, Load Flow Analysis with the corresponding file in the simulation video to make you understand how it works.

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

Reference Paper-2: Bat algorithm (BA): review, applications and modifications
Author’s Name: Amar Yahya Zebari, Saman M. Almufti and, Chyavan Mohammed Abdulrahman
Source: International Journal of Scientific World
Year: 2020

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