Abstract
This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, namely Gray Wolf Optimization (GWO), Ant Lion Optimization (ALO), and Whale Optimization Algorithm (WOA), for the efficient operation of power distribution systems. The toolbox consists of two main functionalities. The first one allows the user to select the test system to be solved (33-, 69-, or 141-bus test systems), the locations of the distributed generators (DGs), and the voltage regulators. In addition, the user selects the daily active power output profiles of the DGs, and the tool solves the voltage deviation problem for the specified time of day. The second functionality involves the simulation of energy storage systems and provides the optimal daily power output of the resources. With this program, a graphical user interface (GUI) allows users to select the test system, the optimization method to be used, the number of DGs and locations, the locations and number of battery energy storage systems (BESSs), and the tap changer locations. With the simple user interface, the user can manage the distribution system simulation and see the results by making appropriate changes to the test systems.
Highlights
With the urbanization of people, the demand for energy has increased worldwide.In addition, technological developments in our lives, industrialization, and increasing consumption of electrical appliances have increased the demand for energy
The toolbox uses four optimization methods based on the source codes we developed, namely particle swarm optimization (PSO), Gray Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and Ant Lion Optimization (ALO)
If the user selects many search agents, the probability of obtaining a nearoptimal result increases; the computation time increases; This field determines the number of iterations during the optimization; If distributed generators (DGs) and the tap changer mode are selected, this field allows specifying at what time in the 24 h period the optimization should be performed; This field determines the bus location of the DG added to the test system
Summary
İsmail Alperen Özlü 1 , Olzhas Baimakhanov 2 , Almaz Saukhimov 3 and Oğuzhan Ceylan 1,4, *. Electrical and Electronics Engineering Department, Marmara University, Istanbul 34854, Turkey
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