Abstract
This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA is a reliable tool for optimizing the location and size of DGs in an EDS.
Highlights
Distributed Generators (DGs) are connected to an Electric Distribution System (EDS) offering economic benefits and energy security, and their appearance has increased rapidly
Scenario 2: Location and size of DGs are optimized in the EDS with the optimal radial configuration for power loss reduction with open switches {7-9-14-28-32}
The obtained results were compared with other methods in the literature, such as Genetic Algorithm (GA) [11], Particle Swarm Optimization (PSO) [11], Cuckoo Search (CSA) [17], Fireworks Algorithm (FWA) [18], Stochastic Fractal Search (SFS) [19], Harmony Search Algorithm (HSA) [20], and Salp Swarm Algorithm (SSA) [21]
Summary
Distributed Generators (DGs) are connected to an Electric Distribution System (EDS) offering economic benefits and energy security, and their appearance has increased rapidly. An EDS performs the task of supplying electric energy to consumers, ensuring power quality, reliability, and safety requirements within the permitted limits. It brings many other benefits, such as reducing the load on the grid, improving voltage, reducing losses, and supporting the grid. When considering connecting DGs to an EDS, it is necessary to consider their location and their allowable amount, in order to get their maximum size pumped into the grid, minimizing loss to attract investment, ensuring the reliability of electric supply, and gaining economic benefits. The problem of determining the location and capacity of DGs for power loss reduction is important [3, 4]
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