Abstract
This paper presents an optimal method for optimizing network reconfiguration problems in a power distribution system in order to enhance reliability and reduce power losses. Network reconfiguration can be viewed as an optimization problem involving a set of criteria that must be reduced when adhering to various constraints. The energy not supplied (ENS) during permanent network faults and active power losses are the objective functions that are optimized in this study during the reconfiguration phase. These objectives are expressed mathematically and will be integrated into various optimization algorithms used throughout the study. To begin, a mathematical formulation of the objectives to be optimized, as well as all the constraints that must be met, is proposed. Then, to solve this difficult combinatorial problem, we use the exhaustive approach, genetic algorithm (GA), and particle swarm optimization (PSO) on an IEEE 33-bus electrical distribution network. Finally, a performance evaluation of the proposed approaches is developed. The results show that optimizing the distribution network topology using the PSO approach contributed significantly to improving the reliability, node voltage, line currents, and calculation time.
Highlights
Electrical distribution networks are a critical component of the electrical power system.They are generally denser and more complex than the transportation networks that supply them through transformer stations [1]
The objective functions for the network reconfiguration considered in this work are the active power losses and energy not supplied (ENS) reliability index
The distribution network reconfiguration problem had two objectives: the first was to minimize the ENS, and the second was to optimize the reduction of active power losses
Summary
Electrical distribution networks are a critical component of the electrical power system. They are generally denser and more complex than the transportation networks that supply them through transformer stations [1]. New tools that aid in the operation of these networks, known as advanced automation functions in the literature, have emerged. The role of these functions is to provide the distribution network operator with the ability to solve network problems as they occur [2]. In order to ensure a secure economically optimal electricity supply, it is important to use distribution network reconfiguration to find the best solutions based on the requirements and constraints defined by the operators
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