Abstract
This paper proposes an approach for the distribution system (DS) feeder reconfiguration (FRC) of balanced and unbalanced networks by minimizing the total cost of operation. Network reconfiguration is a feasible technique for system performance enhancement in low voltage distribution systems. In this work, wind and solar photovoltaic (PV) units are selected as distributed energy resources (DERs) and they are considered in the proposed FRC approach. The uncertainties related to DERs are modeled using probability analysis. In most cases, the distribution system is an unbalanced system and the 3-phase transformers play a vital role as they have different configurations. This paper proposes efficient power flow models for the unbalanced distribution systems with various 3-phase transformer configurations. The proposed FRC approach has been solved by using the evolutionary algorithm based Ant Lion Optimization (ALO), and it has been implemented on 17 bus test system considering the balanced and unbalanced distribution systems with and without RESs.
Highlights
Electrical energy is considered an important source for any country’s economic growth
The proposed feeder reconfiguration (FRC) approach has been applied for 17 bus balanced and unbalanced distribution systems (DSs) [17]
Three feeders are coming from a single substation and they are connected through the 3-three phase transformers
Summary
Electrical energy is considered an important source for any country’s economic growth. Integration of various renewable energy sources (RESs) into electrical power networks is increasing due to the importance of environmental safety and to make less dependency on the gradual depletion of fossil fuels. Conventional energy sources mainly depend on fossil fuels for power generation [1]. Large-scale utilization of fossil fuels causes resource depletion as well as global warming. Among all the available RESs [2], wind and solar photovoltaic (PV) energy systems have become popular. Largescale penetration of RESs can lead to various challenges, as these sources are intermittent and variable. Optimal allocation and operation of these RESs in the distribution network lead to a decrease in power losses, enhancement in voltage profile, and system reliability
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