Optimal Energy Management in Smart Distribution Networks Considering Responsive Loads and Network Reconfiguration for Enhancing Technical and Economic Objectives

Subject Areas : journal of Artificial Intelligence in Electrical Engineering

Reza Ghanizadeh ^{1 *} , Allahverdi Azadrou ²

1 - گروه برق، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ايران
2 - Department of Electrical Engineering, Salmas Branch, Islamic Azad University, Salmas, Iran

Received: 2025-03-19 Accepted : 2025-05-27 Published : 2025-07-10

Keywords: Smart distribution network, responsive loads, network reconfiguration, genetic algorithm, loss cost reduction, voltage profile improvement,

Abstract :

Energy management in distribution systems has gained significant attention in recent years. Coordinating electricity generation and consumption is crucial for energy savings, cost reduction, and achieving technical and economic objectives. Demand-side participation through responsive loads in smart distribution networks facilitates optimal energy management and operation, contributing to the long-term improvement of distribution network performance. The primary objective of this paper is to present an efficient model for optimal energy management planning in a smart distribution network, considering responsive loads and the impact of network reconfiguration on enhancing technical and economic goals. In this study, a 33-bus IEEE distribution network is analyzed for daily energy management, incorporating ten different load levels with varying probabilities for each level. The optimization algorithm employed in this research is the Genetic Algorithm (GA), used to optimize the objective functions. The results demonstrate that demand-side participation through responsive loads, along with optimal network reconfiguration, can effectively reduce daily energy loss costs and improve the voltage profile of the distribution network.

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