Abstract
Energy management in distribution systems has gained attention in recent years. Coordination of electricity generation and consumption is crucial to save energy, reduce energy prices and achieve global emission targets. Due to the importance of the subject, this paper provides a literature review on recent research on energy management systems and classifies the works based on several factors including energy management goals, the approaches taken for performing energy management and solution algorithms. Furthermore, the paper reviews some of the most proficient techniques and methodologies adopted or developed to address energy management problem and provides a table to compare such techniques. The current challenges and limitations of energy management systems are explained and some future research directions have been provided at the end of the paper.
Highlights
INTRODUCTIONMost of the world’s electric energy is generated in power plants from burning fossil fuels, which are limited in availability and have adverse environmental impacts [1]
This paper summarizes most of the proficient techniques used in this area that provide the information for the audience to make the right decision for performing energy management in a distribution system
DGs are integrated for grid reinforcement and reducing power losses, where new challenges will be introduced to the operation of the power distribution systems
Summary
Most of the world’s electric energy is generated in power plants from burning fossil fuels, which are limited in availability and have adverse environmental impacts [1]. Considering controllable DGs in distribution systems, several research articles have been published in energy management for minimizing the system losses and system operational costs. References [25]–[42] addressed different control strategies of DGs. as an energy management option, many papers have been published in literature to address the minimization of costs and losses in the distribution systems using system reconfiguration techniques [43]–[52]. Taha et al [11] present a model considering hybrid energy sources, including wind and solar as renewable sources, as well as controllable loads, while using a diesel generator and ESS for minimizing emissions to the environment.
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