A Techno-Economic Analysis of Energy Storage Components of Microgrids for Improving Energy Management Strategies

Abstract

Microgrids are essential elements of the energy transition because they allow optimal use of renewable energy sources (photovoltaic panels, wind turbines) and storage devices (batteries, supercapacitors) by connecting them to consumption poles (e.g., buildings, charging stations of electric vehicles). Lithium-ion batteries and supercapacitors are the main electrical storage devices usually used by microgrids for energy and power transient management. In the present paper, microgrid simulations have been performed. Electrothermal and aging models of storage components are presented. Strategies and scenarios for the batteries are presented either based on the state of charge limitation or hybrid association with supercapacitors. The contribution of this study is to provide a management strategy which considers the aging of storage systems in the real-time management of the microgrid in order to extend their life, while minimizing installation costs. The first approach for a techno-economic study provided in that study enables us to improve the strategies by optimizing the use of the battery. The results obtained in this paper demonstrate the key role of the techno-economic approach and knowledge of the aging processes of storage devices in improving the energy management and global feedback costs of microgrids. The simulation results show that battery life can be improved by 2.2 years. The improvement in battery life leads to a reduction in the total cost of the installation by reducing the cost of the batteries.

Recent Advances in Technologies, Methods, and Economic Analysis for Sustainable Development of Energy, Water, and Environment Systems

“…Strategies and scenarios for batteries, either based on the state of charge limitation or hybrid association with supercapacitors, have been presented [95]. Ndiaye et al [19] presented a study regarding a technoeconomic analysis of energy storage systems included in microgrids in order to improve the energy management strategies. For this aim, detailed simulations of the microgrids were performed, presenting both the electrothermal and aging models of the storage components.…”

“…Section 4 collects papers that address the topic of sustainable development for buildings, including energy supply and demand analysis (e.g., sediment heat energy [16], lifecycle analysis [17]) and lowtemperature direct heating and cooling (DHC) systems [18]. Section 5 collects papers that address the topic of techno-economic assessment of renewable systems (e.g., energy storage systems in microgrids [19] and smart control for hybrid renewable energy resources [20]) and environmental evaluation (especially for individual mountain huts [21] and building retrofit [22]). Eventually, Section 6 summarizes the main conclusions of the present review and the limitations of the current investigation.…”

Convolutional Neural Network Based Energy Consumption Management Model for the Full Life Cycle of Buildings and Information System Design

“…Moreover, the building information system is used to achieve dynamic output of building energy analysis such as electromechanics, architecture, Heating, Ventilation, and Air Conditioning (HVAC), and curtain wall and to provide a basis for parametric design. Quantitative indicators in the information system like system indicators, equipment parameters, and operation parameters are helpful to integrate and adjust the energy consumption of a building [19][20][21][22][23][24].…”

Methodology for Energy Management in a Smart Microgrid Based on the Efficiency of Dispatchable Renewable Generation Sources and Distributed Storage Systems

“…With stability of the microgrid as the main objective, the load following strategy is based on the adjustment of generation by the microgrid operator/manager to meet consumption demands at all times, responding in real time to variations and maintaining the energy balance. In the existing cases of isolated microgrids that have limited resources and generation sources [70], this type of strategy is the main management criterion for guaranteeing energy supply to loads/consumers [63,71,72]. In grid-connected microgrids, stability is not as sensitive as in the isolated case.…”