Optimal sizing of a lithium battery energy storage system for grid-connected photovoltaic systems

Abstract

This paper proposes a system analysis focused on finding the optimal operating conditions (nominal capacity, cycle depth, current rate, state of charge level) of a lithium battery energy storage system. The purpose of this work is to minimize the cost of the storage system in a renewable DC microgrid. Thus, main stress factors influencing both battery lifetime (calendar and cycling) and performances are described and modelled. Power and energy requirements are also discussed through a probabilistic analysis on some years of real data from the ADREAM photovoltaic building of the LAAS-CNRS in Toulouse, FRANCE.

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

“…In addition, an approach to find the optimal nominal capacity and cycle depth of the LIB storage system is proposed in Dulout et al, where the average SOC‐level is fixed to 50% according to the experimental data of Svoboda et al to achieve the longest cycle life. In this work, the battery life is modeled as a function of cycle depth.…”

“…Note that the resting period has a significant impact on the stationary applications since BESS is either in a resting state or operated with very low current rates. 10 In addition, an approach to find the optimal nominal capacity and cycle depth of the LIB storage system is proposed in Dulout et al, 53 where the average SOC-level is fixed to 50% according to the experimental data of Svoboda et al 54 to achieve the longest cycle life. In this work, the battery life is modeled as a function of cycle depth.…”

Optimal Energy Storage Sizing in Photovoltaic and Wind Hybrid Power System Meeting Demand-Side Management Program in Viet Nam

“…Optimal sizing of ES is an important value which is possible to minimize the cost of energy. This value depends on objectives of each problem and applied locations, approaching methods such as ratio of lack of power (RLP), loss of power supply probability (LSLP),... [9][10][11][12][13][14].…”

“…Value of LSLP can be applied to have the minimum cost for losing electricity or reaching required LSLP. It is easy to realize that this approach only evaluates the power supply probability and does not evaluate the effect of electric price level to the sizing of ES [10][11][12][13][14].…”

Simulation of the lithium-ion accumullator pulse discharge mode

“…В последние годы многие разработчики устройств в сфере энергетики нацелены на конструирование систем накопления энергии (СНЭ) [1][2][3]. За исключением преобразователя, основной частью СНЭ являются накопительные устройства, такие как суперконденсаторы, маховики, топливные элементы и т.д.…”