DC Bus Voltage Stabilization and SOC Management Using Optimal Tuning of Controllers for Supercapacitor Based PV Hybrid Energy Storage System

Abstract

The global initiative of decarbonization has led to the popularity of renewable energy sources, especially solar photovoltaic (PV) cells and energy storage systems. However, standalone battery-based energy storage systems are inefficient in terms of the shelf and cycle life, reliability, and overall performance, especially in instantaneous variations in solar irradiance and load. In order to overcome this, a combination of a supercapacitor and battery-based hybrid energy storage system (HESS) is considered as an emerging and viable solution. The present work proposes an optimally tuned tilt-integral (TI) controller to develop an efficient power management strategy (PMS) to enhance the overall system performance. The controller parameters are tuned by optimization of the time-domain design specifications using a gradient-free simplex search technique. The robustness of the proposed TI controller is demonstrated in comparison to PI and fractional-order PI (FOPI) controllers. Furthermore, extensive experimentation was carried out to analyze the effectiveness of the proposed approach for DC bus voltage stabilization and state-of-charge (SOC) management under varying operating conditions such as solar irradiance, load, temperature, and SOC consumption by battery.

An efficient energy management scheme using rule-based swarm intelligence approach to support pulsed load via solar-powered battery-ultracapacitor hybrid energy system

“…The output current Eq. ( 1 ) of a PV module is obtained by its single-diode model 6 , 18 , 24 . The main external factors that affect are incident irradiance ( G ) and temperature ( T ).…”

Optimized Power Management Approach for Photovoltaic Systems with Hybrid Battery-Supercapacitor Storage

“…Despite the fact that the technologies used in each vary, the majority of applications focus on isolated systems for electrification [34,35], microgrids [36,37], and multi-storage in traction and electric cars [38,39]. Various algorithms in the literature can address this problem [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. Some EMs approaches make use of analogical statements in decision algorithms [40] or linear controllers such as in [39].…”

“…The FLC was also utilized in [50] to control the total power supply of the flow system while keeping the charging battery in an operable state. In [51][52][53], it presented a PMC for electric vehicles (EV) that does not employ power optimization but accounts for and manages extra power using a multi-objective approach. The approach was then extended to a pumping system with many sources [54].…”

Fractional order modeling based optimal multistage constant current charging strategy for lithium iron phosphate batteries

“…Further, the excessive charging time detracts from the viability of EVs by eroding consumer confidence and resulting in a poor user experience 17 . On the other hand, when the charging current is too high, the battery temperature rises quickly, degrading its capacity and drastically shortening its lifespan 18,19 . In order to get the best performance out of the LFP battery, care must be taken to charge and discharge them properly since it is prohibited to overcharge or over‐discharge.…”

“…17 On the other hand, when the charging current is too high, the battery temperature rises quickly, degrading its capacity and drastically shortening its lifespan. 18,19 In order to get the best performance out of the LFP battery, care must be taken to charge and discharge them properly since it is prohibited to overcharge or over-discharge. Thus, a battery charger that provides a fast and safe charge without compromising the performance or life of the battery is high on the list of desirable characteristics.…”