Improving power quality and load profile using PV‐Battery‐SAPF system with metaheuristic tuning and its HIL validation

Abstract

Summary Nonlinear load results in inferior power quality and a non‐uniform power demand curve. This gets aggravated due to the charging of electric vehicles. This paper presents a new control approach of integrating a photovoltaic (PV) cell with battery storage to a shunt active power filter (SAPF) for electric vehicle (EV) applications. The multifunctional PV‐Battery‐integrated SAPF (PV‐Battery‐SAPF) performs harmonic mitigation along with clean power generation, energy storage, uniform load demand curve, and battery swapping. It is achieved through a two‐stage topology. In the first stage, maximum power point (MPP) of a PV array is robustly tracked using metaheuristic algorithms like cuckoo search algorithm and particle swarm optimization. In the second stage, an ant colony optimization‐tuned controller is developed which adaptively controls the SAPF to improve the power quality. The suggested method provides efficient MPP tracking, lesser total harmonic distortion, better dynamic system performance, and appropriate charging/discharging of battery leading to increased system reliability. The proposed system is validated in real time on a hardware‐in‐the‐loop (HIL) testing platform.

Experimental Investigations on Particle Swarm Optimization Based Control Algorithm for Shunt Active Power Filter to Enhance Electric Power Quality

“…Random position values are used to initialize each particle. A repetitive process is employed to obtain the optimal values of PI controller parameters [42]- [43]. PSO involves identification of two premier feature movements of particles; 1) global particle-to-particle best outcome and 2) local particle's iteration-to-iteration for best solution.…”

Power management algorithm for a conservative power theory battery storage based multi‐functional three phase grid connectedPVinverter

“…In order to validate the proposed PM algorithm, the system depicted in Figure 1 was modeled and validated by the OPAL‐RT based OP 4500 real‐time grid simulator 21,29,38,41,43,48‐50 …”

“…Multi‐functional GCIs are gaining significant importance because of their capabilities to compensate harmonics, reactive power, unbalance, and neutral currents along with active power injection to the distribution system. The detailed review of the state of the art on multi‐functional GCI topologies and control strategies reported in the literature have been described in detail with its contributions and the research gaps in Table 1 11‐39 . All previously mentioned research studies discussed in Table 1 demonstrated their efficacy and legitimacy.…”

Configuration strategy of shared mitigation equipment for voltage sag considering the demands of users

“…PSO algorithm is used in this paper to solve the proposed model. In order to prove the effectiveness of PSO for the model, two other optimisation algorithms are compared here, including the niche genetic algorithm (NGA) [20] and the ant colony optimisation (ACO) [36]. Two indexes are considered for comparison, including the convergence speed and robustness.…”