Wireless Electric Vehicle Battery-Charging System for Solar-Powered Residential Applications

Having great performance on active power regulation, grid-connected adjustable-speed pumped storage unit (ASPSU) has attracted worldwide concern. This superior transient response is achieved by both its excitation system and speed governing system, but dynamic characteristics study of ASPSU taking into account the optimal control of speed governor has seldom been explored. This paper first presents small-signal-stability model of on-grid ASPSU. Furthermore, instead of the dynamicperformance-indexes rule, a stability-degree criteria is proposed to optimize parameters for the speed regulator of ASPSU, which aims at improving the dynamic behavior of rotational speed and guide vane opening. Firstly, a mathematical model of on-grid ASPSU with power priority control is derived and it is validated by comparing simulated performance with on-site measurements of a Japanese commissioned ASPSU. Secondly, the small-signal-stability model is showcased, and the influence of control parameters on the stability degree which builds the bridge between eigenvalues and transient performance is investigated in details. Thirdly, instead of improved integral of time-weighted-absolute-error criteria, a novel stability-degree criteria is utilised in particle swarm optimization algorithm to optimise the regulator's parameters of ASPSU. Finally, with the optimised parameters, the indicial response of a 400MW on-grid ASPSU built with PSCAD/EMTDC is significantly enhanced.

show abstract

“…The interfacing with power grid can be appeared in Figure 5, and written by equation (13) [6], [12], [29], [30].…”

Section: Interfacing With Power Gridmentioning

confidence: 99%

Optimal Control for Speed Governing System of On-Grid Adjustable-Speed Pumped Storage Unit Aimed at Transient Performance Improvement

et al. 2021

View full text Add to dashboard Cite

show abstract

“…There are many types of RESs such as solar PV, wind, fuel cell, and biomass, to name a few, that have been used a lot in generating electric power for on-grid and off-grid applications [1][2][3]. Some PV off-grid applications for charging electric vehicle batteries with wireless and wired mode [4][5]. The authors compared the results with those obtained by experimental prototype design.…”

Section: Introductionmentioning

confidence: 99%

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

et al. 2021

View full text Add to dashboard Cite

Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation's system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

show abstract

“…Solar energy is particularly interesting because it is available in almost any place and not hard to harvest. However, in order to make this energy competitive with traditional ones, many researchers have put their efforts to improve the operation of the different stages of photovoltaic (PV) plants, including some applications as the electric vehicles [2], [3]. Therefore, the study has been mostly divided into the Maximum Power Point Tracking (MPPT) algorithms, in the power converter stage, using a dc/dc converter or only a inverter, and the proper control of these power converters [3], [4].…”

Section: Introductionmentioning

confidence: 99%

A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

et al. 2021

View full text Add to dashboard Cite

This paper presents a novel simplified method to implement the finite set -model predictive control technique for photovoltaic generation systems connected to the ac network. This method maintains the advantages of the conventional finite set -model predictive control, such as fast response, simple implementation, and easy understanding; but it also eliminates the use of a cost function and hence the weighting factors, instead, it finds the optimal operating state directly from the model and the discrete number of valid states of the converter. Although the proposed algorithm does not compute a cost function, it is able to select the inverter state that minimizes the tracking error by using a hexagonal convergence region. The main advantage of this technique is to reduce the computational cost in 43% of the algorithm that selects the best state, presenting a simple and complete algorithm without compromising the predictive control performance. The proposed algorithm properly operates under various conditions such as changes in the network frequency and changes in the system parameters.INDEX TERMS Predictive control, Solar power generation, ac-dc power converters, Fast MPC.

show abstract

Wireless Electric Vehicle Battery-Charging System for Solar-Powered Residential Applications

Cited by 5 publications

References 0 publications

Optimal Control for Speed Governing System of On-Grid Adjustable-Speed Pumped Storage Unit Aimed at Transient Performance Improvement

Optimal Control for Speed Governing System of On-Grid Adjustable-Speed Pumped Storage Unit Aimed at Transient Performance Improvement

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

Contact Info

Product

Resources

About