Control strategy of a stand-alone variable speed wind turbine with integrated energy storage system using NPC converter

Haruni, A. M. O.; Negnevitsky, Michael; Haque, M. E.; Gargoom, Ameen

doi:10.1109/pes.2011.6039753

Cited by 4 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…X(1)-X( 24) Hourly data to be estimated of similar day The similar day selection interval is shown in Figure 5. Since the solar irradiation, temperature and electricity loads characteristics of the seasonal effects show similarity at the same time during the year, it is considered to be a time series [47].…”

Section: Input Variables Explanationmentioning

confidence: 99%

“…The similar day selection interval is shown in Figure 5. Since the solar irradiation, temperature and electricity loads characteristics of the seasonal effects show similarity at the same time during the year, it is considered to be a time series [47]. After selecting the 90-day interval for solar irradiation forecasting, the clearness index of each day for these 90 days was calculated and similar days were classified among themselves.…”

Section: Output Variables Explanationmentioning

confidence: 99%

See 1 more Smart Citation

Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

et al. 2020

View full text Add to dashboard Cite

With constant population growth and the rise in technology use, the demand for electrical energy has increased significantly. Increasing fossil-fuel-based electricity generation has serious impacts on environment. As a result, interest in renewable resources has risen, as they are environmentally friendly and may prove to be economical in the long run. However, the intermittent character of renewable energy sources is a major disadvantage. It is important to integrate them with the rest of the grid so that their benefits can be reaped while their negative impacts can be mitigated. In this article, an energy management algorithm is recommended for a grid-connected microgrid consisting of loads, a photovoltaic (PV) system and a battery for efficient use of energy. A model predictive control-inspired approach for energy management is developed using the PV power and consumption estimation obtained from daylight solar irradiation and temperature estimation of the same area. An energy management algorithm, which is based on a neuro-fuzzy inference system, is designed by determining the possible operating states of the system. The proposed system is compared with a rule-based control strategy. Results show that the developed control algorithm ensures that microgrid is supplied with reliable energy while the renewable energy use is maximized.

show abstract

Section: Input Variables Explanationmentioning

confidence: 99%

Section: Output Variables Explanationmentioning

confidence: 99%

Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Compared to the 2L-BTB, ML converters, especially three-level converters, produce much lower switching losses, as well as lower switch stress, harmonic distortion and / stress on the generator and transformer [65], [66]. However, due to higher number of switches, higher cost and control complexity are associated with ML converters.…”

Section: C) Multi-level Convertermentioning

confidence: 99%

“…Storage integration within VSI-based WECS has received a great deal of attention from both researchers [32], [47], [65] and manufacturers [113]. However, since the CSI-based WECSs are usually employed for on-grid applications, storage integration has not been a real concern, neither in the literature nor in the wind market.…”

Section: Integration Of Energy Storage With the Csimentioning

confidence: 99%

A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel storage integration scheme

Alnasir

Kazerani

2016

Renewable Energy

View full text Add to dashboard Cite

Small-scale standalone wind turbines provide a very attractive renewable energy source for off-grid remote communities. Taking advantage of variable-speed turbine technology, which requires a partial-or full-scale power converter, and through integrating an energy storage system, smooth and fast power flow control, maximum power point tracking, and a highquality power is ensured.Due to high reliability and efficiency, permanent magnet synchronous generator seems to be the dominating generator type in gearless wind turbines, employed for off-grid applications.However, wind turbines using geared squirrel-cage induction generator (SCIG) are still widely accepted due to their robustness, simplicity, light weight and low cost. Permanent magnet induction generator, a relatively new induction-based machine, has recently been recognized in the wind energy market as an alternative for permanent magnet synchronous generator. A thorough comparative study, among these three generator types, is conducted in this research in order to enable selection of the most appropriate generator for off-grid wind energy conversion system (WECS), subject to a set of given conditions. The system based on geared SCIG has been shown to be the most appropriate scheme for a small-scale standalone WECS, supplying a remote area.Different topologies of power electronic converters, employed in WECSs, are overviewed.Among the converters considered, current source converter is identified to have a great potential for off-grid wind turbines.Three current-source inverter-based topologies, validated in the literature for on-grid WECS, are compared for off-grid WECS application. Feasibility study and performance evaluation are conducted through analysis and simulation. Among all, the topology composed of three-phase diode bridge rectifier, DC/DC buck converter, and pulse-width-modulated current-source inverter (PWM-CSI) is identified as a simple and low-cost configuration, offering satisfactory performance for a low-power off-grid WECS.A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel energy storage integration scheme is proposed and a systematic approach for the dc-link inductor design is presented. iv In developing the overall dynamic model of the proposed wind turbine system, detailed models of the system components are derived. A reduced-order generic load model, that is suitable for both balanced and unbalanced load conditions, is developed and combined with the system components in order to enable steady-state and transient simulations of the overall system. A linear small-signal model of the system is developed around three operating points to investigate stability, controllability, and observability of the system. The eigenvalue analysis of the small-signal model shows that the open-loop system is locally stable around operating points 1 and 3, but not 2. Gramian matrices of the linearized system show that the system is completely controllable at the three operating points and completely observable at...

show abstract

An effective technique to improve generator-set efficiency for charging battery using IPMSG

Lumyong

Sarikprueck

2017

2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Syst

View full text Add to dashboard Cite

Control strategy of a stand-alone variable speed wind turbine with integrated energy storage system using NPC converter

Cited by 4 publications

References 14 publications

Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

A small-scale standalone wind energy conversion system featuring SCIG, CSI and a novel storage integration scheme

An effective technique to improve generator-set efficiency for charging battery using IPMSG

Contact Info

Product

Resources

About