Decentralized wind energy systems providing small electrical loads in remote areas

Notton, Gilles; Muselli, Marc; Poggi, Philippe; Louche, A.

doi:10.1002/er.670

Cited by 47 publications

(26 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2003; Notton et al, 2001Notton et al, , 1998. For simplification, only the capital costs of the PV modules, the wind turbine, the battery, and the AC/DC converter connecting with the wind turbine are considered.…”

Section: Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Shi

Zhu

Guang-yi

2007

Int. J. Energy Res.

View full text Add to dashboard Cite

SUMMARYThe optimal design of the hybrid energy system can significantly improve the economical and technical performance of power supply. However, the problem is formidable because of the uncertain renewable energy supplies, the uncertain load demand, the nonlinear characteristics of some components, and the conflicting techno-economical objectives. In this work, the optimal design of the hybrid energy system has been formulated as a multi-objective optimization problem. We optimize the techno-economical performance of the hybrid energy system and analyse the trade-offs between the multi-objectives using multi-objective genetic algorithms. The proposed method is tested on the widely researched hybrid PVwind power system design problem. The optimization seeks the compromise system configurations with reference to three incommensurable techno-economical criteria, and uses an hourly time-step simulation procedure to determine the design criteria with the weather resources and the load demand for one reference year. The well-known efficient multi-objective genetic algorithm, called NGAS-II (the fast elitist non-dominated sorting genetic algorithm), is applied on this problem. A hybrid PV-wind power system has been designed with this method and several methods in the literature. The numerical results demonstrate that the proposed method is superior to the other methods. It can handle the optimal design of the hybrid energy system effectively and facilitate the designer with a range of the design solutions and the trade-off information. For this particular application, the hybrid PV-wind power system using more solar panels achieves better technical performance while the one using more wind power is more economical.

show abstract

Section: Problem Formulationmentioning

confidence: 99%

“…The common methods derive the most economical system configuration from the candidate ones that meet the technical constraints and the reliability requirements (Muselli et al, 1999;Notton et al, 2001;Kellogg et al, 1996). Their applications are based on the hourly time-step simulation of the system for a predetermined configuration.…”

Section: Introductionmentioning

confidence: 99%

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Shi

Zhu

Guang-yi

2007

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…2. If the stop criterion is not satisfied, update the position and velocity vectors according to (9), increase iteration by one, and go to Step 4.…”

Section: Ifmentioning

confidence: 99%

“…The problem of determining the optimum capacities for different types of renewable generation and storage systems has been studied in the literature [9]- [20]. Some researchers have determined the optimum capacity for stand-alone wind generation-battery systems [9], [10]. There are some studies that have been specifically conducted for large-capacity wind turbines [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

“…The optimum capacities depend on various factors, such as electricity rates, stochastic behavior of renewable resources, load profile, and grid connection policies. The problem of determining the optimum capacities for different types of renewable generation and storage systems has been studied in the literature [9]- [20]. Some researchers have determined the optimum capacity for stand-alone wind generation-battery systems [9], [10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households

Kahrobaee

Asgarpoor

Wang

2013

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Design and optimization of isolated energy systems through pinch analysis

Bandyopadhyay

2011

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

Isolated energy systems seem to be a promising option for electrifying remote locations where grid extension is not feasible or economical. Integration of battery bank as means of energy storage with different renewable energy systems can enhance the system reliability and its overall performance. Therefore, appropriate choices of generator sizes and the battery bank capacity are critical to the success of such renewable‐based isolated power systems. In this article, the tools of pinch analysis are extended to design isolated renewable energy systems. The importance of setting targets before design is highlighted for designing renewable‐based isolated energy systems. The system sizing through the grand composite curve (GCC) representation of stored energy is proposed in this article. The set of all feasible solutions, defined as the design space for the system, is graphically represented for in‐depth visualization. The relation between the design space approach for designing and optimizing an isolated energy system and the principles of pinch analysis have been established in this article. The GCC representation also provides opportunity to the system designer for strategic load growth without affecting the system size. Copyright © 2011 Curtin University of Technology and John Wiley & Sons, Ltd.

show abstract

Decentralized wind energy systems providing small electrical loads in remote areas

Cited by 47 publications

References 18 publications

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households

Design and optimization of isolated energy systems through pinch analysis

Contact Info

Product

Resources

About