Optimal design and techno-economic analysis of a hybrid solar–wind power generation system

Yang, Hongxing; Zhou, Wei; Lou, Chengzhi

doi:10.1016/j.apenergy.2008.03.008

Cited by 602 publications

(203 citation statements)

References 10 publications

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“…The above procedure is for run off river type of hydro system. The hydro potential of a site is given by (44) where A site is catchment area of power plant (m 2 ), A gauge is catchment area of gauge (m 2 ), Q site is discharge at site (m 3 /s), Q gauge is discharge at gauge (m 3 /s), and K is scaling constant or function. The mechanical power generated by the turbine is given by (45) where P is mechanical power output produced at the turbine, η total hydraulic efficiency of the turbine, ρ is density of water (1000 kg/m 3 ), g is acceleration due to gravity (9.81 m/s 2 ), and H is effective pressure head (m).…”

Section: Hydro Power Systemmentioning

confidence: 99%

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Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

Bhandari

Poudel

Lee

et al. 2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

249

105

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Harnessing energy from alternative energy source has been recorded since early history. Renewable energy is abundantly found anywhere, free of cost and has non-polluting characteristics. However, these energy sources are based on the weather condition and possess inherited intermittent nature, which hinders stable power supply. Combining multiple renewable energy resources can be a possible solution to overcome defects, which not only provides reliable power but also leads to reduction in required storage capacity. Although an oversized hybrid system satisfies the load demand, it can be unnecessarily expensive. An undersized hybrid system is economical, but may not be able to meet the load demand. The optimal sizing of the renewable energy power system depends on the mathematical model of system components. This paper summarizes the mathematical modeling of various renewable energy system particularly PV, wind, hydro and storage devices. Because of the nonlinear power characteristics, wind and PV system require special techniques to extract maximum power. Hybrid system has complex control system due to integration of two (or more) different power sources. The complexity of system increases with maximum power point tracking (MPPT) techniques employed in their subsystems. This paper also summarizes mathematical modeling of various MPPT techniques for hybrid renewable energy systems.

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Section: Hydro Power Systemmentioning

confidence: 99%

“…The power output in terms of wind speed can be estimated using 43 (20) where P R is rated power, v C is cut-in wind speed, v R is rated wind speed, v F is rated cut-out speed, and k is the Weibull shape factor. Kalantar and Mousavi 5 used value of k as 1 while Daif et al 15 and Yang et al 44 used the value of k as 2, Chedid et al 45 took the value as 3.…”

mentioning

confidence: 99%

Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

Bhandari

Poudel

Lee

et al. 2014

Int. J. of Precis. Eng. and Manuf.-Green Tech.

249

105

View full text Add to dashboard Cite

show abstract

“…The hybrid energy generating systems (such as wind-diesel, pv-diesel, wind-pv-diesel etc. with and without battery storage options) are not new technologies or systems rather existed in practice for the last two decades as mentioned by Yang et al [3]. The authors have recommended an optimal design model for hybrid solar-wind system which employed battery banks to calculate the system's optimum configurations in China.…”

Section: Introductionmentioning

confidence: 99%

Feasibility study of a wind–pv–diesel hybrid power system for a village

et al. 2012

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A wind-pv-diesel hybrid power system has been designed fro a village in Saudi Arabia which is presently powered by a diesel power plant consisting of eight diesel generating sets of 1,120kW each. The study found a wind-pv-diesel hybrid power system with 35% renewable energy penetration (26% wind and 9% solar PV) to be the feasible system with cost of energy of 0.212US$/kWh. The proposed system was comprised of 3 wind turbines each of 600kW, 1000kW of PV panels, and four diesel generating sets each of 1120kW rated power. The system was able to meet the energy requirements (AC primary load of 17,043.4MWh/y) of the village with 4.1% energy in excess. The annual contributions of wind, solar pv and the diesel generating sets were 4,713.7, 1,653.5, and 11,542.6MWh, respectively. The proposed hybrid power system resulted in avoiding addition of 4,976.8 tons of GHG equivalent of CO 2 gas in to the local atmosphere of the village and conservation of 10,824 barrels of fossil fuel annually.

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“…In recent years, TS has emerged as a highly efficient, search paradigm for finding high quality solutions quickly to combinative problems [10]. However, GAs often takes a lot of time in order to find the global optimum [11][12][13][14][15], and some studies have utilized a hybrid genetic algorithm to improve its performance. The drawback of TS is that its effectiveness depends very much on the strategy for manipulation of the tabu list.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid GA-TS Algorithm for Optimizing Networked Manufacturing Resources Configuration

Zhan¹,

Lu²,

Li³

2013

Appl. Math. Inf. Sci.

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Abstract:In recent years, more and more researchers have focused on various significant issues of resource configuration, such as maximum computing performance and minimum response time, especially taking existing resource utilization into account. The goal of this research is to design a resource configuration optimization system under networked manufacturing environment. A prediction mechanism is realized by using support vector regression (SVR) to estimate resource utilization according to network protocol of each manufacturing process, while redistributing resources based on the current status of existing resources pool. A resource configuration mechanism applying genetic algorithm working along with the tabu search process (GA-TS) is proposed in this study to determine the redistribution of resources. The experimental results show that the proposed scheme achieves an effective configuration via reaching the balance between the utilization of resources within existing resources and network protocol of each manufacturing process between potential resource requirements and the network resource providers.

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Optimal design and techno-economic analysis of a hybrid solar–wind power generation system

Cited by 602 publications

References 10 publications

Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

Mathematical modeling of hybrid renewable energy system: A review on small hydro-solar-wind power generation

Feasibility study of a wind–pv–diesel hybrid power system for a village

A Hybrid GA-TS Algorithm for Optimizing Networked Manufacturing Resources Configuration

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