Reliability-based long term hydro/thermal reserve allocation of power systems with high wind power penetration

Wang, Peng; Goel, L.; Ding, Yi; Chang, Loh Poh; Andrew, M. R.

doi:10.1109/pes.2009.5275326

Cited by 12 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the overestimation of energy yields means a higher voltage level selection of electrical equipment and higher capacity of cables are required, this will induce the waste of investment on components' redundancy. In addition, the wind farm control strategy and operating reserve will be influenced as well [2], [3]. Presently, there are three wake models that are widely used in solving the Wind Farm Optimization Problem (WFOP) as: Jensen model, Ainslie model and G.C.…”

Section: Nomenclaturementioning

confidence: 99%

A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines

Hou

Soltani

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

View full text Add to dashboard Cite

Abstract-In this paper, a mathematical model for calculating the energy yields of offshore wind farm with mixed types of wind turbines is proposed. The Jensen model is selected as the base and developed to a three dimension wake model to estimate the energy yields. Since the wind turbines are with different hub heights, the wind shear effect is also taken into consideration. The results show that the proposed wake model is effective in calculating the wind speed deficit. The calculation framework is applicable for energy yields calculation in offshore wind farms.Index Terms-different hub heights; shear effect; calculation framework; energy yields; wake model.

show abstract

Section: Nomenclaturementioning

confidence: 99%

A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines

Hou

Soltani

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

View full text Add to dashboard Cite

show abstract

“…It has a wide range of successful applications in various fields (Lisnianski and Levitin, 2003). In the power field, it has been used in particular to model wind generators (Wang et al 2009, Ding et al 2011). In our work, the UGF technique is used to model the power output of different random generation sources (Billinton and Gao, 2008) and the degradation/failure/repair behavior of the components of the generation system.…”

Section: Notationsmentioning

confidence: 99%

A multi-state model for the reliability assessment of a distributed generation system via universal generating function

Li¹,

Zio²

2012

Reliability Engineering & System Safety

139

View full text Add to dashboard Cite

International audienceThe current and future developments of electric power systems are pushing the boundaries of reliability assessment to consider distribution networks with renewable generators. Given the stochastic features of these elements, most modeling approaches rely on Monte Carlo simulation. The computational costs associated to the simulation approach force to treating mostly small-sized systems, i.e. with a limited number of lumped components of a given renewable technology (e.g. wind or solar, etc.) whose behavior is described by a binary state, working or failed. In this paper, we propose an analytical multi-state modeling approach for the reliability assessment of distributed generation (DG). The approach allows looking to a number of diverse energy generation technologies distributed on the system. Multiple states are used to describe the randomness in the generation units, due to the stochastic nature of the generation sources and of the mechanical degradation/failure behavior of the generation systems. The universal generating function (UGF) technique is used for the individual component multi-state modeling. A multiplication-type composition operator is introduced to combine the UGFs for the mechanical degradation and renewable generation source states into the UGF of the renewable generator power output. The overall multi-state DG system UGF is then constructed and classical reliability indices (e.g. loss of load expectation (LOLE), expected energy not supplied (EENS)) are computed from the DG system generation and load UGFs. An application of the model is shown on a DG system adapted from the IEEE 34 nodes distribution test feeder

show abstract

“…Due to the gradually advanced wind power technology, more and more large-scale wind farms have been built and the wake losses have become more evident at the same time. This also affects the WTs control strategy and operating reserve [4,5]. To estimate the wind velocity arriving at the downstream WT through the upstream WT, there are several popular and accurate wake models nowadays [6].…”

Section: Introductionmentioning

confidence: 99%

Optimized Placement of Onshore Wind Farms Considering Topography

Huang

et al. 2019

Energies

View full text Add to dashboard Cite

As the scale of onshore wind farms are increasing, the influence of wake behavior on power production becomes increasingly significant. Wind turbines sittings in onshore wind farms should take terrain into consideration including height change and slope curvature. However, optimized wind turbine (WT) placement for onshore wind farms considering both topographic amplitude and wake interaction is realistic. In this paper, an approach for optimized placement of onshore wind farms considering the topography as well as the wake effect is proposed. Based on minimizing the levelized production cost (LPC), the placement of WTs was optimized considering topography and the effect of this on WTs interactions. The results indicated that the proposed method was effective for finding the optimized layout for uneven onshore wind farms. The optimization method is applicable for optimized placement of onshore wind farms and can be extended to different topographic conditions.

show abstract

Reliability-based long term hydro/thermal reserve allocation of power systems with high wind power penetration

Cited by 12 publications

References 31 publications

A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines

A new approach for offshore wind farm energy yields calculation with mixed hub height wind turbines

A multi-state model for the reliability assessment of a distributed generation system via universal generating function

Optimized Placement of Onshore Wind Farms Considering Topography

Contact Info

Product

Resources

About