Irregular-shape wind farm micro-siting optimization

Gu, Huajie; Wang, Jun

doi:10.1016/j.energy.2013.05.066

Cited by 43 publications

(20 citation statements)

References 22 publications

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“…4. The topography of the wind farm is [28] shown in Fig. 2(a) and its surface roughness length z 0 is 0.7 m [25].…”

Section: Simulation Results and Analysesmentioning

confidence: 99%

Automatic Contour-Based Road Network Design for Optimized Wind Farm Micrositing

Wang

et al. 2015

IEEE Trans. Sustain. Energy

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Abstract-Constructing the access roads between wind turbines requires a significant cost when a wind farm is built in hills or mountains. An optimized design of road network can substantially reduce construction costs and increase investment returns. In this paper, we consider a challenging problem of the road network design for a wind farm with complex topography. An automatic contour-based model is developed for road network design, and is incorporated into the optimization of wind farm micrositing to maximize investment returns of the wind farm. The directions of access roads are first deduced from a contour tree, the route projections are then designed by a gradient-bounded algorithm, and the most cost-effective road network is finally obtained by the minimum spanning tree algorithm. The topographic speedup, wind resource grid and Park wake model are incorporated to accurately evaluate the power production of the wind farm. Both the profit of wind energy sales and the cost of access roads are combined into a cost function called net present value, which is optimized using genetic algorithms. Simulation results illustrate that the length of access roads is decreased significantly while the locations of wind turbines are optimized. The proposed method simultaneously optimizes the turbine layout and road network of the wind farm, therefore achieving a more practical and profitable wind farm micrositing.

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“…4. The topography of the wind farm is [28] shown in Fig. 2(a) and its surface roughness length z 0 is 0.7 m [25].…”

Section: Simulation Results and Analysesmentioning

confidence: 99%

Automatic Contour-Based Road Network Design for Optimized Wind Farm Micrositing

Wang

et al. 2015

IEEE Trans. Sustain. Energy

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“…As the boundary shape complexity is increased, the complexity of the wind farm model constraints increase, thus affecting the performance of the proposed solution procedures. In order to deal with this issue, a novel multi-boundary constraint model, which is based on the optimal design of polygonal geometries used to approximate the shape of complex boundaries, and the incorporation of a ray intersection method, used to determine if WTs are located on feasible locations, was recently developed by Gu and Wang [361]. The robust model of Gu and Wang may be successfully implemented in different optimization frameworks, thus enhancing the constraints management.…”

Section: Solution Methodsmentioning

confidence: 99%

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

et al. 2014

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This article presents a review of the state of the art of the Wind Farm Design and Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning actions needed to extremize the performance of wind farms, which may be composed of a few individual Wind Turbines (WTs) up to thousands of WTs. The WFDO problem has been investigated in different scenarios, with substantial differences in main objectives, modelling assumptions, constraints, and numerical solution methods. The aim of this paper is: (1) to present an exhaustive survey of the literature covering the full span of the subject, an analysis of the state-of-the-art models describing the performance of wind farms as well as its extensions, and the numerical approaches used to solve the problem; (2) to provide an overview of the available knowledge and recent progress in the application of such strategies to real onshore and offshore wind farms; and (3) to propose a comprehensive agenda for future research. OPEN ACCESSEnergies 2014, 7 6931

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“…The economic dispatch problem in this paper is optimized by a Gaussian particle swarm optimization algorithm with differential evolution local search (DLGPSO) [12,13]. The DLGPSO optimizer offers a self-tuning capability based on Gaussian distribution so as to avoid the parameter sensitivity of the original PSO algorithm.…”

Section: B Synchronous Inertia Constrained Economic Dispatchmentioning

confidence: 99%

“…The current wind speed is associated with the ability of a wind farm during a dispatch interval to contribute a certain amount of power reserve. The variation of wind speeds over a certain time interval on the ith wind farm is conventionally assumed to be subject to Weibull distribution with scale parameter i c and shape parameter i k [12,16,17]. Scale and shape parameters are derived from historical wind statistics.…”

Section: Wind Reserve Uncertaintymentioning

confidence: 99%

“…Meanwhile, synchronous condensers are scheduled to keep the adequacy of synchronous inertia. The proposed economic dispatch algorithm schedules wind reserve and synchronous condensers simultaneously with conventional FCAS from synchronous generators.The economic dispatch problem in this paper is optimized by a Gaussian particle swarm optimization algorithm with differential evolution local search (DLGPSO) [12,13]. The DLGPSO optimizer offers a self-tuning capability based on Gaussian distribution so as to avoid the parameter sensitivity of the original PSO algorithm.…”

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Minimum Synchronous Inertia Requirement of Renewable Power Systems

Yan

Saha

2018

IEEE Trans. Power Syst.

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151

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Abstract-The installed capacity of wind generation and photovoltaics (PV) in many countries is going to dominate generation fleets in a bid to meet growing renewable energy targets. Synchronous inertia has never been problematic as there was more available than needed, but it is being significantly reduced due to the increasing integration of non-synchronous renewable generation. When the low bidding priced generation of wind and PV becomes considerably large, conventional economic dispatch algorithms can result in less online synchronous inertia and put power system security at risk. However, the compromise of power system security due to synchronous inertia shortage is not well studied in literature. This paper develops a synchronous inertia constrained economic dispatch algorithm to satisfy the minimum required synchronous inertia of frequency control. Synchronous condensers and wind reserve are economically allocated to alleviate any shortage of synchronous inertia and frequency control ancillary services (FCAS). A Gaussian particle swarm optimization algorithm is introduced to simultaneously co-optimize the dispatch of synchronous generators and their FCAS, wind reserve and synchronous condensers.Index Terms-Synchronous inertia, economic dispatch, wind turbine, renewable energy, power system.  NOMENCLATURE   CtOverall power system operational cost in the economic dispatch cycle t in terms of net load   [2] are also crucial, the most basic and challenging problem lies in the electricity supply side.Economic dispatch algorithms proposed in literature have focused on the improvement of algorithm performance [3,4] and consideration of more operational constraints [5], such as spinning reserve and generator ramp rates. They did not dynamically evaluate the synchronous inertia adequacy of a dispatch result in terms of N-1 contingency [3][4][5]. This is due to the fact that synchronous inertia adequacy is not a problem for a conventional power system with limited non-synchronous generation.However, synchronous inertia is being materially reduced due to ongoing displacement of synchronous generators by asynchronous ones, such as wind turbine generators and photovoltaic (PV) panels. Electronic inverters used in wind turbines and PV panels lack the synchronous inertia that can help an RPS survive a major disturbance.If comprised of less online synchronous inertia, an RPS may routinely suffer a rapid rate of change of frequency (RoCoF) and a large frequency deviation following a disturbance. A great RoCoF of 6 Hz/s was recorded in the South Australian blackout on September 28, 2016 which was caused by the "lightness" of the South Australian power system [6]. The instantaneous penetration level of wind and PV generation was over 50% before the blackout in South Australia and only three thermal power plants were dispatched [6].This paper therefore proposes a synchronous inertia constrained economic dispatch to keep the minimum amount of synchronous inertia online. The proposed algorithm introduces a feedback loop...

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Irregular-shape wind farm micro-siting optimization

Cited by 43 publications

References 22 publications

Automatic Contour-Based Road Network Design for Optimized Wind Farm Micrositing

Automatic Contour-Based Road Network Design for Optimized Wind Farm Micrositing

A Review of Methodological Approaches for the Design and Optimization of Wind Farms

Minimum Synchronous Inertia Requirement of Renewable Power Systems

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