Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Marinelli, Mattia; Maule, Petr; Hahmann, Andrea N.; Gehrke, Oliver; Nørgård, Per; Cutululis, Nicolaos Antonio

doi:10.1109/tste.2014.2347591

Cited by 50 publications

(31 citation statements)

References 13 publications

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“…Stochastic time series models of wind speed or wind power built in [17][18][19][20][21] consider both temporal and spatial dependency structures in detail. The data generated by those models restore the correlation between wind farms.…”

Section: Chronological Wind Power Modelling Considering Correlationmentioning

confidence: 99%

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Universal Generating Function Based Probabilistic Production Simulation Approach Considering Wind Speed Correlation

Zhou

Wang

et al. 2017

Energies

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Due to the volatile and correlated nature of wind speed, a high share of wind power penetration poses challenges to power system production simulation. Existing power system probabilistic production simulation approaches are in short of considering the time-varying characteristics of wind power and load, as well as the correlation between wind speeds at the same time, which brings about some problems in planning and analysis for the power system with high wind power penetration. Based on universal generating function (UGF), this paper proposes a novel probabilistic production simulation approach considering wind speed correlation. UGF is utilized to develop the chronological models of wind power that characterizes wind speed correlation simultaneously, as well as the chronological models of conventional generation sources and load. The supply and demand are matched chronologically to not only obtain generation schedules, but also reliability indices both at each simulation interval and the whole period. The proposed approach has been tested on the improved IEEE-RTS 79 test system and is compared with the Monte Carlo approach and the sequence operation theory approach. The results verified the proposed approach with the merits of computation simplicity and accuracy.

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Section: Chronological Wind Power Modelling Considering Correlationmentioning

confidence: 99%

“…The time series generated by those models respects both the chronological persistence structures of the individual variables as well as the spatial dependencies between them. A meteorological re-analysis model is proposed in [21], it takes into account the characteristics of different plants technologies and spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

Universal Generating Function Based Probabilistic Production Simulation Approach Considering Wind Speed Correlation

Zhou

Wang

et al. 2017

Energies

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“…(8) shows the electrical torque (T e ) in terms of Mechanical torque (T m ) and mechanical output power (P wt ) of the wind generator are given in terms of Eq. (10) and (11). The mechanical torque and power of the wind generator can be defined using the power coefficient C p using Eq .…”

Section: Design Considerationmentioning

confidence: 99%

“…However, solar radiation, wind velocity and wind direction are unpredictable and change rapidly based on the variations of environmental conditions [9][10][11][12][13]. Therefore, an individual power conditioning for each of the individual system is required to operate the interconnected renewable systems more efficiently.…”

Section: Introductionmentioning

confidence: 99%

Independent MPPTracking Method of Hybrid Solar-Wind Power Conditioning Systems Using Integrated Dual-Input Single-PWM-Cell Converter Topology

Thenathayalan¹,

Ahmed²,

Choi³

et al. 2017

Journal of Electrical Engineering and Technology

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-This paper proposes the modeling and control strategy to track the MPPs of hybrid PV and Wind power systems, using a new dual input boost converter. The dual input power conditioning system with an independent MPPT control scheme is introduced with minimum number of circuit elements in order to reduce the switching loss, size and cost of the system. Since the operating conditions for the PV and Wind power systems are very distinct from each other, an efficient and superior control system is required to track the MPPs of both renewable sources with the use of a simply-structured single-ended single-inductor converter. The design of Power-Conditioning System (PCS) and detail control strategy are presented in this paper. To provide independent tracking of MPPs, a variable duty-cycle control strategy is employed for the wind system and a variable frequency strategy is employed for the PV system. Finally, the proposed dual-input converter for hybrid power conditioning system is implemented and the hardware test results are presented. From the hardware experiment, it is concluded that the proposed system successfully tracks the MPPs of both of the renewable power systems independently.

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“…in non-measured locations, have been presented in [10], [11]. The modelling of power systems with both PV and wind power is a current topic, and is being actively researched and published, [12]- [15]. The impacts of the geographical distributions of the PV or wind generation have been analysed separately in [10], [11], [16].…”

Section: Introductionmentioning

confidence: 99%

A Statistical Model for Hourly Large-Scale Wind and Photovoltaic Generation in New Locations

Ekström

Koivisto

Mellin

et al. 2017

IEEE Trans. Sustain. Energy

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Abstract-The analysis of large-scale wind and photovoltaic (PV) energy generation is of vital importance in power systems where their penetration is high. This paper presents a modular methodology to assess the power generation and volatility of a system consisting of both PV plants (PVPs) and wind power plants (WPPs) in new locations. The methodology is based on statistical modelling of PV and WPP locations with a vector autoregressive model, which takes into account both the temporal correlations in individual plants and the spatial correlations between the plants. The spatial correlations are linked through distances between the locations, which allows the methodology to be used to assess scenarios with PVPs and WPPs in multiple locations without actual measurement data. The methodology can be applied by the transmission and distribution system operators when analysing the effects and feasibility of new PVPs and WPPs in system planning. The model is verified against hourly measured wind speed and solar irradiance data from Finland. A case study assessing the impact of the geographical distribution of the PVPs and WPPs on aggregate power generation and its variability is presented.

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Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

Cited by 50 publications

References 13 publications

Universal Generating Function Based Probabilistic Production Simulation Approach Considering Wind Speed Correlation

Universal Generating Function Based Probabilistic Production Simulation Approach Considering Wind Speed Correlation

Independent MPPTracking Method of Hybrid Solar-Wind Power Conditioning Systems Using Integrated Dual-Input Single-PWM-Cell Converter Topology

A Statistical Model for Hourly Large-Scale Wind and Photovoltaic Generation in New Locations

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