Dynamic analysis of island systems with wind-pumped-storage hybrid power stations

Papaefthymiou, Stefanos V.; Lakiotis, Vasileios G.; Margaris, Ioannis; Papathanassiou, Stavros A.

doi:10.1016/j.renene.2014.08.062

Cited by 63 publications

(28 citation statements)

References 19 publications

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“…Considering the volatility and stochastic nature of renewable technologies operation, the efficient management of power systems, in terms of planning and operation, has been the subject of several publications [7][8][9][10][11][12]. In addition to this, the idea of energy storage has been developed [13], especially for non-interconnected islands [14].…”

Section: Introductionmentioning

confidence: 99%

Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering

2019

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The significant penetration of renewables, in the Hellenic electricity system, during the last 12 years, was based on feed-in tariff-supporting schemes, according to the compliance to European Directives. The characteristics of this penetration are presented and analyzed in this paper based on real data. Photovoltaics, wind parks, hydroelectric plants, biomass-driven plants, and cogeneration systems are examined. The cost of the feed-in tariff incentives is qualified and analyzed. Simple but effective models are proposed to describe renewable seasonal variation: (a) A simple cosine model adequately describes the seasonal performance of various renewable technologies in terms of capacity factor; (b) a smart seasonal model based on the separation between winter and summer consumption activities (both following normal distributions) adequately describes the electricity consumption profile. The predicted values of renewable shares using the proposed models were also validated with historical data. Thus, the applied models can be used to forecast renewable shares under different penetration scenarios.

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Section: Introductionmentioning

confidence: 99%

Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering

2019

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“…In order to achieve this goal, the system must remain in operation continuously without long downtimes. Practically, achieving this goal e devices [1][2][3][4]. Protective devices function to achieve the Minimize damage and repair costs…”

Section: Consumer and Personnel Safetymentioning

confidence: 99%

Validating Response of AC Microgrid to Line-to-Line Short Circuit in Islanded Mode Using Dynamic Analysis

Aminu

2019

ACRI

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This paper is presented in an attempt to validate the dynamic response of a microgrid to line-to-line short circuit. The microgrid components include two identical Wind Turbine Generators (WTGs) tied to a 100MVA, 13.8kV utility via a Point of Common Coupling (PCC). The utility-microgrid testbed is modeled in SIMPOWERSystems® using two Doubly-Fed Induction Generators (DFIGs) in the microgrid side. While in islanded operating mode, line-to-line short circuit fault is applied at 6.0s and withdrawn at 8.0s, obtaining a 50.0s dynamic response of the system for different fault locations, under voltage and reactive power control regimes of the wind turbine controller. For measurement purpose, the absolute value of the stator complex voltage is transformed to reference frame. Bidirectional power flow between the two feeders is established in the study. The study also confirms that the microgrid composed of DFIGs offer reactive power management capability, particularly by presenting superior performance when stressed under Q control regime than under V control regime. Finally, the response of the testbed to line-to-line short circuit has been validated and shown to be consistent with established short circuit theory.

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“…Therefore, pumped storage power stations are a better way to provide backup service. Papaefthymiou et al [8] achieve high penetration levels of renewable energy in power systems by combining wind power and pumped storage power plants. Papaefthymiou and Papathanassiou [9] propose a novel unit commitment problem model and binary PSO algorithm to find the optimal schedule scheme.…”

Section: Introductionmentioning

confidence: 99%

A Joint Scheduling Optimization Model for Wind Power and Energy Storage Systems considering Carbon Emissions Trading and Demand Response

Aiwei

Chen

2016

Mathematical Problems in Engineering

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To reduce the influence of wind power random on system operation, energy storage systems (ESSs) and demand response (DR) are introduced to the traditional scheduling model of wind power and thermal power with carbon emission trading (CET). Firstly, a joint optimization scheduling model for wind power, thermal power, and ESSs is constructed. Secondly, DR and CET are integrated into the joint scheduling model. Finally, 10 thermal power units, a wind farm with 2800 MW of installed capacity, and 3 × 80 MW ESSs are taken as the simulation system for verifying the proposed models. The results show backup service for integrating wind power into the grid is provided by ESSs based on their charge-discharge characteristics. However, system profit reduces due to ESSs' high cost. Demand responses smooth the load curve, increase profit from power generation, and expand the wind power integration space. After introducing CET, the generation cost of thermal power units and the generation of wind power are both increased; however, the positive effect of DR on the system profit is also weakened. The simulation results reach the optimum when both DR and CET are introduced.

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Dynamic analysis of island systems with wind-pumped-storage hybrid power stations

Cited by 63 publications

References 19 publications

Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering

Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering

Validating Response of AC Microgrid to Line-to-Line Short Circuit in Islanded Mode Using Dynamic Analysis

A Joint Scheduling Optimization Model for Wind Power and Energy Storage Systems considering Carbon Emissions Trading and Demand Response

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