Wind farm power management by high penetration of PHEV

Ghanbarzadeh, Taraneh; Baboli, Payam Teimourzadeh; Rostami, Maryam; Moghaddam, Mohsen Parsa; Sheikh‐El‐Eslami, Mohammad Kazem

doi:10.1109/pes.2011.6039902

Cited by 19 publications

(10 citation statements)

References 6 publications

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“…As is known, the role of a single V2G is unobvious. The V2G aggregator was proposed by Taraneh Ghanbarzadeh in [55]. The V2G aggregator's role was to effectively collect EVs into a single entity that could act either as a generation/storage device or as a controllable load.…”

Section: Hybrid System With Renewable Energymentioning

confidence: 99%

“…Similarly, the VPP which includes the controllable loads, DG, renewable energy sources (RES), conventional power plants (CPP), and energy storage systems, also promotes a new vision for distribution systems operation, where a "grid customer" is a load or generation resource (or a mix of the two: a "prosumer") [59]. The load aggregator is also a market entity to maximize the demand response potential by scheduling a large number of medium-sized and small controllable loads [55]. From the view point of the distribution systems operation, the microgrid and VPP are also regarded as the loads.…”

Section: Broad Controllable Loads Management and Effectiveness Analysismentioning

confidence: 99%

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Controllable Load Management Approaches in Smart Grids

Shen

Jiang

2015

Energies

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Abstract:With rapid smart grid technology development, the customer can actively participate in demand-side management (DSM) with the mutual information communication between the distributor operation company and the smart devices in real-time. Controllable load management not only has the advantage of peak shaving, load balance, frequency regulation, and voltage stability, but is also effective at providing fast balancing services to the renewable energy grid in the distributed power system. The load management faces an enormous challenge as the customer has a large number of both small residential loads and dispersed renewable sources. In this paper, various controllable load management approaches are discussed. The traditional controllable load approaches such as the end users' controllable appliances, storage battery, Vehicle-to-Grid (V2G), and heat storage are reviewed. The "broad controllable loads" management, such as the microgrid, Virtual Power Plant (VPP), and the load aggregator are also presented. Furthermore, the load characteristics, control strategies, and control effectiveness are analyzed.

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Section: Hybrid System With Renewable Energymentioning

confidence: 99%

Section: Broad Controllable Loads Management and Effectiveness Analysismentioning

confidence: 99%

Controllable Load Management Approaches in Smart Grids

Shen

Jiang

2015

Energies

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“…Modern research in power electronics technology for the control of small wind turbines has confirmed that wind is a viable option for charging PHEVs. For example, several authors have suggested the integration of wind and PHEVs in the literature [14][15][16][17][18][19]. In [14], the authors have proposed wind energy for designing PHEVs charging station in the future.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of Wind-Assisted PHEVs Smart Charging Station

et al. 2019

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Two technology opportunities, integration of renewable energy sources and the electrification of vehicles are being encouraged to reduce dependency on fossil fuels and pollution problems. Nevertheless, the huge increase of plug-in hybrid electric vehicles (PHEVs) on roads will cause an additional load in demand, especially at rush hours, and therefore, threatens the stability of existing power grids. Considering PHEV stay for several hours in the workplace, (i.e., university), this may provide an inimitable framework to charge PHEV from wind in the workplace. This paper introduces the possibility of introducing intelligent control of wind power and battery storage units as supplementary power sources for future PHEV charging demands during rush hours. The operation of the proposed algorithm is based on the priority levels of PHEVs charging, and fluctuations in DC link voltage levels due to the variation in wind speed. The priorities of PHEVs charging are developed according to their power requirements, maximum rating of distribution transformer and park duration of PHEVs in the workplace during wind speed. Various non-isolated proportional–integral controllers and improved intelligent fuzzy control are used to keep a minimum critical DC link voltage to permit the power conditioning system to operate a charging station uninterruptedly, even at low wind speed. The improved intelligent fuzzy controller also contributes to minimizing the stress on the DC bus and ensures quality output power. The performance of the proposed charging station is verified for the real PHEV under real-world record of wind speed. All the energy sources, electric charging station and their controllers are designed in MATLAB/Simulink. Finally, the feasibility of proposed charging station is checked experimentally in the laboratory.

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“…Other studies have shown that EVs can be used as a suitable energy storage system to smooth he generated wind power and increase its flexibility to participate in the electricity market [1,11].…”

Section: Introductionmentioning

confidence: 99%