IEEE Transactions on Industry Applications · 2014 · 220 citations · 24 references
Distributed Energy SystemElectrical EngineeringEngineeringSmart GridEnergy ManagementDecentralized Generation SystemsRenewable Energy StorageHome Energy StorageEnergy StorageRenewable Energy—ultracapacitorsEnergy Storage DeviceDistributed Energy GenerationEnergy Storage DevicesPower GenerationWind EnergyRenewable Energy SystemsDistributed EnergyPower Systems
High penetration of wind and PV generation requires fast‑response storage to cover sudden generation variations and random residential loads, and combining these sources with storage reduces power fluctuations. The study aims to estimate appropriate storage capacities without overflow and devise an energy‑management strategy to mitigate wind and load variation impacts. The authors employ a frequency‑based energy‑management scheme that shares wind/load power using polynomial controllers, and evaluate its performance through simulations and experiments with summer and winter load profiles. The method reduces battery and microgrid impacts of wind/load microcycles and enables estimation of storage capacity without overflow.
This paper presents the energy management for the decentralized generation systems (DGS) using the wind turbine with photovoltaic (PV) panels and the energy storage devices. For a high penetration level of the wind/PV generation, the energy storage device with a fast response is necessary to cover the shortfall or overflow of generation due to sudden variations of the wind or the sun. In addition, the requested energy by the residential appliances presents random behavior, which can be lower or higher than the produced energy from the renewable sources. Using the wind turbine and the PV power generation system with energy storage will reduce the fluctuations of the wind power and the load ones. The energy storage system requires capital investment; thus, it is important to estimate the reasonable storage capacities without an overflow size for the desired applications. In addition, a good strategy for energy management is necessary to reduce the variation impacts of the wind energy and the load for the battery and the residential appliances. The contribution of this paper is focused on energy management based on the frequency approach using the wind/load's fluctuating power sharing and the polynomial controllers. First, this method enables reducing for the battery and the microgrid the impacts of the microcycles due to the wind/load's power fluctuations. Second, it allows estimating the energy storage capacity without the overflow size. The performances of the proposed method are evaluated through some simulations and experimental tests using the summer load profile and the winter ones.
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Hristiyan Kanchev, Di Lu, Frédéric Colas et al. · IEEE Transactions on Industrial Electronics · 2011 · 975 citations · Full text
Distributed Energy System, Electrical Engineering, Operational Planning +13