Improving the network infeed accuracy of non-dispatchable generators with energy storage devices

Dynamic sizing of energy storage for hedging wind power forecast uncertainty

“…This last point is unfortunately often not appropriately considered in studies focusing on wind/ESS operation and sizing, e.g. [6]. In parallel, assumptions on probabilistic distributions of potential wind power generation (like Gaussianity for instance in [4]) are highly unrealistic even though attractive in terms of reducing problem complexity.…”

“…Therefore ideally, a market participant using a wind/EES should slightly reduce his bid from the wind power point forecasts in order to ensure there will be more energy stored than released, which in terms of positive and negative imbalances would result in even volumes. In order to assess the economic feasibility of the methodology, the operation of the combined wind/EES plant for the 1 year is simulated, for 20 possibilities for EES sizing: (1) no storage, (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) dynamic EES sizing based on the 17 quantiles rising from 15% to 95%, thus for risk parameters going from 5% till 85%, with 5% increment, and the 99% quantile (α = 1%, very low risk exposure), (20) infinite storage 4 . Each of these scenarios corresponds to a different strategy that the wind producer may follow for hedging wind power forecast uncertainty.…”

PV self-consumption optimization with storage and Active DSM for the residential sector

“…However, the currently technological and energy situation encourages the investment in storage systems, mainly because of the increase of the renewable energies presence in the energy-mix (Foidart et al, 2010) and the strong hourly mismatch between the demand and generation pattern (Lior, 1997;Wagner, 1997). An example of using storage systems with renewable energy is to improve the grid in-feed accuracy (Koeppel and Korpas, 2008). The work presented by Denholm and Margolis (2007) concludes that the use of load shifting and electrical energy storage is needed to achieve PV high penetration levels.…”

Optimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producer

“…Additionally, to obtain the errors in an area with many wind farms, a correlation function based on the distance between the different wind farms is used. In [3], a function that estimates the possible errors is proposed. It uses the time horizon as the only predictor variable, based on the average of different methods to predict the errors in wind production.…”