22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013) 2013
DOI: 10.1049/cp.2013.1156
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Evaluation of ancillary services provision capabilities from distributed energy supply

Abstract: In April 2012, a consortium of 12 partners started the REserviceS project aiming at establishing reference guidance for the development of European network codes and electricity market design with large share of variable renewables. One step in achieving this goal is to investigate the capabilities and availability of ancillary services provision from distributed generation (DG) under different scenarios, to assess these capabilities under different grid conditions and to also perform the related economic asse… Show more

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Cited by 3 publications
(6 citation statements)
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“…This approach is suitable for real-time network operation, based on instantaneous measurements of loads and available powers. On the other hand, solar irradiance forecasting errors must be taken into account when OID is utilized for ancillary-services procurement, in either day-ahead or hour-ahead ancillary service markets [5], [6]. In this case, system operators cannot rely on the expected value of the active power available from the PV array to quantify the amount of ancillary services to provision.…”
Section: Inverter Dispatch Under Forecasting Errorsmentioning
confidence: 99%
See 3 more Smart Citations
“…This approach is suitable for real-time network operation, based on instantaneous measurements of loads and available powers. On the other hand, solar irradiance forecasting errors must be taken into account when OID is utilized for ancillary-services procurement, in either day-ahead or hour-ahead ancillary service markets [5], [6]. In this case, system operators cannot rely on the expected value of the active power available from the PV array to quantify the amount of ancillary services to provision.…”
Section: Inverter Dispatch Under Forecasting Errorsmentioning
confidence: 99%
“…To solve the OID problem, the distribution network operator requires: i) the Monte Carlo samples {p av [s] ∈ D} S s=1 , based on the distribution of the solar irradiation error [15]; ii) the network admittance matrix Y; ii) the probability level β; the ratings {S h }; and, v) the weighting coefficients c L , c P , c z , c R , which may be driven by ancillary service market strategies [5], [6] and/or security-oriented objectives. The optimization package CVX 3 is employed to solve the OID problem in MATLAB.…”
Section: Case Studiesmentioning
confidence: 99%
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“…The number and type of available generators depend on the regulatory framework (for example all generators above a given size should provide certain network services), on the technical characteristics of the generators (PV are different from thermal units), and on the necessity of the network [3].…”
Section: Regulation Resourcesmentioning
confidence: 99%