Nowadays grid connected renewable energy sources have reached a level that was not even conceiv-able just few years ago with serious concerns on power systems’ stability and security. The Italian TSOand the Italian regulatory authority for electricity, gas and water system (AEEGSI) pioneered this field,and imposed the participation of distributed generation (DG) into voltage and frequency regulation forreducing the risk of loosing significant power generation during frequency transients. Smart grids arethe next step towards DG integration. In 2010, the AEEGSI demonstration phase on smart grids wasdesigned according to an input based incentive scheme and a competitive selection process in order toaward a limited number of projects. According to AEEGSI resolution ARG/elt 39/10, the selected smartgrid demonstration projects did benefit from an extra remuneration of capital cost (a 2% extra WACC inaddition to the ordinary return) for a period of 12 years. All projects are now in the rollout phase andthe first data are going to be collected from the field in a real world environment. This paper gives abrief description of the projects and adds information about the selection criteria that allowed identify-ing what are the benefits that the system stakeholders should expect by the innovation of distributionoperation and planning. Furthermore, the procedure used to define a regulatory environment suited forsmart grids is described. The main idea is to define the fundamentals of a fair and transparent regulationmechanism based on different levels of smartness and on the identification of some suitable indicatorsthat allow the AEEGSI to establish the expected performances of novel smart grids and, consequently, todefine penalties and/or rewards for DSOs. With the aid of some examples the role of indicators is showed.Finally, it must be remarked again that the SG projects are in progress and field data are not yetdisposable. This is the reason why the numerical simulations reported in this paper have been developedon a reference network that can represent the behaviour of some of the real SG networks relevant tothe projects; such simulations have been performed in order to better quantify the benefits that thestakeholders of the system should expect. When the projects will enter the operation phase the field datacollected after the new operational approach will be collected and can be used to verify the simulationshypothesis assumed.

The Italian smart grid pilot projects: Selection and assessment of the test beds for the regulation of smart electricity distribution

PILO, FABRIZIO GIULIO LUCA;PISANO, GIUDITTA;SOMA, GIAN GIUSEPPE;
2015

Abstract

Nowadays grid connected renewable energy sources have reached a level that was not even conceiv-able just few years ago with serious concerns on power systems’ stability and security. The Italian TSOand the Italian regulatory authority for electricity, gas and water system (AEEGSI) pioneered this field,and imposed the participation of distributed generation (DG) into voltage and frequency regulation forreducing the risk of loosing significant power generation during frequency transients. Smart grids arethe next step towards DG integration. In 2010, the AEEGSI demonstration phase on smart grids wasdesigned according to an input based incentive scheme and a competitive selection process in order toaward a limited number of projects. According to AEEGSI resolution ARG/elt 39/10, the selected smartgrid demonstration projects did benefit from an extra remuneration of capital cost (a 2% extra WACC inaddition to the ordinary return) for a period of 12 years. All projects are now in the rollout phase andthe first data are going to be collected from the field in a real world environment. This paper gives abrief description of the projects and adds information about the selection criteria that allowed identify-ing what are the benefits that the system stakeholders should expect by the innovation of distributionoperation and planning. Furthermore, the procedure used to define a regulatory environment suited forsmart grids is described. The main idea is to define the fundamentals of a fair and transparent regulationmechanism based on different levels of smartness and on the identification of some suitable indicatorsthat allow the AEEGSI to establish the expected performances of novel smart grids and, consequently, todefine penalties and/or rewards for DSOs. With the aid of some examples the role of indicators is showed.Finally, it must be remarked again that the SG projects are in progress and field data are not yetdisposable. This is the reason why the numerical simulations reported in this paper have been developedon a reference network that can represent the behaviour of some of the real SG networks relevant tothe projects; such simulations have been performed in order to better quantify the benefits that thestakeholders of the system should expect. When the projects will enter the operation phase the field datacollected after the new operational approach will be collected and can be used to verify the simulationshypothesis assumed.
demonstrations; distributed power generation; electric utilities; equipment testing; laws and legislation; mobile telecommunication systems; renewable energy resources; demonstration project; distribution planning; electricity distribution; real world environments; regulatory frameworks; renewable energy source; selection and assessments; smart grid
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/85085
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