Dynamic network tariffs: Are they the most efficient way to match peak consumption and network incremental costs?

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Pires, G (Author) Other; Pinto, RB (Author) Other; João Tomé Saraiva (Author) FEUP; Fidalgo, JN (Author) Other; Nunes, JF (Author) Other

Conference proceedings International

Title: CIRED Workshop 2016

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00N-9S1

DOI: 10.1049/cp.2016.0814

Abstract (EN): The purpose of this paper is to present the main results of the ongoing analysis of applying dynamic network access tariffs in Portugal. For the 2015-2017 regulatory period, the Portuguese National Regulatory Authority, ERSE, required the three main Portuguese DSOs to submit, until the end of June 2016, plans for the implementation of network dynamic tariff schemes targeting Medium, High and Extra High Voltage customers, as well as the respective cost-benefit analysis. EDP Distribuição, the main Portuguese DSO, is preparing a report regarding the implementation of pilot projects on a sample of these segments of customers, which are due to be on the field during 2017. These pilots should help electrical energy stakeholders understand how the Electric System can benefit from the use of dynamic tariffs focused on networks, allowing for the quantification of benefits in a more accurate way. The level of demand response that results from price signals is a key issue that both the regulator and EDP Distribuição will quantify. Other important issue to assess in this study is the efficiency of cost recovery under a dynamic tariff scheme. In conclusion, this paper will present some results obtained from the cost-benefit analysis regarding the implementation of a Critical Peak Pricing scheme, as well as the key learnings supporting the introduction of dynamic schemes in the future, not only for EHV, HV and MV customers but also eventually extending it to LV ones.

Language: English

Type (Professor's evaluation): Scientific