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Abstract Photovoltaic (PV) power optimizers are introduced in PV systems to improve their energetic productivity in presence of mismatching phenomena and not uniform operating conditions. Commercially available converters are characterized by different DC-DC topologies. A promising one is the boost topology with its different versions. It is characterized by its circuital simplicity, few devices and high efficiency values - necessary features for a Distributed Maximum Power Point Tracking (DMPPT) converter. PV power optimizer designs represent a challenging task since they operate in continuously changing operating conditions which strongly influence electronic component properties and thus the performance of complete converters. An aspect to carefully analyze in such applications is the thermal factor. In this paper, a necessity to have a suitable temperature monitoring system to avoid dangerous conditions is underlined In addition, another important requirement for a PV power optimizer is its reliability, since it can suggest a useful information on its diagnostic aspects, maintenance and investments. In fact, a reliable device requires less maintenance services, also improving the economic aspect. The evaluation of the electronic system reliability can be carried out using different reliability prediction models. In this paper, reliability indices, such as the Mean Time Between Failure (MTBF) or the Failure Rate of a Diode Rectification (DR) boost, are calculated using the evaluation of the Military Handbook 217F and Siemens SN29500 prediction models. With the reliability prediction results it has been possible to identify the most critical components of a DMPPT converter and a measurement setup has been developed in order to monitor the component stress level on the temperature, power, voltage, current, and energy in the DMPPT design phase avoiding the occurrence of a failure that might decrease the service life of the equipment.

This paper investigates the regulatory rules of market transparency which could be applied within the wholesale electricity market and market for frequency and voltage control in the Web-of-Cells (WoC) decentralized power control architecture, which has been developed in the ELECTRA Project to respond the challenges and needs of the future power system (2030+). In this decentralized functional architecture for frequency and voltage control, the European Union (EU) power grid is divided into grid control areas, i.e., cells, which are defined as portions of the grid having adequate monitoring infrastructure and local reserves capacity, allowing voltage and balancing (frequency) problems to be solved at cell level, under the responsibility of a Cell System Operator (CSO) (present Distribution System Operator (DSO)/Transmission System Operator (TSO)). In order to foster the practical realization of the WoC-based architecture, the related wholesale electricity market and market for frequency and voltage control are proposed considering the competitive market principles, including transparency. The critical review of the existing EU regulations dealing with this issue suggests respecting the valid provisions on market transparency while tailoring them into the WoC-based architecture. Moreover, in order to take into account the WoC peculiarities, a set of integrations to the current regulatory rules is also proposed, addressing: (1) disclosure of information in respect to attributes of emerging technologies such as renewable energy sources (RES), distributed energy resources (DER), storage; (2) provision of generation and load forecast information; (3) process of procurement of flexibilities; (4) retail market transparency; (5) disclosure of privacy-sensitive household attributes; and (6) disclosure of information on market for frequency and voltage control. ; publishedVersion ; © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).