One of the keys of enhancing the quality of electric power supply resides in the accuracy of the consumption metering. Nowadays development of the sensors, devices and systems for electricity metering offers the basis for this service. Nevertheless, this achievement in many situations is altered such that appropriate measures must be adopted even if already significant costs have been registered. In this paper is proposed and discussed an optimal solution based on the identification and minimizing the measurement errors for increasing the electricity readings accuracy and lowering the electricity losses and related costs. In this regard, a mathematical model was developed and a particular algorithm for the mentioned problem is proposed and tested in the case of a power distribution company where an enhancement on average of the own technological consumption with 4% was recorded.

Smart metering systems development and implementation in power distribution networks can be seen as an important factor that led to a major technological upgrade and one of the first steps in the transition to smart grids. Besides their main function of power consumption metering, as is demonstrated in this work, the extended implementation of smart metering can be used to support many other important functions in the electricity distribution grid. The present paper proposes a new solution that uses a frequency feature-based method of data time-series provided by the smart metering system to estimate the energy contour at distribution level with the aim of improving the quality of the electricity supply service, of reducing the operational costs and improving the quality of electricity measurement and billing services. The main benefit of this approach is determining future energy demand for optimal energy flow in the utility grid, with the main aims of the best long term energy production and acquisition planning, which lead to lowering energy acquisition costs, optimal capacity planning and real-time adaptation to the unpredicted internal or external electricity distribution branch grid demand changes. Additionally, a contribution to better energy production planning, which is a must for future power networks that benefit from an important renewable energy contribution, is intended. The proposed methodology is validated through a case study based on data supplied by a real power grid from a medium sized populated European region that has both economic usage of electricity—industrial or commercial—and household consumption. The analysis performed in the proposed case study reveals the possibility of accurate energy contour forecasting with an acceptable maximum error. Commonly, an error of 1% was obtained and in the case of the exceptional events considered, a maximum 15% error resulted.

Prosuming-promoted in UE countries by photovoltaic plants in private households for local electricity consumption, have significant growth rates. What is the path for the development of prosumers starting up 2019 in Romania? What are the major factors that have influenced national prosumer in UE between 1990-2018, support schemes, regulatory provisions, information and third-party markets, under conditions with different national policy factors? How policy shapes the role of residential PV prosumer paradigms? In Romania, investment in residential photovoltaic installations will be sustainable if there are government subsidies for local production and consumption and for isolated, non-electrical, hybrid solutions. The decision criteria will be influenced by four factors: technical, economic, environmental and socio-political. Reducing fees for approvals will be important factors in promoting renewable energy sources.

The main goal of the paper is focused on a nowadays important aspect of the power quality, namely the power supply service that can be improved through distributed monitoring by a complementary system based on current popular communication technologies such as mobile data communications. Mainly, the work proposes a method to enhance the functionality of an existing smart metering system on improving the power supply service through real-time monitoring and through additional signal processing in order to get information about the state of the power supply and eventually supplemental extended characterization on fault occurrences.