scholarly journals Photovoltaic Integration in Smart City Power Distribution - A Probabilistic Photovoltaic Hosting Capacity Assessment based on Smart Metering Data

Author(s):  
Vasiliki Klonari ◽  
Jean-François Toubeau ◽  
Jacques Lobry ◽  
Francois Vallee
2021 ◽  
Vol 13 (15) ◽  
pp. 8487
Author(s):  
Evangelos K. Markakis ◽  
Yannis Nikoloudakis ◽  
Kalliopi Lapidaki ◽  
Konstantinos Fiorentzis ◽  
Emmanuel Karapidakis

The current energy landscape is largely comprised of big stakeholders, who are often the monopolistic drivers of their local market. This fact does not leave any room for smaller players to participate in this procedure by contributing their part in the energy pool. Moreover, the dynamic demand for power along with the current power production rate are not corelated, rendering the power distribution grid, a best effort network, prone to power failures, due to the inevitable irregularities in demand. This paper introduces a novel concept that allows small energy producers, such as solar panel grids, to offer their production excess through an intelligent energy brokerage blockchain-based framework. The proposed framework ingests the vast amounts of bigdata stemming from the distributed smart energy grids smart metering and allows for automatic commercial transactions of power between the participants of a dedicated marketplace. Values dynamically fluctuate depending on the real-time offer and demand and the grid’s state. Thus, all partaking stakeholders are able to take the most out of their product by leveraging the intelligence provided by the energy marketplace, and contribute to the overall stabilization of the energy grid.


Author(s):  
Fatma Zohra Dekhandji

Pricing policy is one of the tools allowing the involvement of customers in the balance between the supply and the demand in smart grids. The present chapter aims at presenting the smart metering action including the bidirectional measurement of energy for smart houses equipped with renewable energies as well as the way a smart meter communicates data at the required timing to and from the control center. A typical bill establishment explaining how the net billing is produced along with a discussion about different pricing policies that the utility may adopt to reduce the peak load demand is also presented. The work is concluded by a typical simulation of a smart city modeled in LABVIEW software.


2022 ◽  
pp. 1170-1191
Author(s):  
Fatma Zohra Dekhandji

Pricing policy is one of the tools allowing the involvement of customers in the balance between the supply and the demand in smart grids. The present chapter aims at presenting the smart metering action including the bidirectional measurement of energy for smart houses equipped with renewable energies as well as the way a smart meter communicates data at the required timing to and from the control center. A typical bill establishment explaining how the net billing is produced along with a discussion about different pricing policies that the utility may adopt to reduce the peak load demand is also presented. The work is concluded by a typical simulation of a smart city modeled in LABVIEW software.


Author(s):  
Ivan Ramljak ◽  
Drago Bago

In last period many distribution system operators (DSO) invest significant amount of money in smart metering system. Those investments are in part due to regulatory obligations and in part due to needs of DSO (utilities) for knowledge about electric energy consumption. Term electric energy consumption refers not only on real consumption of electric energy but also on data about peak power, unbalance, voltage profiles, power losses etc. Data which DSO can have depends on type of smart metering system. Further, smart meters as source of data can be implemented in transformer stations (TS) MV/LV and in LV grid at consumer level. Generally, smart meters can be placed in any node of distribution grid. As amount of smart meters is greater, the possibility of data analysis is greater. In this paper a smart metering system of J.P Elektroprivreda HZ HB d.d, Mostar, Bosnia and Herzegovina will be presented. One statistical approach for analyzing of advanced metering data of TS MV/LV will be presented. Statistical approach presented here is powerful tool for analyzing great amount of data from distribution grid in simple way. Main contribution of this paper is in using results obtained from statistical analysis of smart meter data in distribution grid analyzing and in maintenance/investment planning.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2947
Author(s):  
Ilie Vlasa ◽  
Adrian Gligor ◽  
Cristian-Dragos Dumitru ◽  
Laszlo Barna Iantovics

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.


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