Why Smart Meters And Real Time Prices Are Not The Solution

2018 ◽  
Author(s):  
Florian Kühnlenz
Keyword(s):  
Real Time ◽  
Smart Meters

scholarly journals Online Learning Algorithms for the Real-Time Set-Point Tracking Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6620
Author(s):  
Arman Alahyari ◽  
David Pozo ◽  
Meisam Farrokhifar
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
Real Time ◽  
Demand Response ◽  
Tracking Problem ◽  
Smart Meters ◽  
Set Point ◽  
Point Tracking ◽  
Power Set ◽  
Decision Making Framework

With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household applications with the utilization of smart meters and mobile devices. In this paper, we address the power set-point tracking problem for an aggregator that participates in a real-time ancillary program. Fast communication of data and control signal is possible, and the end-user side can exploit the provided signals through demand response programs benefiting both customers and the power grid. However, the existing optimization approaches rely on heavy computation and future parameter predictions, making them ineffective regarding real-time decision-making. As an alternative to the fixed control rules and offline optimization models, we propose the use of an online optimization decision-making framework for the power set-point tracking problem. For the introduced decision-making framework, two types of online algorithms are investigated with and without projections. The former is based on the standard online gradient descent (OGD) algorithm, while the latter is based on the Online Frank–Wolfe (OFW) algorithm. The results demonstrated that both algorithms could achieve sub-linear regret where the OGD approach reached approximately 2.4-times lower average losses. However, the OFW-based demand response algorithm performed up to twenty-nine percent faster when the number of loads increased for each round of optimization.

Blackout Avoidance and Energy Saving Services with Alert Aggregation

2012 ◽  
Vol 3 (4) ◽  
pp. 40-56
Author(s):  
Erica Fong ◽  
Dickson K.W. Chiu ◽  
Haiyang Hu ◽  
Yi Zhuang ◽  
Hua Hu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Real Time ◽  
Mobile Devices ◽  
Critical Energy ◽  
The Internet ◽  
Monitor System ◽  
Energy Usage ◽  
Huge Number ◽  
Smart Meters

Peak electricity demands from huge number of households in a mega-city would cause contention, leading to potential blackout. This paper proposes bi-directional collaboration via a Smart Energy Monitor System (SEMS) between consumers and energy suppliers, exchanging real-time energy usage data with smart meters over the Internet and mobile devices for well-informed decisions and even predictions. The authors further propose the use of an Alert Management System (AMS) to monitor and aggregate critical energy consumption events for this purpose.

scholarly journals Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 857 ◽  
Author(s):  
Mihai Sanduleac ◽  
Gianluca Lipari ◽  
Antonello Monti ◽  
Artemis Voulkidis ◽  
Gianluca Zanetto ◽  
...  
Keyword(s):  
Real Time ◽  
Next Generation ◽  
Grid Data ◽  
Smart Meters

scholarly journals Electricity Usage Scheduling in Smart Building Environments Using Smart Devices

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Eunji Lee ◽  
Hyokyung Bahn
Keyword(s):  
Real Time ◽  
Time Budget ◽  
Scheduling Algorithm ◽  
Smart Devices ◽  
Smart Device ◽  
Peak Time ◽  
Search Problem ◽  
Scheduling Problem ◽  
Smart Meters ◽  
Smart Building

With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new electricity usage scheduling algorithm for smart buildings that adopts real-time pricing of electricity. The proposed algorithm detects the change of electricity prices by making use of a smart device and changes the power mode of each electric device dynamically. Specifically, we formulate the electricity usage scheduling problem as a real-time task scheduling problem and show that it is a complex search problem that has an exponential time complexity. An efficient heuristic based on genetic algorithms is performed on a smart device to cut down the huge searching space and find a reasonable schedule within a feasible time budget. Experimental results with various building conditions show that the proposed algorithm reduces the electricity charge of a smart building by 25.6% on average and up to 33.4%.

scholarly journals The Role of Smart Meters in Enabling Real-Time Energy Services for Households: The Italian Case

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 199 ◽  
Author(s):  
Alessandro Pitì ◽  
Giacomo Verticale ◽  
Cristina Rottondi ◽  
Antonio Capone ◽  
Luca Lo Schiavo
Keyword(s):  
Real Time ◽  
Smart Meters ◽  
Energy Services ◽  
Italian Case

scholarly journals Exploring the Privacy Issues of Smart-Grid Infrastructure – A Network Security Perspective

2019 ◽  
pp. 165-169
Keyword(s):  
Network Security ◽  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Data Communication ◽  
Grid Infrastructure ◽  
Smart Meters ◽  
Holistic View ◽  
The Public ◽  
Public Networks

The proposed smart grid infrastructure aims to make use of the existing public networks such as internet for data communication between consumer premises to the public power utility network. The smart-grid adopts smart-meters which basically collect vast amount of data to provide a holistic view of the connected load behavior and preferences pattern related to power and water consumption. The smart-grids provide benefits to the utilities and consumers alike. For utilities the benefits are real time data collection, ease of power management, and reduced personnel requirement. The benefits for the users on the other hand include availability of real time usage data, providing information on ways to minimize power consumption, monetary savings and so on. Since, the smart-grid uses existing public networks the utilities do not have the burden of installing any new infrastructure (except for installing the smart-meters), thus an added advantage. But, the downside of using the public network is susceptibility to a variety of network attacks, if not guarded well against. This paper talks about the various network security vulnerabilities that exist and the measures to patch the same before employing in the smart grid networks.

Real-time smart meters network for energy management

ACTA IMEKO ◽  
2013 ◽  
Vol 2 (1) ◽  
pp. 40 ◽  
Author(s):  
Giuseppe Del Prete ◽  
Daniele Gallo ◽  
Carmine Landi ◽  
Mario Luiso
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Energy Use ◽  
Low Cost ◽  
Quality Parameters ◽  
Smart Meters ◽  
Authentication Code ◽  
Customer Data ◽  
The Web

In this paper, an architecture of a low-cost ARM-based Smart Metering network is presented. The system is designed to be suitable for Smart Grids applications aimed to a more efficient energy use according to the article 13 of Directive 2006/32/EC. The network is composed by several slave smart meters that continuously monitor loads and energy generators to make available information in real-time such as power and energy consumption/generation and several power quality parameters communicating them via CAN bus to specific master device called data aggregator. This device, integrating the information coming from field devices (energy demands of loads, the current energy production and co-generator status), with information obtained through the web access (a prevision on the expected availability of energy produced by renewable sources, current and future energy price, customer remote setting), can take decisions to implement a suitable energy management aimed to cost saving or whatever else strategy chosen by customer. Data aggregator also allows checking current consumption locally, thanks to a display, and remotely, using the web browser access. To prevent external attacks a low computational burden protection software based on Message Authentication Code (MAC) has been implemented. Finally, characterization test of realized apparatus have shown good performance both in terms of communication delays and measurement uncertainty.

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