Demand side management platform for HAN flexibility estimation with agent control

Obushevs, Artjoms; Oļeiņikova, Irina; Mutule, Anna

doi:10.1109/eem.2016.7521185

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…Due to high volatility of local demand in LVDG and uncertain availability during time, using flexible loads for the local VC does not seem to be a reliable solution according to [23] and Figure 6. The measurements represent the small office active power consumption behaviour per month with pronounced consumption per working days and weekends without PV generation.…”

Section: E Vc With Demand Side Managementmentioning

confidence: 99%

Investigation of Local Voltage Control Solutions for the Integration of Renewable Power Sources into the Low-Voltage Networks

Obushevs

Carigiet

Baumgartner

et al. 2020

2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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This paper is devoted to the problem of voltage limits violations in low-voltage networks with high share of renewable power sources and provides a vision and comparison of different technologies based on their advantages and disadvantages and classification of technical methods for performing cost effective control in the various distribution grids categories. It was carried out based on the proposed methodology, which covers a wide range of technical solutions, to have a clear comparative analysis between different solutions. Technical and economical comparison between the results gained from the load flow calculations in Matpower and the additional functionalities provided from the OpenDSS were used to classify smart grid solutions for various low voltage distribution grids categories and to generate the ranking matrix.

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Section: E Vc With Demand Side Managementmentioning

confidence: 99%

Investigation of Local Voltage Control Solutions for the Integration of Renewable Power Sources into the Low-Voltage Networks

Obushevs

Carigiet

Baumgartner

et al. 2020

2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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“…The IPE pilot technology was used for energy consumption data accumulation and analysis. The technology has an aggregation capability and is aimed to optimize electricity consumption, reduce electricity bills for consumers and improve energy efficiency [9].…”

Section: Electricity Consumption Aggregation and Managementmentioning

confidence: 99%

Energy Management Modelling Under Real-time Approach

Oļeiņikova

Mutule

Zikmanis

et al. 2019

2019 IEEE Milan PowerTech

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The paper describes modelling, design and testing of the developed Energy Management Strategy (EMS) system simulation model. The project was carried out by NTNU and IPE contributing to CloudGrid, with the aim to develop a new real-time simulation model with price-based Demand Response (DR) program for future implementation as consumer flexibility tool. Real load data were used as the basis of the model that was tested in Real-time Simulator in Norwegian National Smart Grid Laboratory at NTNU, with an algorithm and measurements provided from IPE member side.

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“…Homes, Neighbourhoods and Urban Areas (Home Area Network HAN, Neighbourhood Network Area NAN and Wide Area Network WAN), must have its own communication standard and also be able to communicate and interoperate with each other [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Towards a Home Energy Management Model Through a Coordinator of Smart Sockets

Ulloa

García-Santander

Carrizo

et al. 2018

Latvian Journal of Physics and Technical Sciences

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The efficient use of energy and its implementation in domestic automation systems is an essential requirement in Smart Cities. However, this requires appropriate measurement devices and an M2M control-communication alternative that offers real-time visualization of the information. This article proposes a prototype of the home electric power consumption management platform, as an advance in generating a model for future Smart Grid. Therefore, the research implements smart socket devices and a coordinator of the communication of a home area network between these measuring devices to have an intelligent control of electric power. As a result, real-time data of the defined electrical parameters have been obtained. This information has been stored in the Internet cloud, also allowing remotely programming and controlling these measurement devices. The present research contributes to generating a profile of total load consumption for residential users and allowing them to know and compare their real consumption with what was reported by the distributors.

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Demand side management platform for HAN flexibility estimation with agent control

Cited by 7 publications

References 8 publications

Investigation of Local Voltage Control Solutions for the Integration of Renewable Power Sources into the Low-Voltage Networks

Investigation of Local Voltage Control Solutions for the Integration of Renewable Power Sources into the Low-Voltage Networks

Energy Management Modelling Under Real-time Approach

Towards a Home Energy Management Model Through a Coordinator of Smart Sockets

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