Power consumption management and control for peak load reduction in Smart Grids using UPFC

2011 ◽  
Author(s):  
M. R. Aghaebrahimi ◽  
M. Tourani ◽  
M. Amiri
Keyword(s):  
Power Consumption ◽  
Smart Grids ◽  
Peak Load ◽  
Load Reduction ◽  
And Control

scholarly journals Robust reserve capacity provision and peak load reduction from buildings in smart grids

2016 ◽  
Author(s):  
Sarmad Hanif ◽  
Dante Fernando Recalde Melo ◽  
Mehdi Maasoumy ◽  
Tobias Massier ◽  
Thomas Hamacher ◽  
...  
Keyword(s):  
Smart Grids ◽  
Peak Load ◽  
Reserve Capacity ◽  
Load Reduction

scholarly journals Distributed multi-objective scheduling of power consumption for smart buildings

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Marvin Nebel-Wenner ◽  
Christian Reinhold ◽  
Farina Wille ◽  
Astrid Nieße ◽  
Michael Sonnenschein
Keyword(s):  
Power Consumption ◽  
Smart Grids ◽  
Residential Buildings ◽  
Cost Optimization ◽  
Peak Load ◽  
Load Management ◽  
Management Technique ◽  
Smart Buildings ◽  
Multi Objective ◽  
The Cost

Abstract Load management of electrical devices in residential buildings can be applied with different goals in the power grid, such as the cost optimization regarding variable electricity prices, peak load reduction or the minimization of behavioral efforts for users due to load shifting. A cooperative multi-objective optimization of consumers and generators of power has the potential to solve the simultaneity problem of power consumption and optimize the power supply from the superposed grid regarding different goals. In this paper, we present a multi-criteria extension of a distributed cooperative load management technique in smart grids based on a multi-agent framework. As a data basis, we use feasible power consumption and production schedules of buildings, which have been derived from simulations of a building model and have already been optimized with regard to self-consumption. We show that the flexibilities of smart buildings can be used to pursue different targets and display the advantage of integrating various goals into one optimization process.

scholarly journals Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids

2015 ◽  
Vol 6 (6) ◽  
pp. 3029-3041 ◽  
Author(s):  
Naveed Ul Hassan ◽  
Yawar I. Khalid ◽  
Chau Yuen ◽  
Wayes Tushar
Keyword(s):  
Smart Grids ◽  
Peak Load ◽  
Customer Engagement ◽  
Load Reduction

scholarly journals Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

2021 ◽  
Author(s):  
Chethan Parthasarathy ◽  
Hossein Hafezi ◽  
Hannu Laaksonen
Keyword(s):  
Smart Grid ◽  
Network Management ◽  
Smart Grids ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Active Network ◽  
Li Ion ◽  
Grid Side ◽  
And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

A POWER CONSUMPTION ACTIVITY BASED HETEROGENEOUS SOA FRAMEWORK FOR CONTEXT-AWARE HOME SERVICES

2011 ◽  
Vol 20 (07) ◽  
pp. 1211-1230 ◽  
Author(s):  
HYUN SANG CHO ◽  
TAKEKAZU KATO ◽  
TATSUYA YAMAZAKI ◽  
MINSOO HAHN
Keyword(s):  
Web Services ◽  
Power Consumption ◽  
Service Oriented Architecture ◽  
Control Function ◽  
Home Network ◽  
Network System ◽  
Context Aware ◽  
Flexible Architecture ◽  
And Control ◽  
Monitor And Control

The home network is one of the emerging areas from the last century. However, the growth of the home network market is stationary at present. This paper describes the limitations of the home network system and the requirements for overcoming the current limitations. Also described is a new home network service system known as COWS and its easy installation and scalable operation. COWS consists of power consumption monitor and control devices along with a service server that is a complementary combination of Open Service Gateway initiative (OSGi) and web services. A home network system has a dynamic, heterogeneous, distributed, and scalable topology. Service Oriented Architecture (SOA) has been proposed as a solution that satisfies the requirement of a home network, and OSGi and web services are two successful SOA-based frameworks. An included service server has a flexible architecture that consists of a core and extendable service packages. A power consumption monitor and control function provides useful context information for activity-based context-aware services and optimizes the power consumption. The system can be installed easily into existing and new houses to solve the current barrier of the popularization of home network services.

Peak Load Reduction in a Smart Building Integrating Microgrid and V2B-Based Demand Response Scheme

2019 ◽  
Vol 13 (3) ◽  
pp. 3274-3282 ◽  
Author(s):  
Hanane Dagdougui ◽  
Ahmed Ouammi ◽  
Louis A. Dessaint
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Load Reduction ◽  
Smart Building ◽  
Response Scheme
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