Optimal Energy Management for Smart Grid System Considering Battery Characteristics

2015 ◽  
Vol 194 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Tatsuya Mukai ◽  
Shunsuke Igari ◽  
Toru Namerikawa
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Grid System ◽  
Optimal Energy ◽  
Optimal Energy Management ◽  
Smart Grid System

scholarly journals Energy management for the industrial sector in smart grid system

2020 ◽  
Vol 6 ◽  
pp. 1432-1442
Author(s):  
Amam Hossain Bagdadee ◽  
Muhammad Aurangzeb ◽  
Sajid Ali ◽  
Li Zhang
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Industrial Sector ◽  
Grid System ◽  
Smart Grid System

Optimal Energy Management for a Smart Grid using Resource-Aware Utility Maximization

2016 ◽  
Vol 17 (3) ◽  
pp. 251-266
Author(s):  
Brook W. Abegaz ◽  
Satish M. Mahajan ◽  
Ebisa O. Negeri
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Resource Utilization ◽  
Utility Maximization ◽  
Energy Resource ◽  
Optimal Energy ◽  
Central Controller ◽  
Optimal Energy Management ◽  
Energy Community ◽  
Resource Aware

Abstract Heterogeneous energy prosumers are aggregated to form a smart grid based energy community managed by a central controller which could maximize their collective energy resource utilization. Using the central controller and distributed energy management systems, various mechanisms that harness the power profile of the energy community are developed for optimal, multi-objective energy management. The proposed mechanisms include resource-aware, multi-variable energy utility maximization objectives, namely: (1) maximizing the net green energy utilization, (2) maximizing the prosumers’ level of comfortable, high quality power usage, and (3) maximizing the economic dispatch of energy storage units that minimize the net energy cost of the energy community. Moreover, an optimal energy management solution that combines the three objectives has been implemented by developing novel techniques of optimally flexible (un)certainty projection and appliance based pricing decomposition in an IBM ILOG CPLEX studio. A real-world, per-minute data from an energy community consisting of forty prosumers in Amsterdam, Netherlands is used. Results show that each of the proposed mechanisms yields significant increases in the aggregate energy resource utilization and welfare of prosumers as compared to traditional peak-power reduction methods. Furthermore, the multi-objective, resource-aware utility maximization approach leads to an optimal energy equilibrium and provides a sustainable energy management solution as verified by the Lagrangian method. The proposed resource-aware mechanisms could directly benefit emerging energy communities in the world to attain their energy resource utilization targets.

scholarly journals 5 Home Energy Management within Smart Grid via WSN

2012 ◽  
Vol 1 (1) ◽  
pp. 4
Author(s):  
Pooja Rajput ◽  
Kiran Rajput ◽  
Muhammad Zakir Shaikh ◽  
B. S. Chowdhry ◽  
M. Aamir
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Home Automation ◽  
Grid System ◽  
Energy Usage ◽  
Cost Of Energy ◽  
Home Energy Management ◽  
Smart Grid System ◽  
The Cost ◽  
At Home

This paper presents a framework for a home automation scenario within a Smart Grid System. The framework is designed to schedule appliances at less expensive hours to decrease the cost of energy usage at home. The important factor of comfort degradation is also addressed using proposed framework. The framework consists of a Wireless Automatic Metering System that helps in solving various issues of electricity expenses and provides the user with information such as different schemes and tariff packages. Through the proposed framework for home automation, the user will be able to control and reduce the energy expenses using an interactive GUI.

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