scholarly journals Coordinated Demand Response and Distributed Generation Management in Residential Smart Microgrids

Author(s):  
Amjad Anvari-Moghaddam ◽  
Ghassem Mokhtari ◽  
Josep M. Guerrero
2013 ◽  
Vol 380-384 ◽  
pp. 3217-3221
Author(s):  
Guo Qing Chen

Smart grid is a very important trend of power system. With the sharing of smart grid and micro-grid from the traditional power grid, the energy cost and the environmental degradation of power grid have reduced. This paper introduces a dynamic demand response and distributed generation management approach according to micro-smart grid of a residential area. This method has dynamic update mechanism, demand response automation operation and human intervention. Distributed management coordinates with demand response. For example, random load and wind power generation are used to reduce the cost of energy consumption of a residential area. This paper achieves the study of the demand of dynamic housing and the application of distributed generation management in micro-smart grid by the form of distributed generation management modeling. It introduces the specific distribution form of the distributed micro-smart grid taking the building of new rural micro smart grid for example. It also introduces the circuit schematic diagram of micro smart grid.


2015 ◽  
Vol 143 ◽  
pp. 26-37 ◽  
Author(s):  
Ozan Erdinc ◽  
Nikolaos G. Paterakis ◽  
Iliana N. Pappi ◽  
Anastasios G. Bakirtzis ◽  
João P.S. Catalão

2014 ◽  
Vol 5 (6) ◽  
pp. 2836-2845 ◽  
Author(s):  
Navid Rahbari-Asr ◽  
Unnati Ojha ◽  
Ziang Zhang ◽  
Mo-Yuen Chow

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1058 ◽  
Author(s):  
Giulio Ferro ◽  
Riccardo Minciardi ◽  
Luca Parodi ◽  
Michela Robba ◽  
Mansueto Rossi

The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.


Sign in / Sign up

Export Citation Format

Share Document