Impact of Correlated Distributed Generation on Information Aggregation in Smart Grid

2013 ◽  
Author(s):  
S. M. Shafiul Alam ◽  
Balasubramaniam Natarajan ◽  
Anil Pahwa
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Information Aggregation

Distributed Generation Units as Ancillary Services Providers in a Pre Smart Grid Environment

2015 ◽  
Vol 9 (1) ◽  
pp. 432-444
Author(s):  
Clainer Bravin Donadel ◽  
Jussara Farias Fardin ◽  
Lucas Frizera Encarnação
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Ancillary Services ◽  
Grid Environment

Smart Grid and Distributed Generation: A Panacea for Nigeria’s Power Problems

2019 ◽  
Author(s):  
Obianuju V. Chukwuorji ◽  
Bemdoo Saka ◽  
Ismail D. Inuwa ◽  
Suleiman U. Hussein ◽  
Sadiq Thomas ◽  
...  
Keyword(s):  
Smart Grid ◽  
Distributed Generation

Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid

2014 ◽  
Vol 5 (6) ◽  
pp. 2836-2845 ◽  
Author(s):  
Navid Rahbari-Asr ◽  
Unnati Ojha ◽  
Ziang Zhang ◽  
Mo-Yuen Chow
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Demand Response ◽  
Consensus Algorithm

scholarly journals Grid-Tied Distributed Generation Systems to Sustain the Smart Grid Transformation: Tariff Analysis and Generation Sharing

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1187 ◽  
Author(s):  
Fernando Yanine ◽  
Antonio Sánchez-Squella ◽  
Aldo Barrueto ◽  
Antonio Parejo ◽  
Felisa Cordova ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Storage ◽  
Smart Grid ◽  
Power Control ◽  
Energy Management ◽  
Distributed Generation ◽  
Electric Utility ◽  
Green Energy ◽  
Supply Capacity

In this paper a novel model is being proposed and considered by ENEL—the largest electric utility in Chile—and analyzed thoroughly, whereby electric power control and energy management for a 60-apartments’ residential building is presented as an example of the utility’s green energy program, part of its Smart Grid Transformation plan to install grid-tied distributed generation (DG) systems, namely microgrids, with solar generation and energy storage in Santiago, Chile. The particular tariffs scheme analysis shown is part of the overall projected tentative benefits of adopting the new scheme, which will require the utility’s customers to adapt their consumption behavior to the limited supply of renewable energy by changing energy consumption habits and schedules in a way that maximizes the capacity and efficiency of the grid-tied microgrid with energy storage. The change in behavior entails rescheduling power consumption to hours where the energy supply capacity in the DG system is higher and price is lower as well as curtailing their power needs in certain hourly blocks so as to maximize DG system’s efficiency and supply capacity. Nevertheless, the latter presents a problem under the perspective of ENEL’s renewable energy sources (RES) integration plan with the electric utility’s grid supply, which, up until now and due to current electric tariffs law, has not had a clear solution. Under said scenario, a set of strategies based on energy homeostasis principles for the coordination and control of the electricity supply versus customers’ demand has been devised and tested. These strategies which consider various scenarios to conform to grid flexibility requirements by ENEL, have been adapted for the specific needs of these types of customers while considering the particular infrastructure of the network. Thus, the microgrid adjusts itself to the grid in order to complement the grid supply while seeking to maximize green supply capacity and operational efficiency, wherein the different energy users and their energy consumption profiles play a crucial role as “active loads”, being able to respond and adapt to the needs of the grid-connected microgrid while enjoying economic benefits. Simulation results are presented under different tariff options, system’s capacity and energy storage alternatives, in order to compare the proposed strategies with the actual case of traditional grid’s electricity distribution service, where no green energy is present. The results show the advantage of the proposed tariffs scheme, along with power control and energy management strategies for the integration of distributed power generation within ENEL’s Smart Grid Transformation in Chile.

Distributed Generation Placement for Power Distribution Networks

2014 ◽  
Vol 24 (01) ◽  
pp. 1550009 ◽  
Author(s):  
Xiaodao Chen ◽  
Shiyan Hu
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Power Distribution ◽  
Power Loss ◽  
Distribution Systems ◽  
Optimization Technique ◽  
Electrical Power ◽  
Distribution Networks ◽  
Ocean Energy ◽  
Electrical Power System

Growing concerns on the energy crisis impose great challenges in development and deployment of the smart grid technologies into the existing electrical power system. A key enabling technology in smart grid is distributed generation, which refers to the technology that power generating sources are located in a highly distributed fashion and each customer is both a consumer and a producer for energy. An important optimization problem in distributed generation design is the insertion of distributed generators (DGs), which are often renewable resources exploiting e.g., photovoltaic, hydro, wind, ocean energy. In this paper, a new power loss filtering based sensitivity guided cross entropy (CE) algorithm is proposed for the distributed generator insertion problem. This algorithm is based on the advanced CE optimization technique which exploits the idea of importance sampling in performing optimization. Our experimental results demonstrate that on large distribution networks, our algorithm can largely reduce (up to 179.3%) power loss comparing to a state-of-the-art sensitivity guided greedy algorithm with small runtime overhead. In addition, our algorithm runs about 5× faster than the classical CE algorithm due to the integration of power loss filtering and sensitivity optimization. Moreover, all existing techniques only test on very small distribution systems (usually with < 50 nodes) while our experiments are performed on the distribution networks with up to 5000 nodes, which matches the realistic setup. These demonstrate the practicality of the proposed algorithm.

scholarly journals Impact of Distributed Generation on Smart Grid Transient Stability

2011 ◽  
Vol 02 (02) ◽  
pp. 99-109 ◽  
Author(s):  
Nur Asyik Hidayatullah ◽  
Zahir J. Paracha ◽  
Akhtar Kalam
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Transient Stability
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