Real-Time Generation Dispatch and Communication Architecture of Smart Grid with Renewable Energy

2013 ◽  
Vol 8 (8) ◽  
pp. 497-504 ◽  
Author(s):  
Qiushi Xu ◽  
Changhong Deng ◽  
Lei Chen
Author(s):  
Nawal Ait Aali ◽  
Amine Baina ◽  
Loubna Echabbi

Currently, smart grids have changed the world, given the great benefits of these critical infrastructures regarding the customers' satisfaction by offering them the electrical energy that they need for their business. Also, the smart grid aims to solve all the problems encountered in the current electrical grid (outage, lack of renewable energy, an excess in the produced power, etc.) by transmitting and sharing the information in real time between the different entities through the installation of the sensors. This chapter therefore presents the architecture of the smart grid by describing its objectives and advantages. In addition, the microgrids are presented as small electric networks. Then, focusing on the security aspects, an analysis of the different attacks and risks faced in the smart grids and more particularly in the microgrids is presented. After, different techniques and suitable security solutions are detailed to protect and secure the various elements of the smart grids and microgrids.


2022 ◽  
pp. 1317-1334
Author(s):  
Nawal Ait Aali ◽  
Amine Baina ◽  
Loubna Echabbi

Currently, smart grids have changed the world, given the great benefits of these critical infrastructures regarding the customers' satisfaction by offering them the electrical energy that they need for their business. Also, the smart grid aims to solve all the problems encountered in the current electrical grid (outage, lack of renewable energy, an excess in the produced power, etc.) by transmitting and sharing the information in real time between the different entities through the installation of the sensors. This chapter therefore presents the architecture of the smart grid by describing its objectives and advantages. In addition, the microgrids are presented as small electric networks. Then, focusing on the security aspects, an analysis of the different attacks and risks faced in the smart grids and more particularly in the microgrids is presented. After, different techniques and suitable security solutions are detailed to protect and secure the various elements of the smart grids and microgrids.


Author(s):  
Ken Nagasaka

Recently many utilities, manufacturers, researchers, government leaders around the world are working on a very sophisticated issue, Smart Grid, to modernize both the electric power transmission and distribution grids for the future. As a suitable subject for special issue for the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), I found that Smart Grid with its impacts on many fields is a timely subject though related to the fundamental concept of this Journal on Intelligence and real-world applications and so forth. Smart grids are intelligent and self-healing power systems which integrate intelligent transmission network with IT and collect, distribute, and process information about the behavior of all power suppliers and consumers in order to improve reliability, power quality, and to reduce electricity costs. Using a key issue, smart meter, enables smart grids to have smart real time monitoring on a regional and national scale to control and management the grids to avoid or mitigate the system-wide blackouts. In this special issue, we hope to explore breakthrough and new contributions useful to achieve the goal of smart grid. Three papers were selected for this special issue: The first paper proposes a novel idea though a strategic system in energy and environment required in smart grid. Managing sources combination including solar energy as well as the production trading is a new kind of risk management in smart grid. Important extensions of this study includes emissions management program accommodating uncertain and erratic renewable energy sources such as solar and wind energies. The second paper is related to communication aspect required for smart grid technology when renewable energy in small smart communities is interconnected to the smart grid. The simulation model developed in this paper is believed to be a useful tool in real-time power management system in smart grid. Third paper is selected as another hot subject in smart grids; the authors developed an extended procedure that obtains a unit commitment including a significant wind power penetration and PEVs as additional reserves. The shadow prices obtained by the trade-off analysis may provide a basis of evaluating the equivalent cost of the wind farms and the applying PEVs as the reserve and their contribution toward CO2 reduction. Finally, using this opportunity, I would like to thank the reviewers for spending their valuable time for evaluating the papers and quick response which made this special issue catch the time. I would also like to thank the JACIII editorial office for their great assistance for preparing this special issue.


Author(s):  
Seong Cheol Kim ◽  
Papia Ray ◽  
S. Surender Reddy

This paper presents an overview of smart grid (SG) technology features such as two-way communication, advanced metering infrastructure (AMI) system, integration of renewable energy, advanced storage techniques, real time operation and control, data management and processing, physical and cyber security, and self-healing, etc. The SG technology allows twoway communications for better reliability, control, efficiency and economics of the power system. With these new SG technologies, consumers have many energy choices, such as use of renewable energy, usage management, flexible rates, electric vehicles (EVs), etc. The requirement of these technologies is the real time operation, and the SG accommodates this realtime operation and control. SG technology allows distributed generation through demand response and energy efficiency technologies to shed the load demand. However, it’s very difficult to adopt these changes to the conventional grids. Utility companies, governments, independent system operators (ISOs) and energy regulatory commissions need to agree on the scope and time frame of these changes.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Liao ◽  
Chengjun Ji

A large number of modern communication technologies and sensing technologies are incorporated into the smart grid, which makes its structure unique. The centralized optimized dispatch method of traditional power grids is difficult to achieve effective dispatch of smart grids. Based on the analysis of power generation plan and maintenance plan optimization model, this paper establishes a smart grid power generation and maintenance collaborative optimization model with distributed renewable energy. The objective function of this collaborative optimization problem is the operating cost of conventional units, the cost of wind power generation, and the cost of overhauling units; the constraints considered mainly include system constraints and overhaul constraints. The solution method of combinatorial optimization is analyzed, and the genetic optimization algorithm adopted in this paper is selected and discussed. According to the characteristics of the system, various loads are modeled, and power supply constraints are considered. By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem. Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system. The real-time algorithm proposed in the paper is based on a distributed control strategy, which can not only realize dynamic compensation for random fluctuations in renewable energy power generation but also satisfy the load curve optimization under the premise of making full use of power supply resources. In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method.


Author(s):  
A. Monot ◽  
M. Wahler ◽  
J. Valtari ◽  
M. Rita-Kasari ◽  
J. Nikko
Keyword(s):  

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.


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