Smart Grid Technology Is Analysed for the Influence of the Electric Power System Planning

2015 ◽  
Vol 734 ◽  
pp. 688-691
Author(s):  
Ji Yao ◽  
Zhi Qiang Du

Based on the smart grid connected to the electricity grid system as the research object, from the development of electric technology and intelligent power grid planning of power system significance and influence of these two aspects, the work can only be connected to the electric power system grid technology has carried on the detailed analysis and elaboration, and thus demonstrates the do a good job for the whole power grid system stable operation and the role and impact of long-term development.

2020 ◽  
Vol 7 (3) ◽  
pp. 352-366
Author(s):  
Niamat Ullah Ibne Hossain ◽  
Morteza Nagahi ◽  
Raed Jaradat ◽  
Chiranjibi Shah ◽  
Randy Buchanan ◽  
...  

Abstract Due to the widespread of new technologies, the modern electric power system has become much more complex and uncertain. The Integration of technologies in the electric power system has increased the exposure of cyber threats and correlative susceptibilities from malicious cyber-attacks. To better address these cyber risks and minimize the effects of the power system outage, this research identifies the potential causes and mitigation techniques for the smart grid (SG) and assesses the overall cyber resilience of smart grid systems using a Bayesian network approach. Bayesian network is a powerful analytical tool predominantly used in risk, reliability, and resilience assessment under uncertainty. The quantification of the model is examined, and the results are analyzed through different advanced techniques such as predictive inference reasoning and sensitivity analysis. Different scenarios have been developed and analyzed to identify critical variables that are susceptible to the cyber resilience of a smart grid system of systems. Insight drawn from these analyses suggests that overall cyber resilience of the SG system of systems is dependent upon the status of identified factors, and more attention should be directed towards developing the countermeasures against access domain vulnerability. The research also shows the efficacy of a Bayesian network to assess and enhance the overall cyber resilience of the smart grid system of systems.


Author(s):  
Md. Joniur Rahaman

The term "smart grid" refers to the transformation of the traditional electric power grid into a modern grid. Modernization of the present electric power system is an important step to implement the Smart Grid technology. The structure of the existing power sector in Bangladesh is almost a hundred years old. Due to which the power sector of Bangladesh facing huge power wastage. A Smart Grid also ensures the efficient transmission and distribution of electric power. This paper gives a brief description of Smart Grid, the latest trends, challenges, prospects, cost analysis of smart grid equipment, and its facility. The spotlight of this paper is to implement the Smart Grid's perspective to Bangladesh. That’s included to have new distributed generation technology, smart meter, a pilot project, etc. Also, the main objective of this paper is the comprehensive development of transmission and distribution loss reduction, which will be saving a big amount of capital every year. And that will play a huge role in the economy of Bangladesh to move forward in global progress.


Author(s):  
Saad Afzal

Smart Grid is a communication and automatic control capabilities in electric power grid system for improving efficiency, reliability, management, capabilities and security of electric power grid. Routing is important in Smart Grid to send data from one point to another point. Routing in Smart Grid is necessary to search /identify destination point/node for communication and to computer the best available route in the network topology among which the data to be sent during communication. Smart Grid can be a combination of fixed nodes (home appliances, smart meter, control centre, etc.) but the nature of communication between fixed nodes is dynamic due to the switch on/off or the fluctuation in electricity flow. Therefore the fixed nodes can also be disappeared from the network topology in Smart Grid. Existing routing protocols for Smart Grid are based on flooding mechanism. We would like to examine the feasibility of flooding free routing in Smart Grid. Then we will propose a flooding-free routing for Smart.


Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 418 ◽  
Author(s):  
Gangjun Gong ◽  
Zhening Zhang ◽  
Xinyu Zhang ◽  
Nawaraj Kumar Mahato ◽  
Lin Liu ◽  
...  

With the integration of highly permeable renewable energy to the grid at different levels (transmission, distribution and grid-connected), the volatility on both sides (source side and load side) leading to bidirectional power flow in the power grid complicates the control mechanism. In order to ensure the real-time power balance, energy exchange, higher energy utilization efficiency and stability maintenance in the electric power system, this paper proposes an integrated application of blockchain technology on energy routers at transmission and distribution networks with increased renewable energy penetration. This paper focuses on the safe and stable operation of a highly penetrated renewable energy grid-connected power system and its operation. It also demonstrates a blockchain-based negotiation model with weakly centralized scenarios for “source-network-load” collaborative scheduling operations; secondly, the QoS (quality of service) index of energy flow control and energy router node doubly-fed stability control model were designed. Further, it also introduces the MOPSO (multi-objective particle swarm optimization) algorithm for power output optimization of multienergy power generation; Thirdly, based on the blockchain underlying architecture and load prediction value constraints, this paper puts forward the optimization mechanism and control flow of autonomous energy coordination of b2u (bottom-up) between router nodes of transmission and distribution network based on blockchain.


Author(s):  
Bora Akyol ◽  
Jereme Haack ◽  
Cody Tews ◽  
Brandon Carpenter ◽  
Anand Kulkarni ◽  
...  

The number of sensors connected to the electric power system is expected to grow by several orders of magnitude by 2020. However, the information networks which will transmit and analyze the resulting data are ill-equipped to handle the resulting volume with reliable real-time delivery. Without the ability to manage and use this data, deploying sensors such as phasor measurement units in the transmission system and smart meters in the distribution system will not result in the desired improvements in the power grid. The ability to exploit the massive data being generated by new sensors would allow for more efficient flow of power and increased survivability of the grid. Additionally, the power systems of today are not capable of managing two-way power flow to accommodate distributed generation capabilities due to concerns about system stability and lack of system flexibility. The research that we are performing creates a framework to add “intelligence” to the sensors and actuators being used today in the electric power system. Sensors that use our framework will be capable of sharing information through the various layers of the electric power system to enable two-way information flow to help facilitate integration of distributed resources. Several techniques are considered including use of peer-to-peer communication as well as distributed agents. Specifically, we will have software agents operating on systems with differing levels of computing power. The agents will cooperate to bring computation closer to the data. The types of computation considered are control decisions, data analysis, and demand/response. When paired with distributed autonomous controllers, the sensors form the basis of an information system that supports deployment of both micro-grids and islanding. Our efforts in the area of developing the next generation information infrastructure for sensors in the power grid form the basis of a broader strategy that enables better integration of distributed generation, distribution automation systems and decentralized control (micro-grids).


2013 ◽  
Vol 798-799 ◽  
pp. 353-356
Author(s):  
Ai Hua Xu ◽  
Chen Guang Xue ◽  
Jian Jun Xu

Brittleness source identification is the work of finding every brittle source. At first, build model of electric power system, based on direct current tide, all branch currents can be solved quickly. Break off every branch in turn. Use distributing factor method to obtain the other branch currents by breaking a branch current. If the other branch current exceeds the 20% rating current, then it breaks. This will lead to the refresh distribution, until all branch breaks, namely the brittleness being motivated, or until the other branch currents all satisfy the restriction condition. Thus all branches which lead brittleness to be motivated is the brittle source of electric power system. Through analyzing a three generatrixs system, obtain that (2),(3) and (4) is the brittle source.


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