Smart Grid - a reliability perspective

Moslehi, K.; Kumar, Ranjit

doi:10.1109/isgt.2010.5434765

Cited by 130 publications

(57 citation statements)

References 2 publications

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“…Dong et al [15] analyze self-healing control technique of smart distribution system, which can solve various problems, such as the low capacity utilization rate, low power supply reliability and high line loss rate. Moslehi et al [16] present a grid-wide IT architectural framework to meet the reliability challenges of SG from renewables, demand response and storage.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods

Zhao

2016

Sustainability

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Abstract:As an efficient way to deal with the global climate change and energy shortage problems, a strong, self-healing, compatible, economic and integrative smart gird is under construction in China, which is supported by large amounts of investments and advanced technologies. To promote the construction, operation and sustainable development of Strong Smart Grid (SSG), a novel hybrid framework for evaluating the performance of SSG is proposed from the perspective of sustainability. Based on a literature review, experts' opinions and the technical characteristics of SSG, the evaluation model involves four sustainability criteria defined as economy, society, environment and technology aspects associated with 12 sub-criteria. Considering the ambiguity and vagueness of the subjective judgments on sub-criteria, fuzzy TOPSIS method is employed to evaluate the performance of SSG. In addition, different from previous research, this paper adopts the stochastic Analytical Hierarchy Process (AHP) method to upgrade the traditional Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) by addressing the fuzzy and stochastic factors within weights calculation. Finally, four regional smart grids in China are ranked by employing the proposed framework. The results show that the sub-criteria affiliated with environment obtain much more attention than that of economy from experts group. Moreover, the sensitivity analysis indicates the ranking list remains stable no matter how sub-criteria weights are changed, which verifies the robustness and effectiveness of the proposed model and evaluation results. This study provides a comprehensive and effective method for performance evaluation of SSG and also innovates the weights calculation for traditional TOPSIS.

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Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods

Zhao

2016

Sustainability

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“…Such conditions are more prevalent during peak load or congested operation as illustrated in Figure 9 [93]. Non-emergency demand response in the range of 5% to 15% of system peak load can provide substantial benefits in reducing the need for additional resources and lowering real-time electricity prices [2].…”

Section: Reliabilitymentioning

confidence: 99%

“…9. Communications for Demand Response [93] below 5% of peak load [94]. In a smart grid, real-time price information enables wider voluntary participation by consumers.…”

Section: Reliabilitymentioning

confidence: 99%

A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges

Yan

Qian

Sharif

et al. 2013

IEEE Commun. Surv. Tutorials

1,122

479

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Abstract-A communication infrastructure is an essential part to the success of the emerging smart grid. A scalable and pervasive communication infrastructure is crucial in both construction and operation of a smart grid. In this paper, we present the background and motivation of communication infrastructures in smart grid systems. We also summarize major requirements that smart grid communications must meet. From the experience of several industrial trials on smart grid with communication infrastructures, we expect that the traditional carbon fuel based power plants can cooperate with emerging distributed renewable energy such as wind, solar, etc, to reduce the carbon fuel consumption and consequent green house gas such as carbon dioxide emission. The consumers can minimize their expense on energy by adjusting their intelligent home appliance operations to avoid the peak hours and utilize the renewable energy instead. We further explore the challenges for a communication infrastructure as the part of a complex smart grid system. Since a smart grid system might have over millions of consumers and devices, the demand of its reliability and security is extremely critical. Through a communication infrastructure, a smart grid can improve power reliability and quality to eliminate electricity blackout. Security is a challenging issue since the on-going smart grid systems facing increasing vulnerabilities as more and more automation, remote monitoring/controlling and supervision entities are interconnected.Index Terms-Smart grid, communication infrastructure, intelligent network, interconnected power system, monitoring, sensing, cyber security I. BACKGROUND S MART grid is a term referring to the next generation power grid in which the electricity distribution and management is upgraded by incorporating advanced two-way communications and pervasive computing capabilities for improved control, efficiency, reliability and safety. A smart grid delivers electricity between suppliers and consumers using two-way digital technologies. It controls intelligent appliances at consumers' home or building to save energy, reduce cost and increase reliability, efficiency and transparency [1]. A smart grid is expected to be a modernization of the legacy electricity network. It provides monitoring, protecting and optimizing automatically to operation of the interconnected elements. It covers from traditional central generator and/or emerging renewal distributed generator through transmission network and distribution system to industrial consumer and/or home users with their thermostats, electric vehicles, intelligent appliances [2]. A smart grid is characterized by the bidirectional connection of electricity and information flows to create an automated, widely distributed delivery network. It incorporates the legacy electricity grid the benefits of modern communications to deliver real-time information and enable the near-instantaneous balance of supply and demand management [3]. Many technologies to be adopted by smart grid have alread...

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“…Under these conditions, critical perturbations may cause cascading events that could eventually drive the system to blackouts [1]. Nowadays, the emerging intelligent technology has allowed designing the structure of the so-called "Smart Grid", which is supposed to efficiently respond to the actual system conditions and provide autonomous control actions to enhance the system security in real time [2]. This new scheme requires special control strategies which should be adjusted depending on the real time event progress.…”

Section: Introductionmentioning

confidence: 99%

Identification of dynamic equivalents based on heuristic optimization for smart grid applications

Cepeda

Rueda

Erlich

2012

2012 IEEE Congress on Evolutionary Computation

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Abstract-Vulnerability assessment is one of the main tasks in a Self-Healing Grid structure, since it has the function of detecting the necessity of performing global control actions in real time. Due to the short-time requirements of real time applications, the eligible vulnerability assessment methods have to consider the improvement of calculation time. Although there are several methods capable of performing quick assessment, these techniques are not fast enough to analyze real large power systems in real time. Based on the fact that vulnerability begins to develop in specific regions of the system exhibiting coherent dynamics, large interconnected power systems can be reduced through dynamic equivalence in order to reduce the calculation time. A dynamic equivalent should provide simplicity and accuracy sufficient for system dynamic simulation studies. Since the parameters of the dynamic equivalent cannot be easily derived from the mathematical models of generators and their control systems, numerical identification methods are needed. Such an identification task can be tackled as an optimization problem. This paper introduces a novel heuristic optimization algorithm, namely, the Mean-Variance Mapping Optimization (MVMO), which provides excellent performance in terms of convergence behavior and accuracy of the identified parameters. The identification procedure and the level of accuracy that can be reached are demonstrated using the Ecuadorian-Colombian interconnected system in order to obtain a dynamic equivalent representing the Colombian grid.

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Smart Grid - a reliability perspective

Cited by 130 publications

References 2 publications

Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods

Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods

A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges

Identification of dynamic equivalents based on heuristic optimization for smart grid applications

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