Masud Rana

University of Technology, Sydney

Smart gridDistributed computingControl engineeringMicrogridComputer science

30Publications

7H-index

114Citations

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Publications 27

Newest

#1Masud RanaH-Index: 7

#2Rui Bo

Last. Haotian Chen

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#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Steven W. Su (UTS: University of Technology, Sydney)H-Index: 17

view all 3 authors...

Recently, the smart grid has been considered as a next-generation power system to modernize the traditional grid to improve its security, connectivity, efficiency and sustainability. Unfortunately, the smart grid is susceptible to malicious cyber attacks, which can create serious technical, economical, social and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional U+0028 RSC U+...

#1Masud Rana (JCU: James Cook University)H-Index: 7

#2Wei Xiang (JCU: James Cook University)H-Index: 26

Last. Eric Wang (JCU: James Cook University)H-Index: 3

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In contrast to traditional centralized estimation methods, this letter proposes a distributed dynamic state estimation method for microgrids incorporating distributed energy resources. Specifically, distributed filter structure is designed in an interconnected way, where packet losses obviously occur between them. Then the error function is written in a compact form using the matrix property of the Kronecker product. Afterwards, it can be transformed into a linear matrix inequality. Finally, the...

#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Bong Jun Choi (SUNY: State University of New York System)H-Index: 13

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In contrast to the traditional centralized power system state estimation approaches, this paper investigates the optimal filtering problem for distributed dynamic systems. Particularly, the interconnected synchronous generators are modeled as a state-space linear equation where sensors are deployed to obtain measurements. As the synchronous generator states are unknown, the estimation is required to know the operating conditions of large-scale power networks. Availability of the system states gi...

#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Steven W. Su (UTS: University of Technology, Sydney)H-Index: 17

view all 3 authors...

This paper presents a distributed state estimator for the monitoring of mega grids. Mega grids are formed as a result of merging the operation of several power system areas in order to manage power system transactions between remote parts of deregulated power systems. The paper proposes a distributed solution that will address two problems associated with mega grid state estimation, namely the increase in problem dimension and the lack of information and measurement exchange between areas within...

#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Steven W. Su (UTS: University of Technology, Sydney)H-Index: 17

view all 3 authors...

Abstract In contrast to the traditional centralised power system state estimation methods, this paper investigates the optimal filtering problem for distributed dynamic systems. Specifically, the interconnected synchronous generators are modelled as a state-space linear equation where sensors are deployed to obtain measurements. As the synchronous generator states are unknown, the estimation is required to know the overall operating conditions of large-scale complex power networks. Basically, th...

#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Steven W. Su (UTS: University of Technology, Sydney)H-Index: 17

view all 3 authors...

This paper explores the problem of distributed state estimation including packet losses for the environment-friendly renewable microgrid incorporating electricity generating circuits. The problem is becoming critical due to the global warming, increasing green house gas emissions, and practical infeasibility with computational burden of the large-scale centralized power system monitoring. To address the impending problem, a novel distributed state estimation algorithm is derived in the context o...

#1Masud RanaH-Index: 7

#2Li LiH-Index: 11

Last. Su StevenH-Index: 1

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#1Masud RanaH-Index: 7

Due to the global warming and energy crisis, the renewable distributed energy resources, such as wind turbines, are integrated into the grid. We model an AC microgrid with energy generating units, local loads, and electronic devices. Then, the set of non-linear differential equations are expressed as a state-space model. As the microgrid is located in the customer premises or remote areas, its condition needs to monitor in real-time. So, the smart sensor requires to deploy around the microgrid, ...

Distributed State Estimation Over Unreliable Communication Networks With an Application to Smart Grids

#1Masud Rana (UTS: University of Technology, Sydney)H-Index: 7

#2Li Li (UTS: University of Technology, Sydney)H-Index: 11

Last. Steven W. Su (UTS: University of Technology, Sydney)H-Index: 17

view all 3 authors...

In contrast to the traditional centralized power system state estimation methods, this paper investigates the interconnected optimal filtering problem for distributed dynamic state estimation considering packet losses. Specifically, the power system incorporating microgrids is modeled as a state-space linear equation where sensors are deployed to obtain measurements. Basically, the sensing information is transmitted to the energy management system through a lossy communication network where meas...

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