Co-Optimal Placement of Measurement Devices and Their Related Communication Infrastructure in Wide Area Measurement Systems

Shahraeini, Mohammad; Ghazizadeh, Mohammad Sadegh; Javidi, Mohammad Hossein

doi:10.1109/tsg.2011.2178080

Cited by 81 publications

(71 citation statements)

References 17 publications

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“…A relevant work addressing the problem of distribution system state estimation was proposed [15] to minimize the state estimation errors. The optimal PMU placement and its communication infrastructure was designed [16] to address the problem of state estimation. A procedure finding the optimal trade-offs between PMUs and metering devices for distribution state estimation was investigated in [17].…”

Section: Related Workmentioning

confidence: 99%

A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

Ali

Weston

et al. 2016

IEEE Trans. Smart Grid

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Due to the high-measuring cost, the monitoring of power quality (PQ) is nontrivial. This paper is aimed at reducing the cost of PQ monitoring in power network. Using a real-world PQ dataset, this paper adopts a learn-from-data approach to obtain a device latent feature model, which captures the device behavior as a PQ transition function. With the latent feature model, the power network could be modeled, in analogy, as a data-driven network, which presents the opportunity to use the well-investigated network monitoring and data estimation algorithms to solve the network quality monitoring problem in power grid. Based on this network model, algorithms are proposed to intelligently place measurement devices on suitable power links to reduce the uncertainty of PQ estimation on unmonitored power links. The meter placement algorithms use entropy-based measurements and Bayesian network models to identify the most suitable power links for PQ meter placement. Evaluation results on various simulated networks including IEEE distribution test feeder system show that the meter placement solution is efficient, and has the potential to significantly reduce the uncertainty of PQ values on unmonitored power links.Index Terms-Bayesian networks (BNs), conditional entropy (CE), Monte Carlo (MC) simulations, power quality (PQ) monitoring.

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Section: Related Workmentioning

confidence: 99%

A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

Ali

Weston

et al. 2016

IEEE Trans. Smart Grid

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“…Second, the system's admittance matrix is used to calculate the system's connectivity matrix. In this regard, it is pivotal to have the total length of transmission lines for the selected test system which is assumed to be 1134 kilometers [8].…”

Section: A 17 Bus Test Systemmentioning

confidence: 99%

“…As shown in Table II, the best architectural design is introduced in terms of the OPGW coverage for suggested control center bus. It should be noted that OPGW coverage as an optimization parameter is firstly introduced in [8] and is equal to ratio of length of employed OPGW to total length of transmission lines in the selected test system. In the same table, CI Links shows the best selected routes for both methodologies to connect control center to PMU buses.…”

Section: A 17 Bus Test Systemmentioning

confidence: 99%

“…Most of the conducted researches focus on requirements and challenges of future communication systems for smart grid. However, in [8], the measurement and communication infrastructures were designed optimally using evolutionary Genetic Algorithm (GA) using PMUs and OPGWs. The authors formulated and optimized this problem with a GA model in both simultaneous and independent approaches for measurement and communication infrastructures.…”

Section: Introductionmentioning

confidence: 99%

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An efficient multi-objective approach for designing of communication interfaces in smart grids

Ghasemkhani

Anvari‐Moghaddam

Guerrero

et al. 2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…Liu et al [1] aimed at optimizing meter placement for an active distribution grid, which uses heterogeneous measurements provided by phasor measurement units (PMUs), smart metering systems, and traditional distribution grid measurements. Shahraeini et al [2] tried to optimize meters placement and communication infrastructure simultaneously, to improve observability of the whole monitoring system and reduce the total cost.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Low Voltage Network Monitoring—ICT Architecture and Field Test Experience

Repo

Giustina³

et al. 2015

IEEE Trans. Smart Grid

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Traditionally, distribution network monitoring has been focused on primary substations (i.e., high voltage/medium voltage level), whereas low voltage (LV) network has not been monitored at all. With rapid growth and penetration of distributed energy resources in LV grids, there is growing interest in extending the real-time monitoring to LV level. The framework program FP7 European Project INTEGRIS proposes an integrated real-time LV network monitoring solution and implements it in a cost-efficient way. This solution integrates smart metering data with secondary substation measurements to get a more accurate and real-time view about LV grid, uses "decentralized" distribution management architecture to optimize data flow, and uses International Electrotechnical Commission 61850 Standardbased interfaces to improve interoperability. This paper focuses on information and communications technology perspective, explains the implementation details of this monitoring solution, and presents its functionality/performance testing results from two distribution system operator field trials and from real-time digital simulator laboratory.

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Co-Optimal Placement of Measurement Devices and Their Related Communication Infrastructure in Wide Area Measurement Systems

Cited by 81 publications

References 17 publications

A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid

An efficient multi-objective approach for designing of communication interfaces in smart grids

Real-Time Low Voltage Network Monitoring—ICT Architecture and Field Test Experience

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