Measurement location for state estimation of distribution networks with generation

Shafiu, A.; Jenkins, Nicholas; Štrbac, Goran

doi:10.1049/ip-gtd:20041226

Cited by 108 publications

(72 citation statements)

References 8 publications

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“…leased digital fibre, private wire, telephone lines, satellite and mobile radio) and channel capacity (from a few hundred to a few thousand bits per second). These characteristics mean frequent communication media conversions 1 The simulation environment source code can be obtained from the corresponding author.…”

Section: Managementmentioning

confidence: 99%

“…This implies that additional IEDs coupling with communication channels need to be installed in 11kV network which is in practice not cost-effective. One viable solution is to adopt Distribution State Estimation (DSE) technique which predicts network operational state based on a set of pseudo measurements and a small number of actual measurements obtained from some key locations [1]. Taking voltage control as an example, only a few measurements may be needed, e.g.…”

Section: B 11kv Radial Networkmentioning

confidence: 99%

“…In this sense we also constrain our analysis to established technologies and standards so that ANM solutions would not depend on customized solutions and/or proprietary communications protocols. To obtain the results reported in this paper we develop a simulation environment that is flexible enough to assess various scenarios in which different technologies and protocols could co-exist 1 . The simulation environment includes all the major features of legacy communication technologies so that the selected solutions could also be assessed in terms of its backward compatibility.…”

Section: Introductionmentioning

confidence: 99%

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Communication Infrastructures for Distributed Control of Power Distribution Networks

Yang¹,

Barria

Green

2011

IEEE Trans. Ind. Inf.

250

122

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Abstract-Power distribution networks with distributed generators (DGs) can exhibit complex operational regimes which makes conventional management approaches no longer adequate. This paper looks into key communication infrastructure design aspects, and analyzes two representative evolution cases of Active Network Management (ANM) for distributed control. Relevant standard initiatives, communication protocols and technologies are introduced and underlying engineering challenges are highlighted. By analyzing two representative case networks (meshed and radial topologies) at different voltage levels (33kV and 11kV), this paper discusses the design considerations and presents performance results based on numerical simulations. This study focuses on the key role of the telecommunications provision when upgrading and deploying distributed control solutions, as part of future ANM systems.

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Section: Managementmentioning

confidence: 99%

Section: B 11kv Radial Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Communication Infrastructures for Distributed Control of Power Distribution Networks

Yang¹,

Barria

Green

2011

IEEE Trans. Ind. Inf.

250

122

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“…In late 90's, researchers started giving importance to the development of cost effective and reliable metering scheme which can yield accurate state estimation. The measurement data are usually power flows, power injections and bus voltages [12]. In 1996, a meter placement method developed by Mesut E Baran et al The main objective of authors in designing a metering scheme was to satisfy cost, accuracy, reliability and bad data processing requirements.…”

mentioning

confidence: 99%

“…The minimization criterion often selected is the weighted sum of error squares of all the measurements. The estimator favors accurate measurements over the less accurate ones by weighing the errors with the measurement standard deviation (σ j ) [12].…”

mentioning

confidence: 99%

Graph Theoretic Approach to Solve Measurement Placement Problem for Power System State Estimation

Motiyani¹,

Chudasama²

2014

IJAREEIE

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ABSTRACT:The meter placement problem involves selection of meters, number, type and place. This paper describes graph theoretic approach to solve the measurement placement problem for power system state estimation. The measurement configuration is designed for IEEE 14 bus system. Utilizing the proposed measurement system configuration the network observability is tested for P-δ and Q-V models by triangular factorization of the gain matrix. The designed metering scheme assures network observability and accomplishes better accuracy and bad data processing requirements for state estimator. The developed method can be used as measurement systems planning tool for power system state estimators.

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Multiobjective meter placement in active distribution system state estimation using inverse‐model ‐based multilabel Gaussian classification with adaptive reference point method

Prasad

Kumar

2021

Int Trans Electr Energ Syst

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Summary This paper proposes a new inverse‐model‐based multiobjective evolutionary algorithm for meter placement in active distribution system state estimation. The meter placement is designed as a multiobjective problem with minimizing conflict objectives such as meter cost, the relative error of voltage magnitude, and voltage angle. The multiobjective framework utilizes inverse model as a reproduction operator and maps the nondominated solution from objective space to decision space and is realized using multilabel Gaussian classification. The additional solutions are generated by sampling from inverse model that improves the search efficiency and diversity of Pareto optimal solutions. The combinatorial nature of meter placement optimization may produce a discontinuous Pareto front. The performance of multiobjective evolutionary algorithm depends on the shape of Pareto front. Therefore, to improve the performance, the adaptive reference point method is employed to adjust the reference points such that they follow the Pareto front. The proposed method is tested under different real measurement uncertainties for passive and active distribution networks. Moreover, different types of renewable sources are considered in active distribution system. The inverse model and adaptive reference point method improve the performance of multiobjective evolutionary algorithm. Therefore, the results obtained from the proposed method outperform the other existing multiobjective evolutionary algorithms, and the obtained optimal number of meters are less with the minimum voltage magnitude error and voltage angle error. The proposed method is tested on PG&E 69‐bus distribution system and Practical Indian 85‐bus distribution system.

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Measurement location for state estimation of distribution networks with generation

Cited by 108 publications

References 8 publications

Communication Infrastructures for Distributed Control of Power Distribution Networks

Communication Infrastructures for Distributed Control of Power Distribution Networks

Graph Theoretic Approach to Solve Measurement Placement Problem for Power System State Estimation

Multiobjective meter placement in active distribution system state estimation using inverse‐model ‐based multilabel Gaussian classification with adaptive reference point method

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