State estimation in distribution grids

Gelagaev, Ratmir; Vermeyen, Pieter; Driesen, Johan

doi:10.1109/ichqp.2008.4668803

Cited by 30 publications

(14 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The limitations in their work were real time measurements were taken randomly and location of meter has not been considered. R.Gelagaev [12] developed two methods for the state estimation in distribution grid. They were Weighted Least Squares and Extended Kalman Filter.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differential evolution meter location in distribution state estimation

Ramesh

Chakraborty

Chowdhury

2011

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011)

View full text Add to dashboard Cite

Distribution System monitoring become a very important function in today's deregulated power markets and thus, state estimators have become the essential tools of choice for the implementation of this function. Determination of the best possible combination of meters for monitoring a given Distribution System is referred to as the optimal meter placement. Whether a new state estimator is put into service or an existing one is being upgraded, placing new meters for improving or maintaining reliability and the observability of the measurement system, is of great concern. This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices needed to operate management and control issues, such as energy dispatching and protection coordination, in modern electric distribution networks. The intelligent algorithm tested for IEEE and TNEB test systems.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The test result for condition C is expressed below with 73 number of RTU needed for optimal placing. The Bus location is specifi ed below 2,6,7,9,12,17,21,24,27,30,31,34,35,38,41,45,49,52,53,5 6,59,62,65,68,70,73,76,79,82,84,88,91,95,96,100,103,106,110,1 12,117,120,123,127,130,132,136,138,140,142,145,147,150. The total investment cost is 84.4 units.…”

mentioning

confidence: 99%

Differential evolution meter location in distribution state estimation

Ramesh

Chakraborty

Chowdhury

2011

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011)

View full text Add to dashboard Cite

show abstract

“…Due to technical and economic constraints, real-time monitoring of the voltage magnitude in LV grid nodes is not readily available. On the other hand, the growing penetration of renewable energy resources and storage units, including electric vehicles, demand-side-management strategies and microgrids with independent controllability and islanding capabilities, require new techniques to increase the situational awareness of human operators and enable real-time decision making [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques

Bessa

Sampaio

Miranda

et al. 2018

2018 Power Systems Computation Conference (PSCC)

View full text Add to dashboard Cite

Abstract-Power systems are becoming more complex and the need for increased awareness at the lower voltage levels of the distribution grid requires new tools that provide a reliable and accurate estimation of the system state. This paper describes an innovative state estimation method for low voltage (LV) grids that analyses similarities between a real-time snapshot comprising only a subset of smart meters with real-time communications and fully observed system states present in historical data. Real-time estimates of voltage magnitudes are obtained by smoothing the most similar past snapshots with a data-driven methodology that does not relies on full knowledge of the grid topology and electrical characteristics. Moreover, the output of the LV state estimator is a conditional probability distribution obtained with kernel density estimation. The results show highly accurate estimation of voltage magnitude, even in a scenario characterized by a strong integration of photovoltaic (PV) microgeneration.

show abstract

“…The optimal routes are obtained, further to minimise the total cost, current and voltage values are needed. For this load flow analysis is solved [14][15]. The following sections describe the problem statement, details on the proposed algorithm, load flow algorithm to obtain the current and voltage for further proceeding in the optimisation, results obtained by the algorithm used and the conclusion of the work done.…”

Section: Introductionmentioning

confidence: 99%

Dijkstra Algorithm for Feeder Routing of Radial Distribution System

Jha¹

2013

IOSRJEN

View full text Add to dashboard Cite

This paper proposes the application of Dijkstra algorithm for feeder routing of radial distribution system. A complete network of available routes is considered and the optimization goal is to find the routes that provide the minimal total annual cost, which is obtained by the proposed algorithm. Distribution system planning mainly concentrates upon minimising the total annual cost, which is the summation of recovery cost, energy loss cost and undelivered energy loss cost taking in account all the constraints. The feasibility of proposed algorithm is applied on 25 nodes distribution network.

show abstract

State estimation in distribution grids

Abstract: Abstract-

Cited by 30 publications

References 9 publications

Differential evolution meter location in distribution state estimation

Differential evolution meter location in distribution state estimation

Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques

Dijkstra Algorithm for Feeder Routing of Radial Distribution System

Contact Info

Product

Resources

About