“…To improve the accuracy of the state estimation, many meter placement methods have been proposed in the literature [52,54,55]. The purpose of these methods is generally to improve the accuracy of the estimated parameters to reach a desired threshold.…”
Section: Minimizing Estimation Errormentioning
confidence: 99%
“…Alternatively, the meter placement problem for distribution networks can be formulated to achieve the desired DSSE accuracy with a minimum number of measurement equipment. To improve the accuracy of the state estimation, many meter placement methods have been proposed in the literature [52, 54, 55]. The purpose of these methods is generally to improve the accuracy of the estimated parameters to reach a desired threshold.…”
Section: Meter Placement Studies Classificationmentioning
Increasing the number of measurements in power distribution networks is crucial in improving the monitoring accuracy and operation quality. However, due to the large number of nodes in distribution networks, it is not economically possible to install meters in all nodes. State estimation as a useful tool can help to reduce the need for meters. The location of meters has a significant effect on the state estimation results. A comprehensive literature review of the optimal meter placement methods in distribution networks with the aim of improving state estimation is presented in this paper. These methods are compared in terms of the objective function and constraints of the optimization problem, relevant uncertainties, types of state estimation algorithms and the solution methods. This paper provides a detailed insight for researchers and network operators about the types of meter placement methods, their advantages and disadvantages, existing barriers, and future research areas.
“…To improve the accuracy of the state estimation, many meter placement methods have been proposed in the literature [52,54,55]. The purpose of these methods is generally to improve the accuracy of the estimated parameters to reach a desired threshold.…”
Section: Minimizing Estimation Errormentioning
confidence: 99%
“…Alternatively, the meter placement problem for distribution networks can be formulated to achieve the desired DSSE accuracy with a minimum number of measurement equipment. To improve the accuracy of the state estimation, many meter placement methods have been proposed in the literature [52, 54, 55]. The purpose of these methods is generally to improve the accuracy of the estimated parameters to reach a desired threshold.…”
Section: Meter Placement Studies Classificationmentioning
Increasing the number of measurements in power distribution networks is crucial in improving the monitoring accuracy and operation quality. However, due to the large number of nodes in distribution networks, it is not economically possible to install meters in all nodes. State estimation as a useful tool can help to reduce the need for meters. The location of meters has a significant effect on the state estimation results. A comprehensive literature review of the optimal meter placement methods in distribution networks with the aim of improving state estimation is presented in this paper. These methods are compared in terms of the objective function and constraints of the optimization problem, relevant uncertainties, types of state estimation algorithms and the solution methods. This paper provides a detailed insight for researchers and network operators about the types of meter placement methods, their advantages and disadvantages, existing barriers, and future research areas.
“…In [19], another multiobjective approach is described. The proposed method considers the installation costs of a meter, supply reliability monitoring, network loss monitoring and voltage levels analysis and the estimation error.…”
Section: Literature Reviewmentioning
confidence: 99%
“…• Dynamic Programming: [11,12]. • GA or other evolutionary: [13,20,25,35,36,40,43,45].•Typical heuristic (e.g., particle swarm optimization):[38].•Other algorithm or mixed approach:[15,[17][18][19]21,23,39,42].…”
This paper deals with the issue of measurement device placement for load flow analysis in medium-voltage (MV) distribution networks. The study is carried out using an innovative measurement algorithm for load flow analysis developed by the authors. It is based on low-voltage (LV) load power measurements applied on a backward/forward algorithm for the load flow resolution. The final aim is to identify the most suitable number and placement of the LV measurement points in order to limit the uncertainty on the power flow estimation to a target value. The proposed approach is based on the uncertainty evaluation of the estimated power flows; a sensitivity analysis is performed in order to assess the uncertainty contribution of each LV power measurement to the estimated power flow upstream of each MV feeder of the distribution network. The LV measurement device placement is presented and discussed in a real case study, i.e., the distribution network of the Ustica Island
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