Where do we introduce modifications in the conventional power system state estimation algorithm so as to utilize the existing algorithm for distribution system state estimation??
Dear Sukriti Tiwari
Distribution State Estimation takes into consideration the lack of real-time data and compensates for it with historical data, pseudo and virtual measurements, in order to get the smallest amount of input data required to run a consistent power flow.
While, In order to obtain the minimum quantity of input data necessary to run a consistent power flow, Distribution State Estimation considers the lack of real-time data and compensates for it with historical data, pseudo and virtual measurements.
Kind Regards
Qamar Ul Islam
Thank you Qamar Ul Islam sir, for the answer.
Will the Jacobian matrix formulation would differ in distribution system state estimation because of its radial structure?
Pleasure Sukriti Tiwari Apparently, The practical implementation of distributed DSSE is difficult owing to a limited amount of real measurements, transmission latency, and unsynchronized measurements, all of which impair MASE's solution accuracy.
Hi,
I think there are some review papers about DSSE, which can answer your question, I just named one:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7779155
In general, what makes the distribution grid become different from the transmission grid (where conventional SE plays an important role) (also just named some).
- Unbalance system: then you cannot assume the system is balanced and solve SE for one phase.
- Size of system: with a large distribution system, you need to have a lot of real-time measurements to solve the traditional WLS. However, it is not realistic with the distribution network.
- Uncertainty: of network parameter, data, generation of renewable energy resources.
Good luck, Quan.
Hello dear,
State Estimation is a process to estimate the electrical state of a network by eliminating inaccuracies and errors from measurement data. Various measurements are placed around the network and transferred to the operational control center via SCADA. Unfortunately, measurements are not perfect and so to account for the measurement errors, the state estimation processes all available measurements and uses a regression method to identify the likely real state of the electrical network. However, traditional state estimation techniques have difficulty with the low-observability conditions often present on distribution systems because of a paucity of sensors and heterogeneity of measurements, as there are other methods that employ data-driven matrix/tensor completion augmented with power flow constraints to recover the operation states of an entire system. These methods operate in systems that lack full observability and where standard least-squares-based methods cannot operate and flexibly incorporates any network quantities measured in the field.
Check this paper in the link below: https://ieeexplore.ieee.org/abstract/document/9352012
Good luck,
Mohammed Khrishi
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