DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/rrznxn/power_system) has announced the addition of the "Power System State Estimator Market by Software type, Application and Solution Methods - Global Trends & Forecasts to 2019" report to their offering.
The global power system state estimator market is estimated to reach $5.87 Billion by 2019 from $3 billion in 2014, with a projected CAGR (Compound Annual Growth Rate) of 14.35%, signifying a high demand for state estimator and increasing concern for energy savings.
Effective monitoring and control of the grid requires real-time analysis tools that can estimate the system state and also predict its response to changing load and weather conditions. Thus, power system analysis requires dynamic network topology and real-time measurements. State estimation is the process of assigning a value to an unknown system state variable, based on measurements from that system based on preset criteria.
The process involves imperfect measurements that are redundant and the process of estimating the system states is based on a statistical criterion that takes into account the true value of state variables to minimize or maximize the selected criterion.
In a power system, state variables are the voltage MAGNITUDES and Relative Phase Angles at the System Nodes. The inputs to an estimator are imperfect power system measurements of voltage magnitude and power, VAR, or ampere flow quantities. The estimator is designed to produce the best estimate of the system voltage and phase angles, recognizing that there are errors in the measured quantities and that they may be redundant measurements.
With more smart metering devices being deployed on the grid, power system analysis receives data with higher accuracy and resolution. However, wide deployment of metering devices is limited owing to their high price. When metering devices are installed at key locations on the grid, state estimation can serve as a useful technique to fill-in the missing points as well as smooth-out noisy measurements. The estimation result reflects the true state of the circuit parameters such as bus voltages, real, and reactive power flow on the branches.
- Utility & Power Control Centers
Transmission & Distribution Networks
- Kalman Filter
- Newton Gaussian
- Abb Group
- BCP Switzerland (Neplan)
- CYME International
- Digsilent (Power Factory)
- EPFL (Simsen)
- ETAP Electrical Engineering Software
- Electrocon (CAPE)
- Energy Computer Systems (Spard)
- GDF Suez (Eurostag)
- General Electric
- Inspired Interfaces (Retic Master)
- KEPCO (KW-PSS)
- Open System International, Inc. (OSI)
- PRDC (Mipower)
- SKM (Power Tools for Windows)
- Siemens Ag
- Siemens PTI
- TOM (Pasha)
For more information visit http://www.researchandmarkets.com/research/rrznxn/power_system