Double-layer robust state estimation method and system of electric heating comprehensive energy system
A technology for comprehensive energy system and robust state estimation, which is applied in calculation, design optimization/simulation, instrumentation, etc., can solve the problem of not considering constraint relations and thermal power measurement, increasing the number of power system state variables, and thermal system state variables Estimated value error is large, etc.
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Embodiment 1
[0101] The present invention provides a double-layer tolerance state estimation method for an electrothermal integrated energy system, the schematic diagram is as follows figure 1 As shown, it includes: obtaining the power system quantity measurement and thermal system quantity measurement of the electric-thermal integrated energy system; wherein the thermal system includes: hydraulic network and thermal network, and the thermal system quantity measurement includes hydraulic network quantity measurement and thermal network quantity measurement ; Input the power system quantity measurement and hydraulic network quantity measurement into the pre-built power system hydraulic network state estimation model to obtain the power system state variable node voltage amplitude estimate, node phase angle estimate value and hydraulic network state variable node pressure The estimated value of the head, the estimated value of the branch flow of the hydraulic network and the estimated value o...
Embodiment 2
[0215] The electric-thermal comprehensive energy system adopted in the present invention adopts an island operation mode. Among them, the slack node 1 in the revised IEEE14-node power system is connected with the heat source node 31 in the Bali 32-node thermal system through a gas turbine, and the proportional coefficient c m1 =1.3; the PV node 6 in the power system is connected with the slack node 1 in the thermal system through a steam turbine, where Z=8.1, P con =0.2p.u; the PV node 2 in the power system is connected with the heat source node 32 in the thermal system through an internal combustion engine, and the proportional coefficient c m2 = 1.266.
[0216] Test analysis under normal measurement
[0217] The measured value of the IEHS in the present invention under normal conditions is formed by adding Gaussian noise on the basis of the true value of the power flow, and the standard deviation of the measured noise of the power system and the thermal system is set to 10...
Embodiment 3
[0263] Based on the same inventive concept, the present invention also provides a double-layer tolerance state estimation system for an electrothermal integrated energy system, such as figure 2 shown, including:
[0264] The data acquisition module is used to obtain the power system quantity measurement and the thermal system quantity measurement of the electrothermal integrated energy system; wherein the thermal system includes: a hydraulic network and a thermal network, and the thermal system quantity measurement includes a hydraulic network quantity measurement and a thermal network quantity measurement Measurement;
[0265] The power system hydraulic network state estimation module is used to input the power system quantity measurement and hydraulic network quantity measurement into the pre-built power system hydraulic network state estimation model to obtain the power system state variable node voltage amplitude estimation value and node phase angle Estimated value and ...
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