Subfield moisture model improvement using overland flow modeling with shallow water computations
US-2020074023-A1 · Mar 5, 2020 · US
US12401222B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12401222-B2 |
| Application number | US-202318186999-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 21, 2023 |
| Priority date | Sep 6, 2022 |
| Publication date | Aug 26, 2025 |
| Grant date | Aug 26, 2025 |
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A method for flexible coordinated operation of an urban distribution network and a watershed network, including: constructing a watershed network dynamic operation model; constructing a river water storage model a lake water storage model based on the watershed network dynamic operation model; constructing a distribution network linear alternating-current (AC) power flow model and an operating power-flow rate operation model of the pump stations to obtain a coordinated operation model of the urban distribution network and the watershed network; constructing a watershed-electricity composite sensitivity matrix; quantifying a time-varying adjustable power domain of each pump station through a pump station flexibility assessment method based on the watershed-electricity composite sensitivity matrix; constructing a power flow optimization model of the urban distribution network and a hydraulic energy flow optimization model of the watershed network; and performing electricity-water energy flow interactive optimization involving a flexible resource of the pump stations.
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What is claimed is: 1. A system for flexible coordinated operation of an urban distribution network and a watershed network, comprising: one or more generators configured to provide electrical energy to one or more drainage pump stations distributed in the watershed network; a distribution network coupled to the one or more generators, the one or more drainage pump stations and a main grid, wherein the distribution network is configured to transmit electrical energy; and a controller; wherein the controller comprises a processor and a memory coupled to the processor; and the controller is in communication with the one or more generators, the one or more drainage pump stations, and the main grid; wherein the controller is configured to perform: (a) constructing a watershed network dynamic operation model based on a de Saint-Venant nonlinear-hyperbolic-partial differential equation system; (b) constructing a river water storage model and a lake water storage model based on the watershed network dynamic operation model; (c) constructing a distribution network linear alternating-current (AC) power flow model; and based on the watershed network dynamic operation model and the distribution network linear AC power flow model, constructing an operating power-flow rate operation model of the one or more drainage pump stations to obtain a coordinated operation model of the urban distribution network and the watershed network; (d) constructing a watershed-electricity composite sensitivity matrix by using Taylor series expansion to reflect a mathematical relationship between variation of water level at individual points of the watershed network and a power increment of the one or more drainage pump stations, and a mathematical relationship between variation of flow rate at individual points of the watershed network and the power increment of the one or more drainage pump stations; (e) quantifying a time-varying adjustable power domain of a load of each of the one or more drainage pump stations through a pump station flexibility assessment method based on the watershed-electricity composite sensitivity matrix; (f) constructing a power flow optimization model of the urban distribution network and a hydraulic energy flow optimization model of the watershed network; and converting a non-convex nonlinear hydraulic energy flow optimization problem into a mixed-integer linear programming problem through a multidimensional piecewise linearization method; and (g) based on the coordinated operation model, the time-varying adjustable power domain, the flexibility assessment method, the power flow optimization model and the hydraulic energy flow optimization model, performing electricity-water energy flow interactive optimization involving a flexible resource of the one or more drainage pump stations to realize the flexible coordinated operation of the urban distribution network and the watershed network; wherein the time-varying adjustable power domain is quantified through steps of: estimating the time-varying adjustable power range of each of the one or more pump stations; successively calculating the watershed-electricity composite sensitivity matrix and an adjustment amount; and correcting the time-varying adjustable power domain until there is no water level out of a preset limit; the time-varying adjustable power domain is estimated through steps of: obtaining a baseline power consumption of the load of each of the one or more pump stations through optimal scheduling of the watershed network under a basic scenario; and estimating the time-varying adjustable power domain of each of the one or more pump stations using equation (41): F i n = { Δ P i , n p ∈ ▯ ❘ P _ i p ≤ P ~ i , n p + Δ P i , n p ≤ P _ i p , ∀ i ∈
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