Building energy storage system with peak load contribution and stochastic cost optimization
US-2019324487-A1 · Oct 24, 2019 · US
US12456864B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12456864-B2 |
| Application number | US-202018010429-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 30, 2020 |
| Priority date | Jun 15, 2020 |
| Publication date | Oct 28, 2025 |
| Grant date | Oct 28, 2025 |
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Provided an intermittent characteristic-based demand-side resource coordination control method and system. The method includes: receiving a control request, where the control request is used for requesting control of demand-side resources having an intermittent characteristic; determining a target total control quantity of demand-side resources; determining a coordination strategy of multiple demand-side resources and an action quantity of each of the multiple demand-side resources; and performing coordinated control on the multiple demand-side resources based on the target total control quantity of demand-side resources, the coordination strategy, and the action quantity of each of the multiple demand-side resources.
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What is claimed is: 1 . An intermittent characteristic-based demand-side resource coordination control method, comprising: receiving a control request, wherein the control request is used for requesting control of demand-side resources having an intermittent characteristic; determining an optimal total control quantity of demand-side resources; determining a coordination strategy of a plurality of demand-side resources and an action quantity of each of the plurality of demand-side resources; and performing coordinated control on the plurality of demand-side resources based on the optimal total control quantity of demand-side resources, the coordination strategy, and the action quantity of each of the plurality of demand-side resources; wherein determining the optimal total control quantity of demand-side resources comprises: determining an objective function min J = ∫ 0 ∞ x T ( t ) Qx ( t ) + u T ( t ) Ru ( t ) dt , wherein x(t)=[Δf 1 Δf 2 ] T denotes a system state, Δf 1 and Δf 2 denote respectively frequency deviations of two regions in a system, u(t) denotes a total control quantity of demand-side resources, Q denotes a constant weight matrix of the system state, and R denotes a constant weight matrix of the total control quantity; and solving, based on a control objective of the system, the optimal total control quantity u*(t) of demand-side resources. 2 . The method according to claim 1 , wherein a state space model of the system is that {dot over (x)}(t)=Ax(t)+Bu, wherein A denotes a system matrix, and B denotes an input matrix; and wherein solving, based on the control objective of the system, the optimal total control quantity u*(t) of demand-side resources comprises: selecting different constant weight matrices Q and R, substituting the system matrix A and the input matrix B, and solving the following equation to obtain a target value of a matrix P: A T P+PA−Q+PBR −1 B T P= 0; and assuming that P* is a unique target positive definite solution which is obtained, determining the optimal total control quantity u*(t) of demand-side resources according to the following equation: u *( t )=− K*x ( t )=− R −1 BP*x ( t ). 3 . The method according to claim 1 , wherein the coordination strategy comprises: acquiring a control cycle of each of the plurality of demand-side resources and a control width of each of the plurality of demand-side resources; sorting acquired control widths of the plurality of demand-side resources in a descending order, and selecting a plurality of demand-side resources corresponding to control widths in a sorting result and satisfying a control condition; among the plurality of selected demand-side resources, determining, according to control cycles of the plurality of selected demand-side resources and control widths of the plurality of selected demand-side resources in an ascending order of control widths, whether each selected demand-side resource has a complementary resource; in response to a selected demand-side resource having the complementary resource, putting the selected demand-side resource and the complementary resource of the selected demand-side resource in a resource group participating in the coordinated control; and in response to the selected demand-side resource having no complementary resource, the selected demand-side resource does not participate in the coordinated control; and in a case where the selected demand-side resource has the complementary resource, determining an active power of the complementary resource participating in the coordinated control, putting the complementary resource in the resource group participating in the coordinated control, and taking the active power as an action quantity of the complementary resource; wherein in a case where two complementary demand-side resources participate in the coordinated control, only one of the two complementary demand-side resources is controlled at a same time, and the other of the two complementary demand-side resources replaces the one of the two complementary demand-side resources that is being controlled in a case where the one of the two complementary demand-side resources that is being controlled is insufficient. 4 . The method according to claim 3 , wherein the coordination strategy further comprises: solving, according to the following equations, a number N of demand-side resources in the resource group participating in the coordinated control and an action quantity P ddri of each of the demand-side resources actually participating in the coordinated control: min J ddr = ∑ i = 1 N C i × P ddri s . t . u * ( t ) ≤ ∑ i = 1 N P ddri N < N max ; wherein C i denotes a cost of an i-th demand-side resource actually participating in the coordination control, and N max denotes a number of
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