# US 12,009,666 B2 · Method and system for grid connection management of renewable energy generation

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- Number: US 12,009,666 B2
- Document ID: US12009666B2
- Status: Granted
- Kind: B2
- Application number: 18/075,440
- Filed: 2022-12-06
- Published: 2024-05-09
- Granted: 2024-06-11
- Earliest claimed: 2022-10-31
- Assignees: Huaneng Hubei New Energy Co., Ltd.; Huaneng Suixian Jieshan Wind Power Co., Ltd
- Applicants: Huaneng Hubei New Energy Co., Ltd.; Huaneng Suixian Jieshan Wind Power Co., Ltd
- Inventors: Yingjie Chen; Ge Peng; Hao Bian; Jun Zhang; Lei Tian; Linchuan Li
- Web page: https://patentgrep.com/patent/US12009666B2

## CPC

- H02J 3/381: {Dispersed generators}
- H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
- H02J 2103/35: Grid-level management of power transmission or distribution systems, e.g. load flow analysis or active network management
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY

## Abstract

Disclosed is a method and system for grid connection management of renewable energy generation, the method comprises: obtaining operating condition data of a first power supply, a second power supply, a power grid, and a load in a preset period; establishing a first optimal control model according to the first condition data, and establishing a second optimal control model; monitoring grid connection management status of the first optimal control model and the second optimal control model; analyzing stability when the first optimal control model is switched to the second optimal control model. The beneficial effects of this disclosure are: completing the switch from the first optimal control model to the second optimal control model in the renewable energy generation grid connection management, which improves the smoothness of control model switching under different load conditions in the renewable energy generation process.

## Claims

### Claim 1

A method for a grid connection management of a renewable energy generation, comprising:
S1, obtaining an operating condition data of a first power supply, a second power supply, a power grid, and a load in a preset period, and dividing the operating condition data into first a condition data and a second condition data;
S2, establishing a first optimal control model according to the first condition data, and establishing a second optimal control model according to the second condition data; the first optimal control model includes a first model objective function, and the second optimal control model includes a second model objective function;
S3, monitoring a grid connection management status of the first optimal control model and the second optimal control model, and a monitoring result is obtained;
S4, analyzing stability when the first optimal control model is switched to the second optimal control model through a preset algorithm according to the monitoring result, and an analysis result is obtained; completing a switch from the first optimal control model to the second optimal control model according to the analysis result;
wherein the first optimal control model in the step S2 is as follows:
f1=αcost+βΣm=1MΣi=1NPm(Cuuim,t+Cddim,t),
where cost is a total cost value of the first power supply and the second power supply under the first condition data, and m is a quantity value of the second power supply under different operation status under the first condition data, where m=1, 2, . . . , M, M is a total number of operation status; N is a total number of units in the first power supply, i represents an i-th unit, where i=1, 2, . . . , N; uim,t is a positive feedback value of output of the i-th unit in a t period under a m-th operation status, dim,t is a negative feedback value of output of the i-th unit in the t period under the m-th operation status, Cu is an adjustment coefficient of the positive feedback value of the output, Cd is an adjustment coefficient of the negative feedback value of the output, Pm is a power generated under the m-th operation status of the second power supply, α is a coefficient corresponding to cost, and β is a power adjustment coefficient under the first condition data.

### Claim 2 (depends on 1)

The method for the grid connection management of the renewable energy generation according to claim 1, in the step S1, the operating condition data is divided into the first condition data and the second condition data according to a situation of the load, wherein the first condition data is a working condition data under a first load, and the second condition data is a working condition data under a second load, and the first load is greater than the second load.

### Claim 3 (depends on 2)

The method for the grid connection management of the renewable energy generation according to claim 2, the first power supply is a conventional power station power supply, and the second power supply is a renewable energy power supply.

### Claim 4 (depends on 1)

The method for the grid connection management of the renewable energy generation according to claim 1, the second optimal control model in the step S2 is as follows:
f2=ϕcomp+λΣq=1QΣi=1NPq(Cuuiq,t+Cddiq,t),
where comp is a cost value of the first power supply, the second power supply, and the load under the second condition data, and q is a quantity value of the second power supply in different operation status under the second condition data, where q=1, 2, . . . , Q, Q is a total number of operation status; N is a total number of units in the first power supply, i represents an i-th unit, where i=1, 2, . . . , N; uiq,t is a positive output feedback value of the i-th unit in a period t under a q-th operation status, diq,t is a negative output feedback value of the i-th unit in the period t under the q-th operation status, Cu is an adjustment coefficient of the positive output feedback value, Cd is an adjustment coefficient of the negative output feedback value, Pq is a generating power under the q-th operation status, ϕ is a coefficient corresponding to comp, λ is a power adjustment coefficient under the second condition data.

### Claim 5 (depends on 4)

The method for the grid connection management of renewable energy generation according to claim 4, in the step S4, analyzing stability when the first optimal control model is switched to the second optimal control model through a preset algorithm according to the monitoring result includes:
filtering results of the grid connection management status of the first optimal control model, and taking J acquisition results in the switching period obtained from the filtering as a first matrix J; filtering results of the grid connection management status of the second optimal control model, and taking K acquisition results in the switching period obtained by filtering as a second matrix K;
corresponding model of the preset algorithm is as follows:
F
=
∑
j
=
1
J
⁢
J
⁢
∑
k
=
1
K
⁢
K
J
*
K
,
where j=1, 2, . . . , J, k=1, 2, . . . , K, F represents a smoothness of the grid connection management status when switching from the first optimal control model to the second optimal control model.

### Claim 6

A system for a grid connection management of a renewable energy generation, comprising:
a status acquisition unit, configured to obtain an operating condition data of a first power supply, a second power supply, a power grid, and a load in a preset period, and divide the operating condition data into the first condition data and the second condition data;
a control unit, configured to establish a first optimal control model according to the first condition data, and establish a second optimal control model according to the second condition data; the first optimal control model includes a first model objective function, and the second optimal control model includes a second model objective function;
a monitoring unit, configured to monitor grid connection management status of the first optimal control model and the second optimal control model, and a monitoring result is obtained;
an analysis and switching unit, configured to analyze stability when the first optimal control model is switched to the second optimal control model through a preset algorithm according to the monitoring result, and an analysis result is obtained; and the analysis and switching unit is also configured to complete a switch from the first optimal control model to the second optimal control model according to the analysis result;
wherein the first optimal control model is as follows:
f1=αcost+βΣm=1MΣi=1NPm(Cuuim,s+Cddim,t),
where cost is a total cost value of the first power supply and the second power supply under the first condition data, and m is a quantity value of the second power supply under different operation status under the first condition data, where m=1, 2, . . . , M, M is a total number of operation status; N is a total number of units in the first power supply, i represents an i-th unit, where i=1, 2, . . . , N; uim,t is a positive feedback value of output of the i-th unit in a t period under a m-th operation status, dim,t is a negative feedback value of output of the i-th unit in the t period under the m-th operation status, Cu is an adjustment coefficient of the positive feedback value of the output, Cd is an adjustment coefficient of the negative feedback value of the output, Pm is a power generated under the m-th operation status of the second power supply, α is a coefficient corresponding to cost, and β is a power adjustment coefficient under the first condition data.

### Claim 7 (depends on 6)

The system for the grid connection management of the renewable energy generation according to claim 6, in the status acquisition unit, the operating condition data is divided into a first condition data and a second condition data according to situation of the load, wherein the first condition data is working condition data under a first load, and the second condition data is working condition data under a second load, and the first load is greater than the second load;
the first power supply is a conventional power station power supply, and the second power supply is a renewable energy power supply.

### Claim 8 (depends on 7)

The system for the grid connection management of the renewable energy generation according to claim 7,
f1=αcost+βΣm=1MΣi=1NPm(Cuuim,t+Cddim,t)
uim,t dim,t
the second optimal control model is as follows:
f2=ϕcomp+λΣq=1QΣi=1NPq(Cuuiq,t+Cddiq,t),
where comp is a cost value of the first power supply, the second power supply, and the load under the second condition data, and q is a quantity value of second power supply in different operation status under the second condition data, where q=1, 2, . . . , Q, Q is a total number of operation status; N is a total number of units in the first power supply, i represents an i-th unit, where i=1, 2, . . . , N; uiq,t is a positive output feedback value of the i-th unit in a period t under a q-th operation status, diq,t is a negative output feedback value of the i-th unit in the period t under the q-th operation status, Cu is an adjustment coefficient of the positive output feedback value, Cd is an adjustment coefficient of the negative output feedback value, Pq is a generating power under the q-th operation status, ϕ is a coefficient corresponding to comp, λ is a power adjustment coefficient under the second condition data.

### Claim 9 (depends on 8)

The system for the grid connection management of the renewable energy generation according to claim 8, in the analysis and the switching unit, analyzing stability when the first optimal control model is switched to the second optimal control model through a preset algorithm according to the monitoring result includes:
filtering results of the grid connection management status of the first optimal control model, and taking J acquisition results in switching period obtained from the filtering as a first matrix J; filtering results of grid connection management status of the second optimal control model, and taking K acquisition results in switching period obtained by filtering as a second matrix K;
the corresponding model of the preset algorithm is as follows:
F
=
∑
j
=
1
J
⁢
J
⁢
∑
k
=
1
K
⁢
K
J
*
K
,
where j=1, 2, . . . J, k=1, 2, . . . , K, F represents a smoothness of the grid connection management status when switching from the first optimal control model to the second optimal control model.