IP Library Granted Patent US 12687832
Granted Patent B2
US 12687832 · App. 18/331,949 · Granted Jul 21, 2026

Optimal scheduling method for peak regulation of cascade hydro-photovoltaic complementary power generation system

Inventors: Jian Zhou (Kunming, CN); Yang Li (Kunming, CN); Dacheng Li (Kunming, CN); Wei Jiang (Kunming, CN); Feng Wu (Kunming, CN); Huawei Xiang (Kunming, CN); Yun Tian (Kunming, CN); Yifan Bao (Kunming, CN); Di Wu (Kunming, CN); Xu Li (Kunming, CN); Linjun Shi (Kunming, CN); Wenbo Huang (Kunming, CN); Xinglin Duan (Kunming, CN); Keman Lin (Kunming, CN); Yanqing Zhang (Kunming, CN)
Assignees: Huaneng Lancang River Hydropower Inc; Hohai University; POWERCHINA Guiyang Engineering Corporation Limited; HUANENG GROUP R&D CENTER CO., LTD.
G05B19/042G05B2219/2639
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Quick Facts
Patent No.
US 12687832
App. No.
18/331,949
Granted
Jul 21, 2026
Kind
B2
Abstract

Disclosed is an optimal scheduling method for peak regulation of a cascade hydro-photovoltaic complementary power generation system. The method includes: establishing an objective function of optimal scheduling for peak regulation of the cascade hydro-photovoltaic complementary power generation system; establishing a photovoltaic power station output constraint condition considering uncertainty; optimizing a mixed integer linear model by performing linear processing on the constraint condition; and obtaining a scheduling solution by solving the mixed integer linear model. According to the present disclosure, a unit commitment of a hydro-power station and an operational solution of a reservoir are considered, so that photovoltaic output can be consumed by fully using a characteristic that the hydro-power unit is easy to regulate, and a demand for peak regulation of a power grid can be satisfied.

Claims (1090)

1 . An optimization scheduling method for a peak regulation of a cascade hydro-PV complementary power generation system, comprising:

establishing an objective function of optimization scheduling for the peak regulation of the cascade hydro-PV complementary power generation system; and establishing a cascade hydro-power constraint condition considering a unit commitment and the PV power station output constraint condition considering uncertainty;

performing linear processing on the constraint condition, and constructing a mixed integer linear model of optimization scheduling for the peak regulation of the cascade hydro-PV complementary power generation system based on the objective function and a linearized constraint condition; and

solving the mixed integer linear model of optimization scheduling for the peak regulation of the cascade hydro-PV complementary power generation system so as to obtain a scheduling scheme for the cascade hydro-PV complementary power generation system;

controlling operation of the cascade hydro-PV complementary power generation system based on the scheduling scheme;

wherein the establishing an objective function of optimal scheduling for peak regulation of the cascade hydro-photovoltaic complementary power generation system comprises:

taking a minimized maximum residual load of a receiving-end grid during a scheduling period as the objective function:

min

f

=

max

(

P

load

(

t

)

-

i

=

1

N

h

g

=

1

G

i

P

i

,

g

(

t

)

-

P

s

e

(

t

)

,

)

,

t

T

wherein f is a maximum residual load of the receiving-end grid; P load (t) is a load at moment t; P i,g (t) is active output of a g th generating unit in an i th cascade hydro-power station at the moment

t

;

P

s

e

(

t

)

 is generating power of the photovoltaic power station at the moment t; T is a total time period of the scheduling period; N h is the total number of cascade hydro-power stations; and G i is the number of generating units involved in the i th cascade hydro-power station;

the establishing a cascade hydro-power constraint condition considering a unit commitment and a photovoltaic power station output constraint condition considering uncertainty comprises:

establishing a photovoltaic power station output constraint as:

P

s

e

(

t

)

=

P

_

s

(

t

)

+

P

s

ˆ

(

t

)

P

^

s

L

(

t

)

P

s

ˆ

(

t

)

P

s

U

(

t

)

wherein P s (t) is an expected value of the generating power of the photovoltaic power station at the moment t; {circumflex over (P)} s (t) is a power deviation of the photovoltaic power station at the moment t; and

P

ˆ

s

L

(

t

)

,

P

^

s

U

(

t

)

 are a lower limit and an upper limit of the power deviation at the moment t, respectively; and

establishing a cascade hydro-power constraint considering the unit commitment, which comprises:

a hydro-power unit output constraint:

P

i

,

g

(

t

)

=

η

i

,

g

H

i

(

t

)

q

i

,

g

(

t

)

u

i

,

g

(

t

)

P

i

,

g

min

P

i

,

g

(

t

)

u

i

,

g

(

t

)

P

i

,

g

max

wherein η i,g is a hydro-power conversion coefficient of the g th generating unit in the i th cascade hydro-power station; H i (t) is a power generation water head of a unit in the i th cascade hydro-power station at the moment t; q i,g (t) is a power generation flow of the g th generating unit in the i th cascade hydro-power station at the moment

t

;

P

i

,

g

min

 and

P

i

,

g

max

 are a lower limit and an upper limit of active power output of the g th generating unit in the i th cascade hydro-power station, respectively; and u i,g is an operating state variable of the g th generating unit in the i th cascade hydro-power station, wherein if the generating unit is activated, u i,g (t) is 1, and otherwise, u i,g (t) is 0;

a hydro-power unit vibration zone limit constraint:

(

P

i

,

g

(

t

)

-

P

_

i

,

g

k

)

(

P

i

,

g

(

t

)

-

P

_

i

,

g

t

)

0

wherein

P

_

i

,

g

k

 and

P

_

i

,

g

k

 are upper and lower output limits of a k th vibration zone of the g th generating unit in the i th cascade hydro-power station, respectively;

a hydro-power unit climbing ability limit constraint:

-

Δ

P

¯

i

,

g

P

i

,

g

(

t

+

1

)

-

P

i

,

g

(

t

)

Δ

P

_

i

,

g

wherein Δ P i,g is a climbing ability of the g th generating unit in the i th cascade hydro-power station;

a hydro-power unit on/off and minimum on/off duration constraint:

y

i

,

g

(

t

)

-

y

~

i

,

g

(

t

)

=

u

i

,

g

(

t

)

-

u

i

,

g

(

t

-

1

)

y

i

,

g

(

t

)

+

y

~

i

,

g

(

t

)

1

y

i

,

g

(

t

)

+

i

=

t

+

1

max

{

t

+

α

i

,

g

-

1

,

T

]

y

~

i

,

g

(

l

)

1

y

~

i

,

g

(

t

)

+

i

=

t

+

1

max

{

t

+

β

i

,

g

-

1

,

T

]

y

i

,

g

(

l

)

1

y

i

,

g

(

t

)

,

y

~

i

,

g

(

t

)

{

0

,

1

}

wherein y i,g (t) and {tilde over (y)} i,g (t) are on and off operational variables of the g th generating unit in the i th cascade hydro-power station at the moment t, respectively, wherein if the generating unit is activated, y i,g (t) is 1, and otherwise, y i,g (t) is 0; if the generating unit is deactivated, {tilde over (y)} i,g (t) is 1, and otherwise, {tilde over (y)} i,g (t) is 0; and α i,g and β i,g are minimum on duration and minimum off duration of the g th generating unit in the i th cascade hydro-power station, respectively;

a hydro-power unit power generation flow limit constraint:

u

i

,

g

(

t

)

q

i

,

g

min

q

i

,

g

(

t

)

u

i

,

g

(

t

)

q

i

,

g

max

wherein

q

i

,

g

min

 and

q

i

,

g

max

 are upper and lower limits of the power generation flow of the g th generating unit in the i th cascade hydro-power station, respectively;

an abandoned water flow limit constraint:

0

s

i

(

t

)

s

i

max

wherein s i (t) is a total abandoned water flow (m3/s) of the i th cascade hydro-power station at the moment t, and

s

i

max

 is the upper limit of an abandoned water flow of the i th cascade hydro-power station;

a reservoir water level limit constraint:

Z

i

min

Z

i

(

t

)

Z

i

max

wherein Z i (t) is a water level of a reservoir corresponding to the i th cascade hydro-power station at the moment

t

;

Z

i

min

 and

Z

i

max

 are a lower limit and an upper limit of the water level of the reservoir corresponding to the i th cascade hydro-power station, respectively, and a dead water level and a normal water level of the reservoir are taken separately;

a cascade water flow balance constraint:

V

i

(

t

)

=

V

i

(

t

-

1

)

+

[

I

i

(

t

)

+

g

q

i

-

1

,

g

(

t

-

τ

i

-

1

)

+

s

i

-

1

(

t

-

τ

i

-

1

)

-

g

q

i

,

g

(

t

)

-

s

i

(

t

)

]

Δ

t

wherein V t (t) is a water storage capacity of the reservoir corresponding to the i th cascade hydro-power station at the moment t; I i (t) is a natural incoming water flow of the i th cascade hydro-power station at the moment t; τ i-1 is a time lag of water flow between an i−1st cascade hydro-power station and the i th cascade hydro-power station; and Δt is a length of a time period in the scheduling period;

a water level-reservoir capacity relationship constraint:

Z

i

(

t

)

=

f

(

V

i

(

t

)

)

a tail water level-discharge flow relationship constraint:

Z

i

d

(

t

)

=

f

(

g

q

i

,

g

(

t

)

+

s

i

(

t

)

)

wherein

Z

i

d

(

t

)

 is a tail water level of the reservoir corresponding to the i th cascade hydro-power station at the moment t; and

a water head constraint:

H

i

(

t

)

=

1

2

[

Z

i

(

t

)

+

Z

i

(

t

-

1

)

]

-

Z

i

d

(

t

)

H

i

min

H

i

(

t

)

H

i

max

wherein

H

i

min

and

H

i

max

 are a lower limit and an upper limit of the power generation water head of the generating unit in the i th cascade hydro-power station, respectively.

2 . The optimization scheduling method for a peak regulation of a cascade hydro-PV complementary power generation system according to claim 1 , wherein the performing linear processing on the constraint condition, comprising:

converting the hydro-power unit output constraint, by using a McCormick convex envelope relaxation method, into the following linear constraint:

P

i

,

g

(

t

)

η

i

,

g

(

q

i

,

g

min

H

i

(

t

)

+

H

i

min

q

i

,

g

(

t

)

-

q

i

,

g

min

H

i

min

)

P

i

,

g

(

t

)

η

i

,

g

(

q

i

,

g

max

H

i

(

t

)

+

H

i

max

q

i

,

g

(

t

)

-

q

i

,

g

max

H

i

max

)

P

i

,

g

(

t

)

η

i

,

g

(

q

i

,

g

min

H

i

(

t

)

+

H

i

max

q

i

,

g

(

t

)

-

q

i

,

g

min

H

i

max

)

P

i

,

g

(

t

)

η

i

,

g

(

q

i

,

g

max

H

i

(

t

)

+

H

i

min

q

i

,

g

(

t

)

-

q

i

,

g

max

H

i

min

)

performing linear processing on the unit vibration zone limit constraint:

k

=

1

K

+

1

z

i

,

g

k

(

t

)

=

u

i

,

g

(

t

)

k

=

1

K

+

1

z

i

,

g

k

(

t

)

P

_

safe

,

i

,

g

k

P

i

,

g

(

t

)

k

=

1

K

+

1

z

i

,

g

k

(

t

)

P

_

safe

,

i

,

g

k

wherein, K is the number of vibration zones of the g th generating unit in the i th cascade hydro-power station; K+1 is the number of safe operating zones of the g th generating unit in the i th cascade hydro-power station;

z

i

,

g

k

(

t

)

 is an indicator variable, and

z

i

,

g

k

(

t

)

 is 1 if the output, is within a k th safe operating zone at moment t, of the g th generating unit in the i th cascade hydro-power station, and 0 otherwise;

P

_

safe

,

i

,

g

k

,

P

_

safe

,

i

,

g

k

 are upper and lower limits of the k th safe operating zone of the g th generating unit in the i th cascade hydro-power station, respectively, and meet

P

_

safe

,

i

,

g

1

=

P

i

,

g

min

,

P

_

safe

,

i

,

g

k

=

P

_

i

,

g

k

+

1

,

P

_

safe

,

i

,

g

k

=

P

_

i

,

g

k

,

P

_

safe

,

i

,

g

K

+

1

=

P

i

,

g

max

;

 and

performing piecewise linear processing on the water level-reservoir capacity relationship constraint and tail water level-discharge flow relationship constraints respectively.

3 . The optimization scheduling method for a peak regulation of a cascade hydro-PV complementary power generation system according to claim 2 , wherein the solving the mixed integer linear model of optimization scheduling for the peak regulation of the cascade hydro-PV complementary power generation system so as to obtain a scheduling scheme for the cascade hydro-PV complementary power generation system, comprising:

solving the mixed integer linear model of optimization scheduling for the peak regulation of the cascade hydro-PV complementary power generation system by using a CPLEX12.9 solver, so as to obtain the active power output of each generating unit in the cascade hydro-power station at each moment.