Wind power consumption method of virtual power plant with consideration of comprehensive demand responses of electrical loads and heat loads

Patent metadata

Field	Value
Publication number	US-11994111-B2
Application number	US-202217699075-A
Country	US
Kind code	B2
Filing date	Mar 19, 2022
Priority date	Mar 19, 2021
Publication date	May 28, 2024
Grant date	May 28, 2024

Abstract

The present invention discloses a wind power consumption method of a virtual power plant with consideration of comprehensive demand responses of electrical loads and heat loads, which comprises: establishing a wind turbine output model, so as to obtain a wind power prediction curve; establishing heat load demand models before/after demand responses and heat supply equipment output models before/after the demand responses, so as to obtain the abandoned wind quantities per moment before/after the demand responses and the total abandoned wind quantities before/after the demand responses; judging that whether consumption is promoted or not according to the total abandoned wind quantities before/after the demand responses; and establishing a storage battery capacity model and judging the charging/discharging state and the charging/discharging capacity of a storage battery.

First claim

We claim:

1. A method for consuming wind power in a virtual plant with consideration of comprehensive demand response for electrical loads and heat loads, comprising the following steps:
providing the virtual power plant which comprises an electrical boiler, a storage battery and a wind turbine; wherein the wind turbine is capable of supplying power to the electrical boiler and an electrical load; the storage battery is capable of supplying power to the electrical load, and assisting power supply to the electrical boiler; the electrical boiler is capable of providing heat supply to a heat load;
establishing a wind turbine power model to obtain a wind power prediction curve;
establishing a pre-demand-response heat load demand model and a pre-demand-response electrical boiler output model; determining a pre-demand-response heat load demand based on the pre-demand-response heat load demand model; calculating a pre-demand-response wind power consumption of the electrical boiler according to the pre-demand-response electrical boiler output model and the pre-demand-response heat load demand; calculating a pre-demand-response abandoned wind power per moment and a pre-demand-response total abandoned wind power according to the wind power prediction curve, a pre-demand-response electrical load demand, and the pre-demand-response wind power consumption of the electrical boiler;
establishing a post-demand-response heat load demand model and a post-demand-response electrical boiler output model; determining a post-demand-response heat load demand based on the post-demand-response heat load demand model; calculating a post-demand-response wind power consumption of the electrical boiler according to the post-demand-response electrical boiler output model and the post-demand-response heat load demand;
calculating a post-demand-response electrical load demand; calculating a post-demand-response abandoned wind power per moment and a post-demand-response total abandoned wind power according to the wind power prediction curve, the post-demand-response electrical load demand, and the post-demand-response wind power consumption of the electrical boiler; then obtaining a difference value between the pre-demand-response total abandoned wind power and the post-demand-response total abandoned wind power; promoting wind power consumption if the difference value is greater than 0; and
establishing a storage battery capacity model; determining a charging-discharging state and a charging-discharging ability of the storage battery according to the storage battery capacity model and the post-demand-response abandoned wind power per moment.

2. The method according to claim 1 , wherein the wind turbine output model is:

g
WPP

(
t
)

=

{

0
,

v
t

≤

v

i
⁢
n

v
t

-

v

i
⁢
n

v
R

-

v

i
⁢
n

⁢
g

,

v

i
⁢
n

≤

v
t

≤

v
R

g
,

v
R

≤

v
t

≤

v
out

0
,

v
t

≥

v
out

where, g represents a rated power of the wind turbine; v in represents a cut-in wind speed of the wind turbine; v R represents a rated wind speed of the wind turbine; v out represents a cut-out wind speed of the wind turbine; v t represents a real-time wind speed of the wind turbine at time t; t denotes the specific moment; and g WPP (t) represents an actual output of the wind turbine at time t; and
the actual output of the wind turbine meets the following constraint condition:
g WPP min ≤g WPP ( t )≤ g WPP max

where, g WPP min represents a lower power limit of the wind turbine, and g WPP max represents an upper power limit of the wind turbine.

3. The method according to claim 1 , wherein the pre-demand-response heat load demand model is:

Q
heart
1

(

Assignees

• Univ North China Electric Power

Inventors

• Yan Min
• Jia Heping
• Liu Dunnan
• Chen Yongquan

Classifications

• H02J2101/28

  Wind energy · CPC title

• H02J2103/30

  Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

• H02J3/17

  Demand-responsive operation of AC power transmission or distribution networks · CPC title

• F03D7/048 Primary

  controlling wind farms · CPC title

• F03D7/0284

  in relation to the state of the electric grid · CPC title