Method and device for controlling portable energy storage system

Patent metadata

Field	Value
Publication number	US-2022366516-A1
Application number	US-202117490679-A
Country	US
Kind code	A1
Filing date	Sep 30, 2021
Priority date	May 6, 2021
Publication date	Nov 17, 2022
Grant date	—

Abstract

A method for controlling a portable energy storage system (PESS) includes: creating a decision optimization model for the PESS, which includes an objective function for maximizing available compensation of the PESS in the region to be applied; solving the decision optimization model to obtain a feasible solution that meets the objective function; and determining at least one of an energy charging and discharging decision, a travel decision, and an energy storage unit loading decision of the PESS in a region to be applied based on the feasible solution, and controlling operations of the PESS in the region to be applied based on at least one of the determined energy charging and discharging decision, the determined travel decision and the determined energy storage unit loading decision.

First claim

What is claimed is:

1 . A method for controlling a portable energy storage system (PESS), comprising:
creating a decision optimization model for the PESS, in which the decision optimization model is related to at least one of an energy charging and discharging decision, a travel decision, and an energy storage unit loading decision of the PESS in a region to be applied, and the decision optimization model includes an objective function for maximizing available compensation of the PESS in the region to be applied; solving the decision optimization model to obtain a feasible solution that meets the objective function; and determining at least one of the energy charging and discharging decision, the travel decision, and the energy storage unit loading decision of the PESS in the region to be applied based on the feasible solution, and controlling operations of the PESS in the region to be applied based on at least one of the determined energy charging and discharging decision, the determined travel decision and the determined energy storage unit loading decision.

2 . The method of claim 1 , wherein the objective function is determined based on a total compensation obtained by the PESS in the region to be applied charging and discharging energy, a transportation loss caused when the PESS is operated to move between different nodes in the region to be applied, and an aging loss caused by energy use of the PESS.

3 . The method of claim 2 , wherein the decision optimization model further comprises energy constraints for an energy capacity of the PESS, power output constraints for a power capacity of the PESS, and travel time constraints for an operation time of the PESS.

4 . The method of claim 2 , wherein the objective function is expressed as:

max

P

n
,
h

dis

,

P

n
,
h

cha

,

γ

n
,

n
′

,
h

Y
t

=

max

P

n
,
h

dis

,

P

n
,
h

cha

,

γ

n
,

n
′

,
h

(

R
t

-

C
t
tr

-

C
t
d

)

where n and n′ represent a node index, h represents a time index, Y t represents available compensation of the PESS in the region to be applied, R t represents the total compensation, C t tr represents the transportation loss, C t d represents the aging loss, P n,h dis represents the energy discharging of the PESS at the node n and the time h P n,h cha represents the energy charging of the PESS at the node n and the time h, and γ n,n′,h represents whether the PESS moves from the node n to the node n′ at the time h.

5 . The method of claim 4 , wherein the total compensation is determined by an equation of:

R
t

=

∑

h
∈

[

t
,

t
+

Δ
⁢
t

]

∑

n
∈

Ω
n

[

λ

n
,
h

(

P

n
,
h

dis

-

P

n
,
h

cha

)

⁢
Δ
⁢
h

]

where Δh represents a dispatch time scale, t represents a date index, Δt represents a decision application duration, λ n,h represents a locational marginal price at the node n and the time h, and Ω n represents a set of nodes to which the PESS will be shared.

6 . The method of claim 4 , wherein the transportation loss is determined by an equation of:

C
t

t
⁢

Assignees

• Univ Tsinghua

Inventors

• He Guannan
• Chen Qixin
• Zhang Da
• Whitacre Jay

Classifications

• G06Q10/04 Primary

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

• G06Q50/06 Primary

  Energy or water supply · CPC title

• B60L50/90

  using propulsion power supplied by specific means not covered by groups B60L50/10 - B60L50/50, e.g. by direct conversion of thermal nuclear energy into electricity · CPC title

• B60L2240/54

  related to batteries · CPC title

• B60L58/12

  responding to state of charge [SoC] · CPC title