# US 12,118,483 B2 · Multi-device site selection method for integrated energy virtual power plant

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- Number: US 12,118,483 B2
- Document ID: US12118483B2
- Status: Granted
- Kind: B2
- Application number: 17/633,343
- Filed: 2021-05-10
- Published: 2023-08-03
- Granted: 2024-10-15
- Earliest claimed: 2021-03-17
- Assignees: Southeast University
- Applicants: Southeast University
- Inventors: Jie Yu; Xinsen Zhang; Yang Li
- Web page: https://patentgrep.com/patent/US12118483B2

## CPC

- G06Q 10/04: 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)
- G05B 17/02: electric
- G05B 19/042: using digital processors (G05B19/05 takes precedence)
- G05B 2219/2639: Energy management, use maximum of cheap power, keep peak load low
- Y04S 10/50: Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

## Abstract

The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.

## Claims

### Claim 1

A multi-device site selection method for an integrated energy virtual power plant, comprising:
step 1: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network;
step 2: under a condition that capacity of a device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and
step 3: determining an installation location of the device of the integrated energy virtual power plant in the energy network, and determining an operating state of the device.

### Claim 2 (depends on 1)

The multi-device site selection method for an integrated energy virtual power plant according to claim 1, wherein in the multi-device site selection optimal planning model of the integrated energy virtual power plant, a device site selection state and a device operating state are taken as decision variables.

### Claim 3 (depends on 1)

The multi-device site selection method for an integrated energy virtual power plant according to claim 1, wherein the calculation method is:
Et=Eet+Eht, (1)
in the formula, Et represents the comprehensive energy flow distribution entropy of the power distribution network and the heat distribution network at a moment t; Eet represents an energy flow distribution entropy in the power distribution network at the moment t; and Eht represents an energy flow distribution entropy in the heat distribution network at the moment t;
E
e
t
=
-
∑
l
=
1
N
l
Δ
⁢
P
l
,
t
Δ
⁢
P
total
l
,
t
⁢
ln
⁡
(
Δ
⁢
P
l
,
t
Δ
⁢
P
total
l
,
t
)
(
2
)
in the formula, Nl represents a total quantity of branches of the power distribution network; l represents a serial number of a branch; ΔPl,t represents an active power for transmission on the branch l at the moment t; and ΔPtotall,t represents an active power for transmission in the entire power distribution network at the moment t; and
E
h
t
=
-
∑
p
=
1
N
p
Δ
⁢
m
p
,
t
Δ
⁢
m
total
p
,
t
⁢
ln
⁡
(
Δ
⁢
m
p
,
t
Δ
⁢
m
total
p
,
t
)
(
3
)
in the formula, Np represents a total quantity of pipelines of the heat distribution network; p represents a serial number of a pipeline; Δmp,t represents a flow for transmission on the pipeline p at the moment t; and Δmtotal p,t represents a flow for transmission in the entire heat distribution network at the moment t.

### Claim 4 (depends on 1)

The multi-device site selection method for an integrated energy virtual power plant according to claim 1, wherein a typical daily load in a planning period is selected, and a final planning solution is determined according to a state of the typical daily load.

### Claim 5 (depends on 1)

The multi-device site selection method for an integrated energy virtual power plant according to claim 1, wherein the multi-device site selection optimal planning model of the integrated energy virtual power plant comprises one or more of a device operating constraint, an energy storage operating constraint, an electrical load requirement constraint, a thermal load requirement constraint, a device site selection state constraint, an equivalent load state constraint, a branch power transmission constraint, a pipeline flow transmission constraint, and a total power transmission constraint of the power distribution network.

### Claim 6 (depends on 1)

The multi-device site selection method for an integrated energy virtual power plant according to claim 1, wherein an objective function of the multi-device site selection optimal planning model of the integrated energy virtual power plant in the step 2 is:
max
⁢
1
T
⁢
∑
t
=
1
T
E
t
=
max
⁢
∑
t
=
1
T
(
E
e
t
+
E
h
t
)
in the formula,
1
T
⁢
∑
t
=
1
T
E
t
represents an average value of the comprehensive energy flow distribution entropy in an entire dispatching period.

### Claim 7 (depends on 1)

A computer-readable storage medium, storing instructions, wherein the instructions, when running, implement the site selection method according to claim 1.