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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12159090 B1

PDFFull Text
Date of Patent:
Dec. 03, 2024

Filed:

Jun. 04, 2021

Optimal allocation method for stored energy coordinating electric vehicles to participate in ancillary service market

Applicants:

North China Electric Power University, Beijing, CN;

State Grid Electric Vehicle Service Ltd., Beijing, CN;

Inventors:

Dunnan Liu, Beijing, CN;

Mingguang Liu, Beijing, CN;

Xiaofeng Peng, Beijing, CN;

Heping Jia, Beijing, CN;

Wen Wang, Beijing, CN;

Lingxiang Wang, Beijing, CN;

Mengjiao Zou, Beijing, CN;

Yue Zhang, Beijing, CN;

Ye Yang, Beijing, CN;

Shu Su, Beijing, CN;

Desheng Bai, Beijing, CN;

Assignees:

North China Electric Power University, Beijing, CN;

State Grid Electric Vehicle Service Ltd., Beijing, CN;

Attorney:
Primary Examiner:

John E Johansen

Int. Cl.
CPC ...
G06F 30/27 (2020.01); B60L 58/10 (2019.01); B60L 58/14 (2019.01); B60L 58/16 (2019.01); G06F 30/25 (2020.01); G06F 119/06 (2020.01); G06N 3/006 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0635 (2023.01); G06Q 50/06 (2024.01); H02J 3/32 (2006.01); B60L 55/00 (2019.01); G06F 111/06 (2020.01); G06F 111/08 (2020.01); G06Q 10/04 (2023.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); B60L 58/10 (2019.02); B60L 58/14 (2019.02); B60L 58/16 (2019.02); G06F 30/25 (2020.01); G06N 3/006 (2013.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06Q 10/06313 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/0635 (2013.01); G06Q 50/06 (2013.01); H02J 3/322 (2020.01); B60L 55/00 (2019.02); B60L 2260/42 (2013.01); G06F 2111/06 (2020.01); G06F 2111/08 (2020.01); G06F 2119/06 (2020.01); G06Q 10/04 (2013.01); Y02E 60/00 (2013.01); Y02T 10/70 (2013.01); Y04S 10/126 (2013.01);
Abstract

The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.

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