US 12,224,589 B2
Operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services
Ning Zhang, Beijing (CN); Jingkun Liu, Beijing (CN); Yi Wang, Beijing (CN); and Chongqing Kang, Beijing (CN)
Assigned to TSINGHUA UNIVERSITY, Beijing (CN)
Filed by Tsinghua University, Beijing (CN)
Filed on May 25, 2022, as Appl. No. 17/824,113.
Application 17/824,113 is a continuation of application No. PCT/CN2020/074192, filed on Feb. 3, 2020.
Claims priority of application No. 201911191015.X (CN), filed on Nov. 28, 2019.
Prior Publication US 2022/0294224 A1, Sep. 15, 2022
Int. Cl. H02J 3/28 (2006.01); G05B 19/042 (2006.01); H02J 3/00 (2006.01)
CPC H02J 3/28 (2013.01) [G05B 19/042 (2013.01); H02J 3/003 (2020.01); G05B 2219/2639 (2013.01); H02J 2203/20 (2020.01)] 7 Claims
 
1. An operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services, comprising:
establishing a model predictive control model, wherein the model predictive control model includes an objective function representing a minimization of a sum of an operating cost generated by a centralized energy storage facility during a current period t and an expected operating cost generated within a predetermined time range Tt, and constraint conditions including charge and discharging power constraints, minimum power constraints of the centralized energy storage facility, electricity constraints of the centralized energy storage facility, and electricity constraints of the centralized energy storage facility in adjacent periods;
obtaining, by a cloud energy storage service provider, operating parameters of the current period t from a grid control center at a beginning of a current decision-making cycle;
predicting, by the cloud energy storage service provider, operating parameters within the predetermined time range based on historical data;
obtaining decision variables according to the model predictive control model, the operating parameters of the current period and the operating parameters within the predetermined time range;
setting, by the cloud energy storage service provider, a charging power of the centralized energy storage facility in the current period t and a discharging power according to the decision variables, so as to enable the centralized energy storage facility to work according to the charging power and the discharging power;
obtaining, by the cloud energy storage service provider, an actual power of the centralized energy storage facility at an end of the current period t through sensors installed on the centralized energy storage facility as a parameter for a next decision period.