US 11,949,234 B2
Method for making spatio-temporal combined optimal scheduling strategy of mobile energy storage (MES) system
Shiqian Ma, Tianjin (CN); Bin Wu, Tianjin (CN); Yun Liu, Tianjin (CN); Xianxu Huo, Tianjin (CN); Yi Ding, Tianjin (CN); Lei Wu, Tianjin (CN); and Tianhao Wang, Tianjin (CN)
Assigned to Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company, Tianjin (CN); State Grid Tianjin Electric Power Company, Tianjin (CN); and State Grid Corporation of China, Beijing (CN)
Filed by Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company, Tianjin (CN); State Grid Tianjin Electric Power Company, Tianjin (CN); and State Grid Corporation of China, Beijing (CN)
Filed on Nov. 12, 2021, as Appl. No. 17/525,862.
Application 17/525,862 is a continuation in part of application No. PCT/CN2021/113907, filed on Aug. 20, 2021.
Claims priority of application No. 202011579799.6 (CN), filed on Dec. 28, 2020.
Prior Publication US 2022/0209533 A1, Jun. 30, 2022
Int. Cl. H02J 3/00 (2006.01); H02J 3/08 (2006.01)
CPC H02J 3/0073 (2020.01) [H02J 3/003 (2020.01); H02J 3/08 (2013.01)] 2 Claims
OG exemplary drawing
 
1. A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system, comprising the following steps:
step 1: inputting data of a power system, a traffic system, and an MES system, specifically comprising: a line parameter, load data, generator data, and a topological structure of the power system, a road parameter and a topological structure of the traffic system, a quantity of MES vehicles, a capacity of an MES battery, an upper limit of output active power, an upper limit of output reactive power, upper and lower capacity limits of the battery, charging and discharging efficiency of the battery, and an average traveling speed of an MES vehicle;
step 2: setting a time interval Δt, and initializing a time interval counter N to 0 and initial time t to 0;
step 3: inputting real-time fault, traffic, and MES data, specifically comprising: a position of a power line fault, expected repair time, a road congestion coefficient of the traffic system, and a real-time position and battery capacity of the MES vehicle;
step 4: optimizing and solving an optimal regulation model of the MES system, and delivering regulation decision instructions of the MES system, comprising a path instruction and a power instruction; regulate the MES system based on the regulation decision instructions; and
step 5: if the fault still exists after NΔt, setting N=N+1, and returning to step 3; otherwise, terminating a process of making a scheduling strategy.