Title :
Total supply capability for city distribution systems based on the probability load growth
Author :
Zhiqiang Wang ; Shengguo Wu ; Wenxia Liu ; Wenguang Ding
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
This study, considering the probability load growth and load distribution imbalance, proposes a mathematical model for city total supply capability (CTSC). First, it introduces the concepts to CTSC and available load supply capability (ALSC); second, using multi-scenario method to analyze the future load, so it could get some possible load scenarios; then the model is translated into linear constrained optimization method to calculate CTSC under each scenario. So it could get CTSC with the scenarios´ probability, which is most suitable one for the probability load growth and the load distribution; finally, the results from a real distribution system testify the effectiveness of the proposed model.
Keywords :
electricity supply industry; linear programming; load flow; power distribution planning; probability; ALSC; CTSC; available load supply capability; city distribution system; city total supply capability; linear constrained optimization method; load distribution imbalance; mathematical model; multiscenario method; probability load growth; Asia; Capacity planning; Cities and towns; Joining processes; Load modeling; Power supplies; Substations; City total supply capability; Load probability; Multi-scenario method; Probability load growth; Uncertainty; the N-1 security standard;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
Conference_Location :
Kuala Lumpur
DOI :
10.1109/ISGT-Asia.2014.6873817