Title :
Research on integrated evaluation framework of probabilistic adequacy and stability of composite power systems
Author :
Ming, Ding ; Sheng-hu, Li
Author_Institution :
Sch. of Electr. & Autom. Eng., Hefei Univ. of Technol., China
Abstract :
This paper applies Monte-Carlo sampling method in reliability evaluation of composite power system. Performance of the system is studied in both static and dynamic aspects on the basis of detailed modeling of state of all the elements. The main work includes element state sampling, network topology analysis, load flow calculation, step-by-step (SBS) transient simulation, real power generation re-dispatching, reactive power and voltage correction, and introduction of various emergency control measures (ECMs) and security and economic strategy. It constructs integrated framework and risk index system of composite power system evaluation.
Keywords :
Monte Carlo methods; load flow; power generation dispatch; power system control; power system reliability; power system stability; power system transients; probability; reactive power control; voltage control; Monte-Carlo sampling method; composite power system reliability evaluation; composite power systems adequacy; composite power systems stability; dynamic aspects; economic strategy; element state sampling; emergency control measures; load flow calculation; network topology analysis; probabilistic adequacy; reactive power correction; real power generation re-dispatching; risk index system; security strategy; static aspects; step-by-step transient simulation; voltage correction; Power generation economics; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system security; Power system simulation; Power system stability; Power system transients; Sampling methods;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1047145
