Title :
Boundary load flow solutions
Author :
Dimitrovski, Aleksandar ; Tomsovic, Kevin
Author_Institution :
Sch. of Electr. Eng., Univ. "Sv. Kiril i Metodij", Skopje, Macedonia
Abstract :
The load flow is one of the most fundamental tools used in power system analysis. The need for a load flow approach, which would incorporate uncertainty into the solution process, has been long recognized. The boundary load flow finds solutions given uncertain nodal powers. Here, a new concept for finding accurate boundary load flow solutions given fuzzy/interval numbers is presented. Extending an idea from probabilistic load flow, an optimization procedure for implicitly defined functions is introduced. Test systems are used for performance evaluation and comparison between the new method and extant methods that give approximate solutions.
Keywords :
Jacobian matrices; Monte Carlo methods; fuzzy set theory; load flow; optimisation; power system planning; probability; Jacobian matrices; Monte Carlo simulation; boundary load flow; convergence; fuzzy numbers; fuzzy sets; interval numbers; optimization procedure; performance evaluation; power system analysis; power system planning; probabilistic load flow; uncertain nodal powers; vector functions; Fuzzy sets; Input variables; Load flow; Load flow analysis; Power system analysis computing; Power system planning; Probability distribution; Random variables; System testing; Uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2003.821469