Title :
Procedures for definition of generation ready-reserve capacity
Author_Institution :
Fac. of Electr. & Mech. Eng., Tuzla Univ., Bosnia Herzegovina
fDate :
5/1/1998 12:00:00 AM
Abstract :
This paper describes two new methods of evaluating the generation ready-reserve (RR) capacity. RR is the part of the operating reserve which relates to cold fast start-up generating units. RR is important for the maintenance of the security and adequacy parameters. The first method is based on the stochastic-deterministic computation of the required RR in discrete time intervals. This approach takes into consideration the stochastic character of the change of load and generation possibilities in run and small accumulation hydro plants, and outages of each generator separately. The application of this method makes it clear to the power system operator how much of the ready reserve power to engage so as to compensate for the power deficit caused by outages of the generators for each discrete time interval. The second method is based on the Monte Carlo simulation procedure. It is an iterative probabilistic procedure which is fed by the indices of demand not supplied caused by any outages of generators (DNS). Carried out for each generating point (GP), i.e. for each power plant, the method results in the capacities of RR needed to compensate power deficits caused by the mentioned outages. This method can be used in determining the ways of improving a power system´s reliability indices and in planning for the generation reserve
Keywords :
Monte Carlo methods; compensation; hydroelectric generators; hydroelectric power stations; iterative methods; maintenance engineering; power system planning; power system reliability; power system security; probability; stochastic processes; Monte Carlo simulation; adequacy parameters; cold fast start-up generating units; demand not supplied; generation ready-reserve capacity; generation reserve planning; iterative probabilistic procedure; load change; maintenance; power deficit compensation; power system operator; power system reliability indices; run of river hydro plants; security; small accumulation hydro plants; stochastic-deterministic computation; Character generation; Mechanical engineering; Power generation; Power system planning; Power system reliability; Power system security; Power system simulation; Spinning; Stochastic processes; Strontium;
Journal_Title :
Power Systems, IEEE Transactions on