Evaluation Of Power System Reliability Magin

With economic growth, power to the remote, high pressure and even the direction of the development of UHV faster and faster, the network increasingly large scale, structure and sophistication. Interconnection power system has made great benefits, but also bear greater risks, deterministic criterion in bulk power system planning and operation by the many restrictions, so need some new methods and ideas to fully reflect the state power grid, such as the need to consider the power of some random events. This paper studies establish the reliability reference cases off-line based on Monte Carlo simulation (ie, scale of reliability margin),then compared new operational status with the reference cases in order to assess the new status reliability margin. And based on the direct Monte Carlo simulation added variance reduction technique, that is related to correlated sampling, antithetic sampling, dagger sampling three methods, making the simulation faster. And analyzed the annual target reliability index under the established classification of the load model, the model used in the calculation allows the calculation of more accurate indicators.In this paper,at last use the index of network equilibrium entropy to assess system reliability. The index is an important function of the system by calculating the degree of importance and structure of a combination of both to get, it can reflect the overall balance of power system network. The greater entropy the higher of the degree of network equilibrium, the more balanced load distribution network, at this time if the system is part of the system component failure will not bring too much loss, so the greater the reliability of the system margin. Combination Entropy of the network with the previous expectation of a balanced energy not supplied EENS on IEEE-24 bus test case for reform and expansion. Through data analysis, the introduction of the indicators in assessing provide more detailed information for the operator to judge.