This study is described an algorithm for probabilistic production cost and reliability credit evaluation of wind turbine generators(WTG) with multi-state and aims to analysis the reliability of wind power generator in Jeju Island power system in order...
This study is described an algorithm for probabilistic production cost and reliability credit evaluation of wind turbine generators(WTG) with multi-state and aims to analysis the reliability of wind power generator in Jeju Island power system in order to maintain the operational state of power system at the reliability criterion level.
An analysis on generated capacity of wind power generator with Tamla offshore wind farm, which owned by KOEN(Korea South-East Power Co.Ltd.) and without Tamla offshore wind farm has been done in terms of Effective Load Carrying Capability(ELCC) and Capacity Credit(C.C.) in power system from the perspective of Loss of Load Expectation(LOLE).
This paper proposes that case studies in this paper demonstrate how it changes the ELCC and the C.C.
in addition of economic feasibility according to the Tamla offshore wind farm probabilistic in Jeju island also depending on variation of wind speed, is studied the total production cost, average production cost, CO2 emission and CO2 emission cost reduction.
These are also evaluated in view point of contribution of economics and environment.