Abstract
With the increasing penetration of renewable resources and the retirements of conventional coal-fired generation units, power systems are undergoing significant transformation with the instantaneous renewable generation penetration sometimes approaching over 50 percent of the demand. This transformation makes the need for comprehensive reliability assessment critical to properly account for the composite system adequacy and the sufficiency of essential reliability services (ERSs). This paper introduces a probabilistic approach to evaluate the reliability of wind power integrated power systems considering ERSs including frequency and voltage support, in conjunction with resource adequacy. To consider stochasticity in system operating conditions, the proposed approach utilizes sequential Monte-Carlo Simulation (SMCS) as the probabilistic analysis methodology and formulates probabilistic reliability metrics representing the composite system adequacy and the ERSs. The proposed approach and metrics are demonstrated on a synthetic test system. Simulation results illustrate the efficacy of the proposed approach and its importance in analyzing the impact of increasing wind power penetration as well as wind turbine generators (WTGs) providing ERSs on system reliability.
Highlights
P OWER system reliability consists of two fundamental elements of adequacy and operating reliability [1]
SIMULATION RESULTS Simulations were conducted on the test system to illustrate the proposed approach
The hourly wind speed data is obtained from the National Renewable Energy Laboratory (NREL), National Wind Technology Center Information Portal [27]
Summary
P OWER system reliability consists of two fundamental elements of adequacy and operating reliability [1]. Reference [18] addressed the importance of detailed studies to measure the impacts of resource mix changes on system reliability, ERSs. Suggestions are presented in the paper to utilize new approaches to evaluate reliability and ERSs based on probabilistic analysis in conjunction with system adequacy. This is achieved by considering the high share of renewables by evaluating reliability from both steady-state and dynamic perspectives This is accomplished by modeling frequency and voltage control of WTGs and frequency and voltage associated protection actions in TDSs. The approach is formulated in the SMCS framework and considers the stochastic factors in system operating conditions, i.e., chronological renewable resource uncertainty, load variations, and component failures.
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