Reliability Evaluation with Wind Turbine Generators and an Energy Storage System for the Jeju Island Power System

Abstract

-This paper proposes probabilistic reliability evaluation model of power system considering Wind Turbine Generator(WTG) integrated with Energy Storage System(ESS). Monte carlo sample state duration simulation method is used for the evaluation. Because the power output from WTG units usually fluctuates randomly, the power cannot be counted on to continuously satisfy the system load. Although the power output at any time is not controllable, the power output can be utilized by ESS. The ESS may make to smooth the fluctuation of the WTG power output. The detail process of power system reliability evaluation considering ESS cooperated WTG is presented using case study of Jeju island power system in the paper.

Reliability evaluation of power system considering wind generators coordinated with multi‐energy storage systems

“…5 shows the conventional model, and Fig. 6 shows the new proposed model for the power system including multi‐WTG and multi‐ESS in this paper [1, 18, 19].…”

“… Step 2 : The ratio of the wind power that can be supplied and used is estimated according to the load and the ratio of the wind power stored in the ESS. In the simulation process, the surplus wind generation SG w k [MW] and the obligation output ratio can be either ( + ) or ( − ) [1, 18, 19] where SG w k is the surplus generation of the WTG at the k th state [MW]; SG c k is the surplus generation of the CG at the k th state [MW], TG w i,k is the total capacity of the i th WTG at the k th state [MW], TG c i,k is the total capacity of the i th CG at the k th state [MW], X i % is the percentage of a wind power dispatch restriction to power load of the i th WTG [pu], L k is the load at the k th state [MW]. It is assumed that if SG w k is positive ( + ), the WTG cannot exceed X i % × L k to supply to the load. If SG c k is negative ( − ), the ESS should be discharged so that even if there is excess output, it shall not charge the ESS. ES i,k [MWh] represents the energy stored in the ESS, the energy variation of the ESS, and the discharge energy TG D i,k [MWh] of the ESS time series, which can be obtained using (12)–(14), respectively …”

“…Step 2 : The ratio of the wind power that can be supplied and used is estimated according to the load and the ratio of the wind power stored in the ESS. In the simulation process, the surplus wind generation SG w k [MW] and the obligation output ratio can be either ( + ) or ( − ) [1, 18, 19] where SG w k is the surplus generation of the WTG at the k th state [MW]; SG c k is the surplus generation of the CG at the k th state [MW], TG w i,k is the total capacity of the i th WTG at the k th state [MW], TG c i,k is the total capacity of the i th CG at the k th state [MW], X i % is the percentage of a wind power dispatch restriction to power load of the i th WTG [pu], L k is the load at the k th state [MW].…”

A Novel Operation of Regional Power Grids in China: The Generator Voltage-Class-Reduction Scheme

“…2) Operation status analysis. Many research analysed the operating status of generator units from the perspective of reliability and safety [12]- [14]. For example, reference [15] established a transfer function model to evaluate the dynamic performance of the wind generator system.…”