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Title Wind power integration on power system reliability and operating reserve capacity / by Su Wang.
Name Wang, Su. .
Abstract In addition, the traditional reliability evaluation methods are not applicable to the proposed power system containing HPS and wind power. Therefore, the probability-based reliability assessment method and the reliability cost-benefit analysis method are improved based on the operating characteristics of the proposed power system. These two assessment methods are used to analyze and verify the validity of the two control strategies in improving the reliability of a wind-powered system.
Abstract The proposed method was finally applied to the actual power system to analyze the proposed method for improving the reliability of the existing system. The evaluation results show that the proposed method not only can meet the requirements of system reliability but also can reduce the wind curtailment rate to the level required by the system.
Abstract The proposed strategy 2 is applied to three different test systems, and comprehensive analysis in terms of long-term planning and daily operation of the power system at different wind penetration levels is conducted. Simulation experimental results in Chapter 5 show that strategy 2 is more effective than strategy 1 in improving power system reliability. The results in Chapter 6 proved that the WP-HPS cooperation (strategy 2) method can improve the reliability of the power system with a wind penetration level not exceeding 40% to the original level.
Abstract This thesis proposes a WP-HPS cooperation method which utilizes Hydro Pumped Storage (HPS) to cooperate with wind power in order to reduce the impact of wind power characteristics on system reliability, smooth output fluctuation of conventional generation units and maintain system reliability at a required level. Based on the output characteristics of each power generation unit, two control strategies for wind power and pumped storage power stations are proposed.
Publication date 2020
Name Lo, K. L., degree supervisor.
Name University of Strathclyde. Department of Electronic and Electrical Engineering.
Thesis note Thesis PhD University of Strathclyde 2020 T15756
System Number 000006241

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