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Summary: Renewable energy such as wind power plays an important role in power generation. Large amount of renewable energy can allow these producers to change the market price and be as a price maker in the market. Thus, we propose an optimal bidding strategy in the day‐ahead market for the hybrid power plant that participates as a price maker in the day‐ahead market and as a price taker in the balancing market. Hybrid power plant is composed of wind power producer, battery storage and demand response. The uncertainty of day‐ahead market price is modeled through Robust Optimization. In case studies, bidding strategy of hybrid power plant as a price maker and price taker configuration is presented. Then, joint operation of hybrid power plant is compared to disjoint operation and the effect of participating in market as coordinated unit on total profit is investigated. Moreover, the changes in profit according to risk level are determined and finally, offering curves are obtained by dividing the confidence bounds of day‐ahead market price to some subintervals. The simulation is done based on Nord Pool Market and the results validate hybrid power plant can behave as a price maker in the day‐ahead market and the profit of all units increases in joint operation. [ABSTRACT FROM AUTHOR]

This study proposes new metrics for evaluating the resiliency index specific to the generation sector by considering the factors that affect the generation sector, such as location, capacity, number, and density of units and critical loads. These indexes can be useful for pre-crisis action (PCA). By calculating and considering these indexes before any installation or expansion of the generation sector, the destructive effects of extreme events can be greatly reduced. In fact, the main purpose of this study is not to increase the level of the resiliency of the generation sector, but to only propose new indexes for calculating the resiliency. For this study, firstly, the factors that impact the resiliency of generation will be discussed, secondly, for each index, the calculation formula will be presented. Then, resiliency is calculated in the generation sector as a composite resiliency index, which is a combination of all indexes. For validation of these indexes, a criterion such as loss of critical load factor is introduced and case studies are performed based on the IEEE six-bus and IEEE RTS-24-bus systems for different scenarios. The results show that the proposed indexes can effectively evaluate the resiliency of the generation sector. [ABSTRACT FROM AUTHOR]