Abstract
With the implement the new power system reform, the competition in the electricity sales market is becoming increasingly fierce, and electricity retailers need to adopt effective operating strategies to increase revenue. Electricity sales companies face the risk of electricity price uncertainty when participating in the spot market. Sampling and scenario reduction methods are used to obtain random scenarios of electricity prices and loads. Conditional value-at-risk (CVaR) is introduced and scenario analysis is used to evaluate the market analysis of electricity retailers. An optimization model for electricity purchase by electricity retailers in day-ahead market was established, and the bidding curve was optimized. Electricity retailers can stabilize revenue and avoid risks by increasing power purchases in day-ahead market during peak period and using interruptible loads.
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