The application discloses a power spot market bidding decision-making method considering bias assessment, and belongs to the technical field of
power market transaction decision-making. The method comprises the following steps: acquiring benchmark transaction parameters of arbitrage bidding and market bias income
recovery rules; constructing a settlement net income model of arbitrage bidding, wherein the net income model models the bias income
recovery rules as a function affecting net income; constructing a distribution
robust optimization model considering market
price difference prediction uncertainty, wherein the distribution
robust optimization model is based on the net income model and takes arbitrage bidding quantity as a decision variable; and solving the distribution
robust optimization model to output the optimal arbitrage bidding quantity. The application embeds market segmented bias income
recovery rules in the decision-making model, and adopts a distribution robust optimization framework to cope with uncertainty, thereby achieving the technical effect of significantly improving decision-making robustness and income calculation accuracy under the premise of strict compliance.