Abstract: To solve the lack of flexibility, transparency, and supervisability in the centralized trading model of traditional energy, and to meet the new requirements for marketization and flexible pricing of electricity transactions among various entities in the new power system, a blockchain-based electricity trading model and game theoretic pricing method are proposed. This electricity trading model possesses advantages such as distribution, decentralization, immutability, and encrypted security. Firstly, a blockchain-based electricity trading model is established to coordinate the production and consumption behaviors among entities involved in generation, supply, and consumption, forming a unified market mechanism. Secondly, a game-theoretic multi-time scale electricity trading bidding mechanism is proposed, utilizing ant colony optimization（ACO） algorithm to find the optimal bidding price for each hour. Finally, the trading model and game theoretic pricing method are verified through simulation, optimizing the profits of each party under incentive policies. The results demonstrate that the trading model and pricing method can effectively balance the benefits of various market participants in the context of renewable energy participation, and the blockchain-based smart contract enables the intelligence, transparency, and traceability of the electricity trading process.