Bilayer game strategy of regional integrated energy system under multi‐agent incomplete information

In view of the high coupling degree of regional integrated energy system, a bilayer interaction strategy, consisting of energy suppliers, distribution networks, and users, is proposed. Game interaction strategy includes two aspects: scheduling and bidding. The independent system operator (ISO) coordinates all adjustable resources. Depending on the quotation price and multi‐energy load prediction, ISO minimises the total energy cost, which realises the complementary of the multi‐energy in the cooperative game. Under the assumption of incomplete information and bounded rationality, this study designs bidding functions and pay‐as‐bid settlement protocols. On this basis, according to history scheduling data and units’ characteristics, agents for energy suppliers pursue maximum interests. Also, the non‐cooperative bidding process in multi‐energy market is simulated by using Q ‐learning algorithm. Finally, the evolutionary process of the bilayer competitive game model is studied by practical example, and the existence local Nash equilibrium of the strategy is also proven.