Adaptive sensing algorithm for photovoltaic solar heat pump heating situation

The operation status changes of photovoltaic solar heat pump heating system are real-time and complex, which leads to significant lag in the response results of photovoltaic solar heat pump system. Therefore, an adaptive perception algorithm for photovoltaic solar heat pump heating situation is proposed. Construct a master-slave game model with the uncertainty of photovoltaic solar power generation and heat pump load as inputs. And using particle swarm optimization algorithm to solve the objective function, the adaptive perception result of photovoltaic solar heat pump heating situation is obtained. Based on the perception result, the strategy is continuously adjusted to achieve adaptive perception of photovoltaic solar heat pump heating situation. The experimental results show that the photovoltaic solar heat pump system with the proposed algorithm has high photoelectric power and high accuracy in adaptive perception of heating situation.