Energy transition decision support method based on technology-economy-real participant-computer agent interactive simulation

Abstract

The invention discloses an energy transition decision support method based on technology-economy-real participant-computer agent interactive simulation, and belongs to the technical field of energy planning. According to the invention, the method comprises the steps: adding a transition decision of a real participant to a quantitative energy system technology-economy model; taking the decision making behaviors of the real participant and computer agent as the input quantity of an objective technology-economy model, and adjusting the decision of a next stage through taking a simulation result as the basis under the drive of the behavior decision making of a former stage, so as to reflect the interaction influence of the technology-economy-multiple-side game behaviors in the time track of the simulation result. The method can reduce the adverse effect caused by the deviation of the computer agent in simulating the behaviors of an important role, and gives consideration to the advantagesof the real participant and the computer agent in simulating the behaviors of a person.

Description

technical field [0001] The invention belongs to the technical field of energy planning, and in particular relates to an energy transition decision support method based on technology-economy-real participant-computer agent interactive simulation. Background technique [0002] Facing pressures such as resource depletion, environmental pollution, and climate change, the transition to clean energy in my country and the world has become an irreversible trend. [0003] Since the issue of energy transition is not only a technical-economic issue, it is also affected by the behavior of individual participants, as well as factors such as policies and regulations. Therefore, the corresponding research methods should not only take into account the objective physical and economic laws such as energy system operation and market mechanism, but also include the subjective decision-making behavior of energy system related personnel. [0004] At present, there are a variety of methods to sup...

AI Technical Summary

Problems solved by technology

However, it is often biased to evaluate the cost / benefit of an energy project in isolation because it cannot take into account the energy environment of the entire country / region and the decisions of other actors

However, the current research on national energy transformation fails to involve the evaluation of energy companies’ income and investment attractiveness. The simulation and quantitative research that completely focuses on the transformation of energy companies as the research theme is a tool to support the decision-making of enterprise transformation strategy makers. almost blank

Images