DYNAMIC SIMULATION OF ELECTRICITY PRICING BASED ON MULTI-AGENT

Under the Smart Grid framework, a significant amount of attention has been directed toward the demand-side resources. Price, as an effective means of economic regulation, can be adjusted to affect consumers' ways and habits of the use of electricity, thus is improving the distribution of power flow in the time scale and ensuring the security and efficiency of power system. Multi-agent technology provides a good technical support for electricity pricing involving multiple stakeholders through mutual coordination and collaboration between each agent. In this article, we design a Multi-agent simulation system using MAGE platform. The Multi-agent simulation system includes a regional power company agent and several types of consumer agents. Through the power grid and the users' interactive dynamic simulation, the research provides a feasible method for Power Company to make reasonable price policies.