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.