Real-Time Pricing-Based Scheduling Strategy in Smart Grids : A Hierarchical Game Approach

Abstract EN

This paper proposes a scheduling strategy based on real-time pricing in smart grids.

A hierarchical game is employed to analyze the decision-making process of generators and consumers.

We prove the existence and uniqueness of Nash equilibrium and utilize a backward induction method to obtain the generation and consumption strategies.

Then, we propose two dynamic algorithms for the generators and consumers to search for the equilibrium in a distributed fashion.

Simulation results demonstrate that the proposed scheduling strategy can match supply with demand and shift load away from peak time.