Optimal Dispatch Strategy for a Multi-microgrid Cooperative Alliance Using a Two-Stage Pricing Mechanism

TL;DR

This paper introduces a two-stage pricing-based dispatch strategy for multi-microgrid alliances that improves renewable energy use, reduces costs, and enhances system efficiency through a bi-level optimization and game-theoretic approach.

Contribution

It develops a novel two-stage pricing mechanism combined with bi-level optimization for coordinated microgrid dispatch and EV tariff adjustment.

Findings

Increases renewable energy consumption.

Reduces overall energy costs.

Enhances demand response and system efficiency.

Abstract

To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strategy within a multi-microgrid cooperative alliance using a nuanced two-stage pricing mechanism. Initially, the strategy assesses electric energy interactions between microgrids and distribution networks to establish a foundation for collaborative scheduling. The two-stage pricing mechanism initiates with a leader-follower game, wherein the microgrid operator acts as the leader and users as followers. Subsequently, it adjusts EV tariffs based on the game's equilibrium, taking into account factors such as battery degradation and travel needs to optimize EVs' electricity consumption. Furthermore, a bi-level optimization model refines power interactions and pricing strategies across the network, significantly enhancing demand response capabilities and economic outcomes. Simulation results demonstrate that this strategy not only increases renewable energy consumption but also reduces energy costs, thereby improving the overall efficiency and sustainability of the system.