Visual Market equilibrium model for power seller multi-microgrid based on a graphic game

Microgrids (MGs) have characteristics of flexibility and intelligence. These grids provide potential for integrating renewable energy sources. Hybrid Microgrids make possible to manage complementary between sources and storage schemes, enabling exploration of stronger commercial impact of these energy producing stations. This paper proposes a new market model of equilibrium operation for MGs in local energy markets. MGs remotely located in the grid are virtually associated to compete with other MGs better located. The model meets the interests of the MGs by remuneration of the delivered power and the other stakeholders via loss reduction. A deterministic method based on reduction of the constraint set size and application of Karush-Kuhn-Tucker (KKT) conditions process visually the Nash equilibrium (NE) and the Pareto efficiency (PE). The non-cooperative static game has the ability to encourage the participation of small agents in the grid.