Planning of Microgrid Based on Information Gap Decision Theory

Abstract

At present, more electric vehicles are connected to the microgrid, and with the increase in load uncertainty, it can no longer meet the new demand. In order to establish a microgrid considering the long-term load growth at the planning level, this paper analyzes the economic cost of microgrid planning. Aiming at the uncertainty of the long-term load growth, the information gap decision theory is used to simulate and coordinate the microgrid planning. Finally, the calculation example based on an industrial park verifies that the proposed planning model can help planning decision-makers cope with uncertainty at the optimal cost, and studies the impact of electricity prices on planning.