The Capacity-to-load ratio optimization method considering collaborative planning of multi-voltage level power grids

Abstract

Abstract The capacity-to-load ratio is an important indicator to guide power grid planning and has a decisive influence on the selection of substation capacities and the construction of power lines. A capacity-to-load ratio optimization method concerning collaborative planning of multi-voltage level power grids is proposed in this paper. This method aims to minimize the construction cost and takes into account the collaborative planning of substations and power lines of multiple voltage levels. By combining the Bayesian optimization algorithm (BOA) and genetic algorithms (GA), a BOA-GA solving algorithm for the planning model is proposed. This algorithm automatically generates planning schemes for multi-voltage level power grids, and obtains the optimal capacity-to-load ratio, as well as the optimal investment of the power grid construction. Case studies demonstrate that the proposed model can optimize the capacity-to-load ratio and automatically plan the network structure of multi-voltage level power grids. The construction cost is significantly reduced while various technical indicators are satisfied. Additionally, the study reveals that the relationship between the capacity-to-load ratio and the overall investment of multi-voltage level power grid construction is a quadratic function over a long-time scale. And the curve is a parabola going upwards.