Maximum Hosting Capacity Evaluation of Renewable Energy for Regional Power Systems Considering Multiple Scenarios

With the large-scale access of renewable energy, the power fluctuation characteristics of regional power grids are increasing, resulting in a threat to operational security. In this context, an evaluation method for the hosting capacity of renewable energy in regional power grids is proposed. First, comprehensively taking into account the coordinated operation of sources, networks, loads, and storage, the evaluation model is established with the objective function of maximizing renewable energy hosting capacity within a multi-scenario daily dispatch cycle, considering renewable energy installed capacity and dispatch plans as decision variables. Then, using linear programming of AC power flow and cyclic linearization methods to linearize the constraints, the optimization model is transformed into a mixed-integer linear programming model, and the reasonable upper limit of renewable energy installed capacity and the expected annual acceptance of renewable energy under the maximum acceptance state of the regional power grid are obtained. Finally, the effectiveness of the proposed model is verified through a 24-bus power system, and the simulation results show that adjusting the storage and the limits of power curtailment rate can effectively improve the hosting capacity of the power system under high proportion of renewable energy.