Optimal Allocation of Virtual Inertia and Droop Control for Renewable Energy in Stochastic Look-Ahead Power Dispatch

To stabilize the frequency of renewable energy sources (RESs) dominated power system, supports are required by RESs through virtual inertia emulation or droop control in newly published grid codes. Since long-term RES prediction involves significant errors, we need online configure parameters a rolling manner to improve operation economics under premise stabilizing system frequency. address this concern, paper proposes constrained stochastic look-ahead dispatch (FCS-LAPD) model formulate and storage systems (ESSs) as scheduling variables, which can optimally allocate coefficient ESSs. In FCS-LAPD model, uncertainties characterized using Gaussian Mixture Model (GMM). The reserves determined parameters, reserve cost coefficients adjusted properly according predicted generation. Due nonlinearity nadir constraint, convex hull approximation method is employed linearize it with guaranteed feasibility. proposed ultimately cast an instance quadratic programming be efficiently solved. Case studies on modified IEEE 24-bus provincial China conducted show effectiveness model.