The Sizing optimization of Hydrogen Energy Storage System Considering Completely Ancillary Services in Electricity Market and Long-Time Scale Fluctuation Characteristics of Wind Power

To handle the problem of not completely incorporating profits of ancillary services and effectively coordinating with the long-time scale fluctuations of wind power, this paper proposes a sizing optimization method for hydrogen energy storage system (HESS) with comprehensive ancillary services and coordination with actual fluctuations of wind power. A model aiming at maximizing comprehensive profit is established including comprehensive ancillary services profit of HESS in electricity market, such as peak regulation, frequency regulation and delayed line construction. The model incorporates the longtime fluctuation characteristics of wind power. The HESS with long-time scale characteristics is more suitable for the actual wind power fluctuations. As a result, a more optimal sizing with larger profits can be obtained. Finally, the particle swarm optimization (PSO) algorithm is applied to solve the nonlinear mixed integer programming model. The numerical simulation results demonstrate that the proposed model can obtain more profits compared to the previous methods on sizing optimization of HESS.