Coordinated Optimization Model of the Wind Power Plant with Hydrogen Storage System and Demand Response

The deployment of the hydrogen storage system(HSS) that smooths the wind power output and reduces wind curtailment is usually constrained by its high cost. Considering the widely dispersed demand response(DR) resources can conveniently shift load to match the wind power output and enhance the wind power integration by means of electricity price signals at a competitive cost, a coordinated model of the wind power plant with HSS(WPP-HSS) and a real-time pricing(RTP) based DR strategy is proposed. In the proposed DR strategy, a cost adjustment coefficient of consumers and the equivalent net load(ENL) ramping constraint are incorporated for adjusting consumers' electricity cost and improving the economic operation of power systems. This optimization model is transformed into a mixed-integer linear programming(MILP) problem by using the McCormick relaxation method and other linearization techniques. Finally, a test system is adopted to validate the effectiveness of the proposed model and sensitivity analysis on the cost adjustment coefficient is conducted.