Research on collaborative control and optimization of energy storage units under the high proportion of wind power infiltration

Abstract

With the growing maturity of technology and strong support for national policies, the proportion of new energy power generation systems represented by wind power in the power network is increasing. Under the high proportion of wind power penetration in the power network, the power generation burden of thermal power generation unit is greatly reduced, and the running costs of the electricity grid system can be reduced while obtaining environmental value benefits. However, the stochastic and uncertain output of wind power poses a challenge to grid dispatch under a high proportion of wind power penetration. The energy storage power system responds quickly and can provide certain heat reserves and virtual rotational inertia for the power network, and the wind power generation system can effectively smooth the wind power output and reduce the wind power curtailment rate. This paper proposes an optimal allocation method that takes into account the operating cost of the energy storage plant, the operating cost of the thermal power generation group, the cost of wind turbine abandonment, the branch capacity constraint and the standby capacity constraint. A four-unit 14-node model is built to simulate the cooperative control of energy storage under the penetration of a high proportion of wind power in summer and winter, and verified the effectiveness of the strategy.