As the renewable energy installation incerase, self-consistent integrated energy system (IES) is becoming more and more important for power grid. However, the current optimal scheduling strategy of IES lacks of robustness. At the same time, few people have studied the influence of national policies on the optimal dispatch of IES. To solve these problems, an optimal dispatch is presented for IES with the tradable green certificate (TGC) considering PV prediction error based on distributionally robust optimization (DRO). The practicality of the proposed model is verified in the typical IES. Based on the experimental results, the proposed strategy can improve the robustness of the optimal dispatch and improve renewable energy consumption.

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With the widespread use of clean energy sources, there has been a growing interest in obtaining green and pure hydrogen from wind power. However, wind energy is characterized by randomness and volatility, which results in a low grid connection rate for wind turbines and makes it difficult to integrate wind energy into the power grid. In this context, this article proposes an adaptive coordinated control strategy considering the wind turbine, alkaline electrolyzer, battery, and local loads. Using the DC bus voltage as the connecting signal, adaptive power control and voltage control methods are developed for the wind turbine, energy storage battery, and electrolyzer to achieve power matching in the system. Finally, the proposed research results are validated through Matlab/Simulink simulation module.

High integration of PV diminishes system inertia, which jeopardizes the system frequency stability. Adjusting PVs’ output according to demand is an active power control method requiring no energy storage devices, which realizes grid frequency support by a certain reserved power of PV. To equally reserve power between different PVs without communication, this paper combines the operation characteristics of the PV module on the right side of the maximum power point and proposes the characteristic of power reserve and adaptive power reserve-frequency supporting control. Furthermore, irradiance and temperature sensors, cumbersome mathematical computation, and accurate measurement of PV module parameters can be eliminated. Finally, simulations are provided to validate the effectiveness of the proposed control strategy.