新型电力系统多能源能量惯性动态优化控制模型

针对新型电力系统中大规模可再生能源并网和高比例电力电子设备的接入,导致系统惯量水平下降,影响电网安全稳定运行的问题,提出一种新型电力系统多能源能量惯性动态优化控制模型。首先,分析电力、热力、燃气的惯性特性,分别建立电力系统和热、气系统能量传递惯性模型。其次,基于多能源输运下的耦合协调关系,提出一种基于事件驱动电力、热力、燃气系统动态惯性优化控制方法。最后,建立修改的IEEE 39节点电力系统、6节点热力系统和7节点燃气系统的仿真模型进行算例仿真,仿真结果表明,所提出的控制方法能够有效改善新型电力系统的频率响应,保持系统运行鲁棒性。

Dynamic Optimal Control Model of Multi-energy Inertia in New Power System

Aiming at the problem that large-scale grid-connected renewable energy and high-proportion power electronic equipment access in new power system, which leads to the decrease of the system inertia level and affects the safe and stable operation of the power grid, a new power system multi-energy inertia dynamic optimization control model is proposed. Firstly, the inertia characteristics of electricity, heat and gas are analyzed, and the inertia models of energy transfer in the power, heat and gas systems are established, respectively. Secondly, considering the coupling and coordination relationship under multi-energy transfer, an event-driven dynamic inertia optimization control method for power, thermal and gas systems is proposed. The modified IEEE 39-node power system, 6-node thermal system and 7-node gas system are simulated as examples. The simulation results show that the proposed control method can effectively improve the frequency response of the new power system and maintain the robustness of the system operation.