光伏不同渗透率下考虑源网荷储深度互动的电力系统调峰策略

随着风光等可再生资源并网规模不断增大,其波动性及反调峰性使得系统负荷峰谷差大大增加。同时由于调峰容量以及调峰积极性等因素的限制,单纯依靠现有单一的快速调峰电源难以满足大规模新能源接入下的系统调峰需求。因此,文章针对不同光伏渗透率下的电力系统调峰问题,首先将光伏的不确定性、季节性、波动性等多维时空特性模型化,然后建立常规调峰机组、电网弹性优化、负荷分级响应及储能系统四类资源协同互动的系统调峰模型,最后以系统调峰成本最小为目标得到不同光伏渗透率下的系统最优调峰策略,完成光伏不同渗透率与电力系统调峰能力的动态匹配。仿真结果表明,文章所提策略能够满足不同光伏渗透率下的系统调峰需求,保证电力系统供需平衡,有效减少系统负荷峰值时的失电量。

Peak Regulation Strategy of Power System Considering the Interaction of Source-Network-Load-Storage Under Different Penetration Rate of PV

With the rapid growth of solar energy integration, the difference between power system peak and valley load becomes larger due to the PV fluctuating output and reverse peak regulation. Due to the traditional peak-regulating capacity and motivation factor, relying on the existing single peak-regulating resource is difficult to meet the power balance requirements. Therefore, a new peak regulation strategy considering different PV penetration rate is proposed in this paper. Firstly, the multi-dimension space-time characteristics of PV are modeled, and then by establishing the deep interaction based peak-regulating model including source, network, load and storage, the optimal system peak-regulating strategy is obtained, and the dynamic match of different PV integration and system peak-regulating capacity is achieved. The simulation results show that the proposed peak-regulating strategy can meet the system peak-regulating requirements under different PV penetration rate, and can ensure the balance between supply and demand sides and effectively reduce the power loss at the peak load.