考虑牵引负荷接入的薄弱电网风光储选址定容规划

Planning for Siting and Sizing of Wind-solar-storage in Weak Power Grid Considering Traction Load Access

摘要:

针对西部山区电气化铁路面临外部电网薄弱的问题，考虑将铁路沿线的风光发电接入薄弱电网，并接入储能为牵引负荷提供可靠的电能。因此，建立了考虑牵引负荷接入的电网两阶段协调优化的选址定容规划模型。第一阶段建立了以年综合费用最少的单目标分布式电源选址定容优化模型，采用粒子群优化算法求解分布式电源接入位置，为第二阶段储能的选址提供参考；第二阶段以储能费用、节点电压波动和功率波动为目标建立了储能选址定容优化模型，采用多目标粒子群优化算法进行求解。研究结果表明，分布式电源的接入提高了电网的供电容量，保障了牵引负荷的供电，而储能的接入降低了分布式电源和牵引负荷的功率波动，保障了电网的安全与牵引负荷的可靠供电。

Abstract:

In view of the problems that the electrified railway in the western mountainous area is faced with the weak external power grid, it is considered to connect the wind and solar power generation along the railway to the weak power grid, and integrate energy storage to provide reliable power for traction load. Therefore, a planning model of siting and sizing with two-stage coordinated optimization for power grid is established considering traction load access. In the first stage, a single-objective distributed generation siting and sizing optimization model with the lowest annual comprehensive cost is established, and the particle swarm optimization algorithm is used to solve the access location of distributed generation, which provides a reference for the location of energy storage in the second stage. In the second stage, the optimization model of siting and sizing for energy storage is established with the objectives of energy storage cost, node voltage fluctuation and power fluctuation, and the multi-objective particle swarm optimization algorithm is used to solve the model. The results show that the access of distributed generation improves the power supply capacity of power grid and ensures the power supply of traction load, while the access of energy storage reduces the power fluctuation of distributed generation and traction load, and ensures the safety of power grid and the reliable power supply of traction load.