基于风-光-蓄-火联合发电系统的多目标优化调度

针对风电、光伏出力的随机性、间歇性和波动性而导致其在大规模接入电网时对电网发电计划制定和调度产生的影响，提出了含风-光-蓄-火联合发电系统的多目标优化调度模型。利用抽水蓄能的抽蓄特性，将风电和光伏出力进行时空平移，使风-光-蓄联合出力转变为稳定可调度电源，具备削峰填谷的功能，与火电机组共同参与系统优化调度。以风-光-蓄联合出力最大、广义负荷波动最小和火电机组运行成本最小作为目标函数，建立多目标优化调度模型，通过多目标处理策略，使目标函数简化为2个，以降低问题维数；在求解阶段，利用分层求解思想，将模型划分为两层，分别采用混合整数规划方法和机组组合优化方法进行求解。10机测试系统仿真结果表明：所建模型可以提高风能和太阳能的利用率，缓解火电机组的调峰压力，大幅降低风电反调峰特性对电网的影响，从而保证电力系统安全、稳定、经济运行。

Multi-Objective Optimal Dispatch Based on Wind-Solar-Pumped Storage-Thermal Combined Power System

Considering randomness, intermittency and fluctuation of the power output of wind farms and photovoltaic power stations, which causes negative impacts on the power generation planning and power scheduling and dispatching when connected with the power grid at a large scale, an optimal dispatch model for wind-solar-pumped storage-thermal combined system is proposed in this paper. Based on the pumping and storage characteristics of the pumped storage energy, the wind power and photovoltaic power are shifted spatially, so that the joint power output of the wind-solar-pumped storage can be converted into a stable and schedulable power supply, which has the function of peak shaving and valley filling, and is capable of jointly participating in the system optimal scheduling with thermal power units. With the maximum power output of the the wind-solar-pumped storage, the minimum generalized load fluctuation and the minimum operating cost of thermal power units as the objective functions, a multi-objective optimal scheduling model is established and through the multi-objective processing strategy, the objective functions are simplified into two to reduce the problem dimension. In the solution stage, taking the maximum wind light storage combined output, the minimum generalized load fluctuation and the minimum operating cost of thermal power units as the objective functions, a multi-objective optimal scheduling model is established. Through the multi-objective processing strategy, the objective functions are simplified into two to reduce the problem dimension, in solution stage, the model is divided into two layers according to the layered solving idea, and the mixed integer programming method and unit commitment optimization are used respectively to solve it. Simulation results of the 10-machine test system show that the model can improve the utilization rate of wind energy and solar energy, relieve peak pressure of thermal power units, and significantly reduce the anti-peaking characteristics of wind power, thereby ensure the safe, stable and economical operation of the power system.