光伏光热联合发电基地并网优化调度模型

太阳能能源基地建设正在从单一光伏发电向光伏光热等多种太阳能能源利用形式方向发展。借助光热电站的大容量储热装置和具备快速爬坡速率的汽轮机组，光伏光热联合发电基地的并网运行的可调度性和可控性大大提升。从光伏光热联合发电基地的运行机理出发，建立了基于改进粒子群算法的光伏光热两阶段优化调度模型，第一阶段以削减等效负荷峰谷差、改善负荷曲线为优化目标，第二阶段以发电总成本最小为优化目标。该模型满足光伏光热电站的主要运行约束和传统机组组合安全约束，适用于光伏光热联合发电基地并网调度运行。对10机系统的仿真表明，在完全接纳太阳能发电的前提下，光伏光热发电基地在削减等效峰谷差、提高新能源消纳和降低发电总煤耗效益显著，同时对于光热电站的灵敏度分析表明，在规划建设光热电站时可根据单位峰谷差削减量以及建设成本来选择合适的装机容量和储热装置容量。

Optimal Dispatch Model of Grid-Connected Power Base Considering Photovoltaic Power and Concentrating Solar Power

The construction of solar energy bases is developing from unitary photovoltaic power generation to multi-solar-energy utilization of photovoltaic power and concentrating solar power. By using the large capacity of thermal storage device of the concentrating solar power station and the fast climbing speed of steam turbine units, the grid-connected united power base of photovoltaic power and concentrating solar power will improve significantly in terms of the control and dispatch capability. Based on the operation mechanism, a two-stage optimal dispatch model of photovoltaic and concentrating solar power is established based on improved particle swarm optimization algorithm. The objective of the first stage optimization is to reduce the peak-valley difference of the equivalent load and improve the load curve, and the second stage optimization objective is to minimize the total cost of power generation. The model satisfies the main operation constraints of the photovoltaic power and concentrating solar power stations and the traditional security constraints of unit commitment, which is suitable for grid-connected dispatch operation of the united power base. In the premise of full acceptance of solar power, a ten-machine example system is simulated, and the benefits of the power base are analyzed in terms of the peak-valley difference reduction, the renewable energy consumption and the total cost of power generation. The sensitivity analysis indicates that it is economically significant in planning and construction of the power base to select the appropriate capacity of the steam turbine and the thermal storage device.