含光热电站接入的多源联合系统模型预测控制方法

光热电站具有良好的可调节特性，能够弥补常规机组调节能力不足，促进风电、光伏消纳。然而，光热电站的可调节能力受到太阳能直射辐射情况以及蓄热装置初始蓄热量的影响，增加了光热电站接入下多源联合系统协调优化难度。为此，提出了含光热电站接入的多源联合系统模型预测控制方法。首先，建立了光热电站功率调节特性、能量储存运行特性的数学模型；在此基础上，基于多源联合机组组合滚动优化及反馈校正的模型预测控制MPC思路，提出了含光热电站接入的多源联合系统滚动优化模型及相应的优化方法，进而得到含光热电站接入的多源联合系统优化控制方案；最后，以某含光热电站接入的新能源送端电网为例进行仿真计算，仿真结果验证了所提方法在挖掘光热电站有功调节能力、促进风光电消纳方面的有效性。

Model Predictive Control Method for Multi-source Combined System with Integration of Concentrating Solar Power Plant

Concentrating solar power(CSP) plants have good regulable characteristics, which can make up for the lack of regulation capability of conventional units and promote the absorption of wind and photovoltaic(PV) power. However, their regulable capability is affected by direct normal irradiance and the initial heat storage of thermal storage devices, which increases the difficulty in the coordination and optimization of a multi-source combined system with the integration of a CSP plant. To solve this problem, a model predictive control(MPC) method is proposed in this paper. First, a mathematical model of the regulation characteristics of the CSP plant and the operation characteristics of energy storage is established. On this basis, based on the MPC method of multi-source combined unit commitment rolling optimization and feedback correction, a multi-source combined system rolling optimization model with the integration of the CSP plant and the corresponding optimization method are proposed, and then the corresponding optimal control scheme is obtained. Finally, the simulation calculation of one new energy sending-end grid with the integration of a CSP plant is carried out, and simulation results verify that the proposed method has the capability of regulating the active power of the CSP plant, thus effectively promoting the absorption of wind and PV power.