计及新能源出力相关性的多能源微网仿射实时优化调度

Affine Real-time Optimal Dispatching for Multi-energy Microgrid With Renewable Energy Output Correlation

为计及新能源出力相关性对多能源微网运行的影响,并响应源荷实时变化,提出一种计及新能源出力相关性的多能源微网仿射实时优化调度方法。首先,在多能源微网中引入Kalina循环,实现热电联产机组的灵活经济输出。其次,考虑源荷不确定性以及风光出力相关性对多能源微网运行的影响,构建并求解计及风光出力相关性的多能源微网仿射优化模型。再次,在获得优化方案变化范围的基础上,实时计算各仿射噪声元的取值,从而获取多能源微网实时调度轨迹。最后,仿真结果验证了所提方法能够充分计及不确定性和相关性的双重影响,有效应对源荷实时变化,并提升系统运行经济性。

To account for the impact of renewable energy output correlation on the operation of multi-energy microgrids and respond to the real-time changes of source and load,an affine real-time optimal dispatching method for multi-energy microgrids with renewable energy output correlation is proposed.Firstly,the Kalina cycle is introduced into the multi-energy microgrid to achieve a flexible economic output of the combined heat and power unit.Secondly,considering the uncertainty of source and load and the correlation of wind power and photovoltaic output on the operation of the multi-energy microgrid,an affine optimization model of the multi-energy microgrid with wind power and photovoltaic output correlation is constructed and solved.Thirdly,based on obtaining the variation range of the optimal scheme,the values of each affine noise symbol are calculated in real-time,thus obtaining the real-time dispatching trajectory of the multi-energy microgrid.Finally,the simulation results verify that the proposed method can fully account for the dual effects of uncertainty and correlation,effectively deal with the real-time changes of source and load,and improve the system's operation economy.