基于机会约束规划的分布式家庭并网光伏系统优化调度模型

Optimal Scheduling Model for Distributed Family Grid-connected Photovoltaic System Based on Chance Constrained Programming

分布式家庭并网光伏系统是太阳能产业规划的重要组成部分,其优化调度模型是一项重要研究课题。计及光伏出力和负荷水平不确定性,采用Maximax形式的随机机会约束规划建立分布式家庭并网光伏系统优化调度模型。该模型以满足一定置信度下的运行收益最大为目标函数,计及功率平衡约束、储能相关约束以及与外网购售电功率约束等约束条件,采用混合智能算法对所建立的模型进行求解。算例分析表明,建立的模型可计及不确定性,适用于求解分布式家庭并网光伏系统的优化调度问题,并可充分保证优化调度的经济性。

Distributed family grid-connected photovoltaic system is an important component of solar energy industry planning, the optimal scheduling model of which is an important research topic. Considering the uncertainty of photovoltaic output and load level, Maximax mode-based stochastic chance constrained programming is adopted to establish the optimal scheduling model for the distributed family grid-connected photovohaic system. The model takes the maximum operating profit satisfying the given confidence degree as the objective function, and takes into account the power balance constraints, energy storage constraints and power constraints in electricity purchasing and selling of the grid. The hybrid intelligent algorithm is used to solve the established model. The case studies show that the proposed model considers the uncertainty, applies to the optimal scheduling problem in the distributed family grid- connected photovoltaic system, and fully guarantees the economic efficiency of the optimal scheduling.