AUTHOR=Zhou Yunhai , Jia Qian , Xin Yuejie , Zhang Tao TITLE=Intraday Scheduling of a System With Following Units Based on Two-Stage Stochastic Programming JOURNAL=Frontiers in Energy Research VOLUME=10 YEAR=2022 URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.873377 DOI=10.3389/fenrg.2022.873377 ISSN=2296-598X ABSTRACT=

In order to further reduce the impact of renewable energy forecast errors on the system scheduling plan, this paper proposes an intraday rolling scheduling strategy for systems with following units based on two-stage stochastic programming. Firstly, the nonparametric kernel density is used to estimate the probability density function of wind and photovoltaic power prediction errors. The first stage is to pre-decide the operating state of the following unit with the goal of minimizing the start-stop cost of the fast unit. Then, based on the determined start-stop information in the second stage, the active power output of each unit is optimized with the goal of the lowest expected cost of the overall system operation. Finally, the objective function is linearized to transform the model into a mixed integer linear programming problem, which can be solved with the help of the solver software GUROBI. Through the analysis of practical examples, it is verified that the built model can reduce the number of starts and stops of the following units, reducing the operating cost of the power system and increasing the rate of renewable energy on-grid, which has more practical application significance.