电力系统保护与控制2024，Vol.52Issue(23)：95-106,12.DOI:10.19783/j.cnki.pspc.240373
考虑风电爬坡备用需求的风电高渗透电力系统优化调度方法
Optimization and scheduling methods for wind power high-penetration power systems considering wind power ramping reserve requirements
摘要
Abstract
Accurately describing the error characteristics of wind power output prediction is helpful for the rational allocation of system reserve capacity and the optimization of day-ahead scheduling plans.This paper proposes a day-ahead optimization scheduling method for power systems considering wind power ramping reserve requirements.First,based on the wind power ramping segment,the ramping characteristics are extracted,and a two-dimensional interval of ramping amplitude-predicted power is established.The adaptive kernel density estimation method is used to fit the probability distribution of wind power prediction errors.Then,based on the distribution of wind power prediction errors,the system reserve requirements are determined.Looking for minimal comprehensive operating costs of reserve costs and risk costs,a continuous-time day-ahead optimization scheduling model is established.Next,the Bernstein polynomial interpolation solution space transform is adopted to complete model conversion,thereby optimizing reserve capacity,unit combination,and output plans.Finally,a case study verifies that the established wind power prediction error distribution model can accurately describe the stochastic characteristics of wind power.The proposed day-ahead scheduling method can effectively allocate system reserve capacity,ensuring operational safety and economic efficiency.关键词
预测误差分布/爬坡特征/自适应核密度估计/连续时间模型/风险成本Key words
forecast error distribution/ramping feature/adaptive kernel density estimation/continuous-time model/risk cost引用本文复制引用
张野,李凤婷,张高航,肖忠杰..考虑风电爬坡备用需求的风电高渗透电力系统优化调度方法[J].电力系统保护与控制,2024,52(23):95-106,12.基金项目
This work is supported by the Key R&D Program of Xinjiang Uygur Autonomous Region(No.2022B01016). 新疆维吾尔自治区重点研发项目资助(2022B01016) （No.2022B01016）
