电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
18期
27-32,98
,共7页
孙健%刘斌%刘锋%魏韡%周作春%袁清芳
孫健%劉斌%劉鋒%魏韡%週作春%袁清芳
손건%류빈%류봉%위위%주작춘%원청방
风电预测%不确定性建模%不确定性测度%误差相关性%鲁棒优化
風電預測%不確定性建模%不確定性測度%誤差相關性%魯棒優化
풍전예측%불학정성건모%불학정성측도%오차상관성%로봉우화
wind power prediction%uncertainty modeling%uncertainty measure%error correlation%robust optimization
先进的鲁棒调度技术是应对出力不确定性最经济、最有效的手段之一;而不确定性集合是刻画风电出力不确定性的基本形式,它不依赖于预测误差的具体分布形式,是制定风电鲁棒调度策略,进而保障系统安全经济运行的重要参考依据。首先,采用实际数据对现有不确定性集合建模方法进行了评估,指出在不确定性集合中若忽略风电预测误差的相关性将导致不合理的结果。在此基础上,基于广义椭球的一般表达式,提出了风电出力不确定性测度的概念,进而给出一种可以准确考虑风电预测误差相关性的不确定性集合建模方法。实际算例表明,在给定置信概率下,所提方法能够保证不确定性集合凸性,大幅压缩不确定性集合的测度,从而显著降低电力系统鲁棒优化决策的保守性。
先進的魯棒調度技術是應對齣力不確定性最經濟、最有效的手段之一;而不確定性集閤是刻畫風電齣力不確定性的基本形式,它不依賴于預測誤差的具體分佈形式,是製定風電魯棒調度策略,進而保障繫統安全經濟運行的重要參攷依據。首先,採用實際數據對現有不確定性集閤建模方法進行瞭評估,指齣在不確定性集閤中若忽略風電預測誤差的相關性將導緻不閤理的結果。在此基礎上,基于廣義橢毬的一般錶達式,提齣瞭風電齣力不確定性測度的概唸,進而給齣一種可以準確攷慮風電預測誤差相關性的不確定性集閤建模方法。實際算例錶明,在給定置信概率下,所提方法能夠保證不確定性集閤凸性,大幅壓縮不確定性集閤的測度,從而顯著降低電力繫統魯棒優化決策的保守性。
선진적로봉조도기술시응대출력불학정성최경제、최유효적수단지일;이불학정성집합시각화풍전출력불학정성적기본형식,타불의뢰우예측오차적구체분포형식,시제정풍전로봉조도책략,진이보장계통안전경제운행적중요삼고의거。수선,채용실제수거대현유불학정성집합건모방법진행료평고,지출재불학정성집합중약홀략풍전예측오차적상관성장도치불합리적결과。재차기출상,기우엄의타구적일반표체식,제출료풍전출력불학정성측도적개념,진이급출일충가이준학고필풍전예측오차상관성적불학정성집합건모방법。실제산례표명,재급정치신개솔하,소제방법능구보증불학정성집합철성,대폭압축불학정성집합적측도,종이현저강저전력계통로봉우화결책적보수성。
Advanced robust scheduling technology is one of the most economical and effective means to deal with output uncertainty.Usually,uncertainty set is used for describing the prediction error of wind power generation.It does not require the probability distribution of prediction errors and can cover all realizations of wind generation prediction errors with given confidence level.In our work,existing models of uncertainty set are evaluated using real data in wind farm operations.The study shows that unreasonable uncertainty sets may occur if the correlation of prediction errors is neglected.Furthermore,a criterion of wind generation uncertainty is proposed,based on which a new ellipsoidal modeling method is derived to incorporate the correlation of prediction errors.Given a confidence level in the sense of probability,the proposed uncertainty set can greatly reduce the measure of prediction errors with convexity guarantee. This facilitates mitigating conservativeness of robust optimization decision making process in power systems.