中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
16期
4006-4014
,共9页
交直流系统%区间最优潮流%新能源发电%区间潮流%区间优化法%现代内点法
交直流繫統%區間最優潮流%新能源髮電%區間潮流%區間優化法%現代內點法
교직류계통%구간최우조류%신능원발전%구간조류%구간우화법%현대내점법
AC/DC power system%interval optimal power flow (IOPF)%renewable energy sources%interval power flow (IPF)%interval optimization (IO) method%modern interior point methods
为描述新能源发电等电力系统运行参数的不确定性对系统的影响，掌握系统的区间潮流分布，提出一种适于求解含新能源的交直流混联电力系统区间最优潮流(interval optimal power flow，IOPF)。源于区间优化法，将系统的新能源发电出力、节点负荷功率等不确定量表达为区间变量，引入到交直流混合系统最优潮流计算的非线性规划模型中，建立了区间最优潮流计算的非线性区间优化模型。根据区间匹配和区间极值取值等原理，将该区间规划转化为两个确定性的非线性优化问题，并采用现代内点算法求解，得到了区间最优潮流待求变量的边界信息。IEEE 14、118和300节点标准系统的计算结果表明，与蒙特卡罗模拟结果对比，所提出方法具有较高的求解精度，对IOPF目标函数区间半径和区间均值的计算误差不超过9%和0.8%，且易于实现、计算效率高，具有广泛的应用前景。
為描述新能源髮電等電力繫統運行參數的不確定性對繫統的影響，掌握繫統的區間潮流分佈，提齣一種適于求解含新能源的交直流混聯電力繫統區間最優潮流(interval optimal power flow，IOPF)。源于區間優化法，將繫統的新能源髮電齣力、節點負荷功率等不確定量錶達為區間變量，引入到交直流混閤繫統最優潮流計算的非線性規劃模型中，建立瞭區間最優潮流計算的非線性區間優化模型。根據區間匹配和區間極值取值等原理，將該區間規劃轉化為兩箇確定性的非線性優化問題，併採用現代內點算法求解，得到瞭區間最優潮流待求變量的邊界信息。IEEE 14、118和300節點標準繫統的計算結果錶明，與矇特卡囉模擬結果對比，所提齣方法具有較高的求解精度，對IOPF目標函數區間半徑和區間均值的計算誤差不超過9%和0.8%，且易于實現、計算效率高，具有廣汎的應用前景。
위묘술신능원발전등전력계통운행삼수적불학정성대계통적영향，장악계통적구간조류분포，제출일충괄우구해함신능원적교직류혼련전력계통구간최우조류(interval optimal power flow，IOPF)。원우구간우화법，장계통적신능원발전출력、절점부하공솔등불학정량표체위구간변량，인입도교직류혼합계통최우조류계산적비선성규화모형중，건립료구간최우조류계산적비선성구간우화모형。근거구간필배화구간겁치취치등원리，장해구간규화전화위량개학정성적비선성우화문제，병채용현대내점산법구해，득도료구간최우조류대구변량적변계신식。IEEE 14、118화300절점표준계통적계산결과표명，여몽특잡라모의결과대비，소제출방법구유교고적구해정도，대IOPF목표함수구간반경화구간균치적계산오차불초과9%화0.8%，차역우실현、계산효솔고，구유엄범적응용전경。
In order to describe the impact of uncertainties such as renewable energy sources and other operating parameters in power system, and realize the interval power flow of system effectively, an interval optimization method for interval optimal power flow (IOPF) of AC/DC hybrid power system with renewable energy sources was proposed. Inspired by interval optimization method, the power output of renewable energy sources and nodal load were expressed as interval variables, and considered into the nonlinear programming model of optimal power flow calculation for AC/DC power system. Then, a nonlinear interval optimization model was constructed for interval optimal power flow. According to the theory of direct interval matching and selection of the extreme value intervals, the interval optimization problem was translated into two determinate nonlinear programming problems, and solved by modern interior point method to obtain the range information of unknown variables in interval optimal power flow. The numerical results of IEEE14, 118 and 300-bus systems indicate that, compared with Monte Carlo (MC) method, the proposed method has high accuracy, the calculation error of the interval radius and interval average of objective in IOPF does not exceed 9% and 0.8%. It is easy to implement and of high computing efficiency, and has extensive application prospects.
