中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
1期
68-73
,共6页
王宁玲%付鹏%陈德刚%杨志平%杨勇平
王寧玲%付鵬%陳德剛%楊誌平%楊勇平
왕저령%부붕%진덕강%양지평%양용평
大数据%多变边界%负荷分配%动态规划%基准
大數據%多變邊界%負荷分配%動態規劃%基準
대수거%다변변계%부하분배%동태규화%기준
big data%varying boundary%load dispatching%dynamic programming%benchmark
传统厂级负荷优化分配以火电机组煤耗曲线为依据,以供电煤耗率最低为目标。考虑到火电机组结构日益复杂,多变的边界条件和运行工况加剧了机组能耗特性的不确定性,给厂级负荷优化分配带来新问题。该文基于火电机组的海量运行数据,引入大数据分析方法,通过模糊粗糙集计算方法提高数据处理的效率,利用决策相关函数评价能耗决策的置信度,获得机组不同边界和运行工况下的能耗特性。将得到的机组供电煤耗率作为厂级负荷动态规划的依据,进而预测负荷优化分配的节煤潜力。结果表明,基于大数据分析方法的厂级负荷分配可有效降低火电厂的供电煤耗率,对火电机组的节能发电调度具有参考意义。
傳統廠級負荷優化分配以火電機組煤耗麯線為依據,以供電煤耗率最低為目標。攷慮到火電機組結構日益複雜,多變的邊界條件和運行工況加劇瞭機組能耗特性的不確定性,給廠級負荷優化分配帶來新問題。該文基于火電機組的海量運行數據,引入大數據分析方法,通過模糊粗糙集計算方法提高數據處理的效率,利用決策相關函數評價能耗決策的置信度,穫得機組不同邊界和運行工況下的能耗特性。將得到的機組供電煤耗率作為廠級負荷動態規劃的依據,進而預測負荷優化分配的節煤潛力。結果錶明,基于大數據分析方法的廠級負荷分配可有效降低火電廠的供電煤耗率,對火電機組的節能髮電調度具有參攷意義。
전통엄급부하우화분배이화전궤조매모곡선위의거,이공전매모솔최저위목표。고필도화전궤조결구일익복잡,다변적변계조건화운행공황가극료궤조능모특성적불학정성,급엄급부하우화분배대래신문제。해문기우화전궤조적해량운행수거,인입대수거분석방법,통과모호조조집계산방법제고수거처리적효솔,이용결책상관함수평개능모결책적치신도,획득궤조불동변계화운행공황하적능모특성。장득도적궤조공전매모솔작위엄급부하동태규화적의거,진이예측부하우화분배적절매잠력。결과표명,기우대수거분석방법적엄급부하분배가유효강저화전엄적공전매모솔,대화전궤조적절능발전조도구유삼고의의。
On the basis of coal rate curves, the traditional plant-level load dispatching is fulfilled with the minimum coal rate. Considering the increasing complexity in power unit structure, it is of great uncertainties to describe the energy consumption and difficult for the plant-level load dispatching especially under the varying operation boundary and conditions. With a great volume of operation data of thermal power units, big data-based analytics were introduced. The fuzzy rough set (FRS) method was used to improve the efficiency of data processing, and the decision correlation function was introduced to measure the confidence, so as to derive the coal rate under specific working conditions. Taking such coal rate as the basis of plant-level dynamic load planning, the energy-saving potential was predicted for the optimized load dispatching. The result shows that the load dispatching based on big data analytics is effective to reduce the gross coal rate, making great reference for the energy-saving power generation dispatching.