化工学报
化工學報
화공학보
JOURNAL OF CHEMICAL INDUSY AND ENGINEERING (CHINA)
2014年
11期
4509-4516
,共8页
盖丽梅%孙力%刘畅%贺高红
蓋麗梅%孫力%劉暢%賀高紅
개려매%손력%류창%하고홍
随机规划%蒸汽动力系统%模拟%优化设计%过程系统
隨機規劃%蒸汽動力繫統%模擬%優化設計%過程繫統
수궤규화%증기동력계통%모의%우화설계%과정계통
stochastic programming%steam power system%simulation%optimal design%process systems
在蒸汽动力系统优化设计中,考虑不确定因素的优化策略能避免基于确定性设计策略的保守设计,并能针对不确定因素的实现提出相应的调度调节策略。本研究分析了蒸汽动力系统设计包含的不确定因素的特性及其对蒸汽动力系统优化目标和约束条件的影响。不确定因素的表达分成两类:基于时间变化表达和基于发生概率表达。对基于时间变化表达的因素,转化为多周期问题进行处理;对外部工艺过程变化引起的汽电需求不确定波动等基于发生概率表达的因素,应用随机规划策略,补偿不确定参数的实现可能引起的约束背离。基于本研究建立的多周期带补偿的二阶段随机规划MILP模型,求解蒸汽动力系统结构,同时优化调度调节策略,用调节决策和惩罚不足应对汽电需求等不确定因素的实现,实现系统安全稳定运行和经济效益最优。
在蒸汽動力繫統優化設計中,攷慮不確定因素的優化策略能避免基于確定性設計策略的保守設計,併能針對不確定因素的實現提齣相應的調度調節策略。本研究分析瞭蒸汽動力繫統設計包含的不確定因素的特性及其對蒸汽動力繫統優化目標和約束條件的影響。不確定因素的錶達分成兩類:基于時間變化錶達和基于髮生概率錶達。對基于時間變化錶達的因素,轉化為多週期問題進行處理;對外部工藝過程變化引起的汽電需求不確定波動等基于髮生概率錶達的因素,應用隨機規劃策略,補償不確定參數的實現可能引起的約束揹離。基于本研究建立的多週期帶補償的二階段隨機規劃MILP模型,求解蒸汽動力繫統結構,同時優化調度調節策略,用調節決策和懲罰不足應對汽電需求等不確定因素的實現,實現繫統安全穩定運行和經濟效益最優。
재증기동력계통우화설계중,고필불학정인소적우화책략능피면기우학정성설계책략적보수설계,병능침대불학정인소적실현제출상응적조도조절책략。본연구분석료증기동력계통설계포함적불학정인소적특성급기대증기동력계통우화목표화약속조건적영향。불학정인소적표체분성량류:기우시간변화표체화기우발생개솔표체。대기우시간변화표체적인소,전화위다주기문제진행처리;대외부공예과정변화인기적기전수구불학정파동등기우발생개솔표체적인소,응용수궤규화책략,보상불학정삼수적실현가능인기적약속배리。기우본연구건립적다주기대보상적이계단수궤규화MILP모형,구해증기동력계통결구,동시우화조도조절책략,용조절결책화징벌불족응대기전수구등불학정인소적실현,실현계통안전은정운행화경제효익최우。
Steam power system optimization design under uncertainty provides schedule plans in the design stage to avoid a conservative design based on deterministic design. The characteristics of uncertainties and their influence on optimization objectives and constraints were analyzed in this work. Uncertain factors were divided into two types. Fluctuations of some variables were expressed by time, and fluctuations of the others were expressed by probabilities. The first type variables caused the design to be a multi-period problem. Fluctuation of the second type variables were compensated based on stochastic programming to deal with constraint violations. A mixed integer linear programming model (MILP) based on multi-cycle stochastic programming with recourse was formulated to obtain optimal system configuration and operating state. Schedule plans were addressed in the design stage to satisfy uncertain steam and power demand.