个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:水文学及水资源. 水利水电工程
办公地点:大连理工大学 综合实验3#楼 518室 (主楼后面)
联系方式:shengliliao@dlut.edu.cn
电子邮箱:shengliliao@dlut.edu.cn
MILP Model for Short-Term Hydro Scheduling with Head-Sensitive Prohibited Operating Zones
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论文类型:会议论文
发表时间:2017-05-21
收录刊物:EI、CPCI-S、Scopus
页面范围:500-510
关键字:short-term hydro scheduling; prohibited operating zones; head effect; peak shaving; mixed-integer linear programming
摘要:Head-sensitive prohibited operating zones are a critical challenge for short-term scheduling of cascaded hydropower plants for peak shaving. These prohibited operating zones add discrete characters to the nonlinear hydropower scheduling problem, making it tough to handle. This paper establishes a mixed-integer linear programming (MILP) model for short-term hydro scheduling with head-sensitive prohibited operating zones. The Min-Max objective function, plant performance curves and head-sensitive prohibited operating zones are mainly focused on. The Min-Max objective function is linearized via introducing linear combinations of constraints. The plant performance curves are linearized by a piecewise linear approximation. The avoidance of prohibited operating zones is incorporated into the linearization of plant performance curves so that head effect is captured. The case study of a two cascaded hydropower system is solved by LINGO. Numerical results show that the proposed MILP model is efficient and suitable for short-term hydropower optimal scheduling with prohibited operating zones for peak shaving.