摘要
提出一种基于Ｌａｇｒａｎｇｉａｎ松驰技术的梯级水电系统优化调度算法，能够综合处理离散运行区间、最小启停机时间等离散约束、水库间的水力耦合网络约束以及水头影响。基于实际系统数据的数值验证表明了本算法的有效性和实用性。
A new algorithm for scheduling head-dependent cascaded reservoirs within the Lagrangian relaxation framework is presented. The algorithm can systematically consider discontinuous operating regions, discrete operating constraints such as minimum up/down times, the head-dependent power output and hydraulic coupling among reservoirs. Numerical testing based on a practical power system shows that the algorithm is computationally efficient and practicable.
出处
《控制与决策》
EI
CSCD
北大核心
1998年第6期647-652,共6页
Control and Decision
基金
国家杰出青年基金
863计划
美国李氏基金
关键词
梯级水电系统
优化调度
水头影响
电力系统
cascaded hydro power systems scheduling, head-dependent reservoirs, mixed-integer programming, nonlinear network flow method
