混联水库群分时电价下优化调度模型研究  

Research on optimization scheduling model of mixed reservoirs group under zonal-time price

作　　者：徐新黎[1] 杨丹[1] 王万良[1] 李笠[1] 

机构地区：[1]浙江工业大学计算机科学与技术学院,浙江杭州310023

出　　处：《浙江工业大学学报》2015年第4期431-437,共7页Journal of Zhejiang University of Technology

基　　金："十二五"国家科技支撑计划"农村小水电高效发电技术与设备研制"(2012BAD10B01);国家自然科学基金资助项目(61379123)

摘　　要：针对传统的水电综合效益最大优化调度模型存在的"平均水价值"问题,提出了一种基于分时电价的混联水库群优化调度改进模型,综合考虑了分时电价中的日用电时段差别电价(即峰谷电价),加入了调整当前蓄水价值系数的动态因子,并通过研究混联水库的串并联关系以及上下游水库之间的影响,在计算蓄水价值时,能够充分考虑水库间的潜在蓄水价值,从而引导发电流量根据电价的升降而相应改变,提升整个流域的总体效益.最后运用均匀搜索粒子群算法对改进模型进行了仿真计算,并将结果与传统的发电效益最大模型以及综合效益最大模型进行对比,实验结果证实改进模型能更好适应现代峰谷电价的市场,提高了水电站的综合经济效益,更符合水电站调度的需求.Considering the problem of ＂Average water value＂ in traditional maximum optimization schedule model of hydropower comprehensive benefit, we propose an optimal schedule model applied in mixed reservoirs based on zonal-time price, which considers the zonal-time price difference （peak and valley price） and adds a dynamic factor to adjust the current water value coefficient. By studying on the series and parallel relationships of the mixed reservoirs and the influence between the upstream and downstream reservoir, the model fully considers the substantial water value among reservoirs, which can lead the powers flow changing with the electricity price. This paper uses the Uniform Searching Particle Swarm Optimization Algorithm to make the simulation and compare the results with the traditional maximum power generation benefit model and the maximum comprehensive benefit model. The result confirms that this scheduling model proposed can better adapt to the modern peak valley electricity price market and meet the requirements of the regulation of hydropower station by increasing the final comprehensive benefit.

关 键 词：综合效益 峰谷电价 混联水库 粒子群 蓄水价值 

分 类 号：TV122[水利工程—水文学及水资源]