基于SEOA算法的抽水蓄能梯级水库调度研究

doi:10.16180/j.cnki.issn1007-7820.2019.07.004

电子科技 ›› 2019, Vol. 32 ›› Issue (7): 17-21.doi: 10.16180/j.cnki.issn1007-7820.2019.07.004

基于SEOA算法的抽水蓄能梯级水库调度研究

张雪映,吴小婷,Daniel Eliote Mbanze,周正威

三峡大学梯级水电站运行与控制湖北省重点实验室,湖北宜昌 443002

收稿日期:2018-07-27 出版日期:2019-07-15 发布日期:2019-08-14
作者简介:张雪映(1993-),男,硕士研究生。研究方向:电力系统优化调度。
基金资助:
梯级水电站运行与控制湖北省重点实验室(三峡大学)开放基金(2013KJX08)

Research on Scheduling of Pumped Storage Cascade Reservoir Based on SEOA Algorithm

ZHANG Xueying,WU Xiaoting,Daniel Eiliote Mbanze,ZHOU Zhengwei

Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station,China Three Gorges University,Yichang 443002,China

Received:2018-07-27 Online:2019-07-15 Published:2019-08-14
Supported by:
Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University Open-end Fund(2013KJX08)

摘要/Abstract

摘要：

针对含混合式抽水蓄能电站的梯级水库发电调度的维数灾问题,在考虑历史径流序列随机性和非线性特点的基础上,建立含混合式抽水蓄能电站的梯级水库长期优化调度模型。文中以调度期内混合式抽水蓄能电站梯级水库发电量最大为目标函数,引入改进社会情态优化(SEOA)算法编程求解。仿真结果表明,新方法在混合式抽水蓄能电站梯级水库发电优化调度问题中既能减少传统算法的冗余计算,又可有效地结合决策者的主观偏好和利益倾向。对比动态规划算法,新方法在较短时间内得到年发电量为66.96×10 ⁸ kWh的高质量解。

关键词: 混合式蓄能水电站, 水库调度, 社会情态算法, 动态规划, 发电量, 梯级水库

Abstract:

Aim ing at the curse of dimensionality of power generation dispatching in cascade reservoirs with hybrid pumped storage power stations,based on the randomness and nonlinear characteristics of historical runoff series,a longterm optimal dispatching model of cascade reservoirs with hybrid pumped storage power stations was established.In the scheduling period,the maximum generating capacity of the cascade pumped storage power station was selected as the objective function,and the improved social emotional optimization algorithm was introduced to solve the problem.Taking a mixed flow cascade power station as an example,the simulation results showed that the new method could reduce the redundant calculation of traditional algorithms,and effectively combined the decision-maker’s subjective preference as well as interest propensity in the optimal operation of cascade type reservoirs in hybrid pumped storage power stations. Compared with the dynamic programming algorithm,the new method used a high-quality solution with an annual power generation of 66.96×10⁸ kWh in a short period of time.

Key words: hybrid storage hydropower station, reservoir operation, social emotional optimization algorithm, dynamic programming, electricity generation, cascade reservoir

中图分类号:

张雪映,吴小婷,Daniel Eliote Mbanze,周正威. 基于SEOA算法的抽水蓄能梯级水库调度研究[J]. 电子科技, 2019, 32(7): 17-21.

ZHANG Xueying,WU Xiaoting,Daniel Eiliote Mbanze,ZHOU Zhengwei. Research on Scheduling of Pumped Storage Cascade Reservoir Based on SEOA Algorithm[J]. Electronic Science and Technology, 2019, 32(7): 17-21.

图/表 3

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算法名称	年发电量	算法用时
方式1(动态规划)	68.403×10e⁸ kWh	51.2 min
方式2(社会情感优化算法)	66.96×10e⁸ kWh	8.1 min

基于SEOA算法的抽水蓄能梯级水库调度研究

Research on Scheduling of Pumped Storage Cascade Reservoir Based on SEOA Algorithm

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