| 杨光,郭生练,刘攀,李立平,刘章君.PA-DDS算法在水库多目标优化调度中的应用[J].水利学报,2016,47(6):789-797 |
| PA-DDS算法在水库多目标优化调度中的应用 |
| PA-DDS algorithm for multi-objective reservoir operation |
| 投稿时间：2015-07-14 |
| DOI：10.13243/j.cnki.slxb.20150773 |
| 中文关键词: 调度图 多目标优化 PA-DDS算法 丹江口水库 |
| 英文关键词: operating rule curves multi-objective optimization PA-DDS algorithm Danjiangkou reservoir |
| 基金项目:国家自然科学基金项目(51539009,51422907) |
| 作者 | 单位 | | 杨光 | 武汉大学 水资源与水电工程科学国家重点实验室, 水资源安全保障湖北省协同创新中心, 湖北 武汉 430072 | | 郭生练 | 武汉大学 水资源与水电工程科学国家重点实验室, 水资源安全保障湖北省协同创新中心, 湖北 武汉 430072 | | 刘攀 | 武汉大学 水资源与水电工程科学国家重点实验室, 水资源安全保障湖北省协同创新中心, 湖北 武汉 430072 | | 李立平 | 武汉大学 水资源与水电工程科学国家重点实验室, 水资源安全保障湖北省协同创新中心, 湖北 武汉 430072 | | 刘章君 | 武汉大学 水资源与水电工程科学国家重点实验室, 水资源安全保障湖北省协同创新中心, 湖北 武汉 430072 |
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| 中文摘要: |
| Pareto存档动态维度搜索(Pareto-Archived Dynamically Dimensioned Search,PA-DDS)算法是一种求解多目标问题的随机搜索启发式算法。本文将PA-DDS算法引入考虑供水和发电的多目标优化模型优化水库调度图,与非支配排序遗传算法(Non-dominaled Sorting Genetic Algorithm Ⅱ, NSGA-Ⅱ)和多目标粒子群算法(Multi-Objec-tives Particlce Swarm Optimization,MOPSO)对比了收敛性,并在求得非劣解分布的均匀性和与理论Pareto前端的相似性方面与NSGA-Ⅱ进行比较,分析该算法求解水库多目标调度问题的优化性能,对比分析不同目标下的优化调度图。结果表明:PA-DDS算法能够得到更高质量的非劣解集,优化调度图与原设计调度图相比,能更有效协调供水和发电的矛盾,在小幅降低(0.96%)发电量的前提下显著提高(8.07%)水库供水量,平均每年增加经济效益0.55亿元。 |
| 英文摘要: |
| PA-DDS (Pareto-Archived Dynamically Dimensioned Search) is one of the multi-objective evolutionary algorithms designed to obtain multiple solutions,which offer different trade-off of the problem objectives. The algorithm was introduced into reservoir operating rule curves optimization for the targets of water supply and power generation, and compared with NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm Ⅱ) and MOPSO (Multi-Objective Particle Swarm Optimization) in convergence. Furthermore, the performance of PA-DDS and NSGA-Ⅱ are also analyzed in distribution and approximation between whole Pareto fronts of non-dominated solutions. The capacity of PA-DDS solving multi-objective reservoir operating problems and optimal rule curves were analyzed. It is shown that PA-DDS algorithm performs better than NSGA-Ⅱ algorithm in getting the non-dominated solutions. The optimized rule curves can effectively mitigate the conflict between water supply and power generation by dramatically increasing (8.07%) the water supply yield with slight decrease (0.96%) in power generation,and can improve the economic benefit by 55 million yuan annually. |
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