A hydraulic model-based emergency schedul- ing Decision Support System （DSS） is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources...A hydraulic model-based emergency schedul- ing Decision Support System （DSS） is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources. The DSS consists of four functional modules, including water quality prediction, system safety assessment, emergency strategy inference and scheduling optimization. The work flow of the DSS is as follows. First, the water quality variations on specific cross-sections are calculated given the pollution information. Next, a comprehensive evaluation on the safety of the current system is conducted using the outputs in the first module. This will assist in the assessment of whether the system is in danger of failure, taking both the impact of pollution and system capacity into account. If there is a severe impact of contamination on the reliability of the system, a fuzzy logic based inference module is employed to generate reason- able strategies including technical measures. Otherwise, a Genetic Algorithm （GA）-based optimization model will be used to find the least-cost scheduling plan. The proposed DSS has been applied to a coastal city in South China during a saline tide period as validation. Through scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling for the water company to quickly and effectively respond to sudden contamination incidents.展开更多
随着社会经济的发展和对生态保护需求的增强,以防洪和兴利为目标的传统水库综合调度已经不能满足多样化的需求,进行多目标的水库综合优化调度显得尤为重要。为实现皂市水库水资源综合效益最优化,平衡社会效益、经济效益和生态效益,面向...随着社会经济的发展和对生态保护需求的增强,以防洪和兴利为目标的传统水库综合调度已经不能满足多样化的需求,进行多目标的水库综合优化调度显得尤为重要。为实现皂市水库水资源综合效益最优化,平衡社会效益、经济效益和生态效益,面向水库的发电、供水和生态要求,在不同来水条件下建立基于多目标混合蛙跳差分进化算法(Multi-objective Shuffled Frog Leaping Differential Evolution Algorithm,MSFL-DEA)求解的皂市水库优化调度模型,并采用层次分析法(Analytic Hierarchy Process,AHP)与逼近理想点法(Technique for Oder Preference by Similarity to Ideal Solu⁃tion,TOPSIS)的组合赋权法进行不同决策偏好的方案优选。结果表明:随上游来水减少,水库的发电效益下降最为显著,其次为生态效益和供水效益;各来水频率下,生态与发电、供水与生态的竞争关系相对更为明显,发电与供水之间相对较弱;根据不同决策偏好,得出供水优先、发电优先、生态优先以及均衡优化4组方案,对比认为均衡方案偏向折中,且年内各月的供水、生态及发电过程也相对协调(以P=75%为例);该方案在来水频率分别为50%、75%和95%时,年发电量分别为3.697、2.981、2.155亿kWh,供水满足度为0.871、0.775、0.702,生态满足度为0.861、0.699、0.615。研究成果有利于提高水资源利用效率,为皂市水库的科学调度决策提供参考。展开更多
文摘A hydraulic model-based emergency schedul- ing Decision Support System （DSS） is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources. The DSS consists of four functional modules, including water quality prediction, system safety assessment, emergency strategy inference and scheduling optimization. The work flow of the DSS is as follows. First, the water quality variations on specific cross-sections are calculated given the pollution information. Next, a comprehensive evaluation on the safety of the current system is conducted using the outputs in the first module. This will assist in the assessment of whether the system is in danger of failure, taking both the impact of pollution and system capacity into account. If there is a severe impact of contamination on the reliability of the system, a fuzzy logic based inference module is employed to generate reason- able strategies including technical measures. Otherwise, a Genetic Algorithm （GA）-based optimization model will be used to find the least-cost scheduling plan. The proposed DSS has been applied to a coastal city in South China during a saline tide period as validation. Through scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling for the water company to quickly and effectively respond to sudden contamination incidents.
文摘随着社会经济的发展和对生态保护需求的增强,以防洪和兴利为目标的传统水库综合调度已经不能满足多样化的需求,进行多目标的水库综合优化调度显得尤为重要。为实现皂市水库水资源综合效益最优化,平衡社会效益、经济效益和生态效益,面向水库的发电、供水和生态要求,在不同来水条件下建立基于多目标混合蛙跳差分进化算法(Multi-objective Shuffled Frog Leaping Differential Evolution Algorithm,MSFL-DEA)求解的皂市水库优化调度模型,并采用层次分析法(Analytic Hierarchy Process,AHP)与逼近理想点法(Technique for Oder Preference by Similarity to Ideal Solu⁃tion,TOPSIS)的组合赋权法进行不同决策偏好的方案优选。结果表明:随上游来水减少,水库的发电效益下降最为显著,其次为生态效益和供水效益;各来水频率下,生态与发电、供水与生态的竞争关系相对更为明显,发电与供水之间相对较弱;根据不同决策偏好,得出供水优先、发电优先、生态优先以及均衡优化4组方案,对比认为均衡方案偏向折中,且年内各月的供水、生态及发电过程也相对协调(以P=75%为例);该方案在来水频率分别为50%、75%和95%时,年发电量分别为3.697、2.981、2.155亿kWh,供水满足度为0.871、0.775、0.702,生态满足度为0.861、0.699、0.615。研究成果有利于提高水资源利用效率,为皂市水库的科学调度决策提供参考。
