基于需求侧减排的节能调度及其改进NSGA—II算法
提出一种基于需求侧减排的节能调度方法，在此基础上，建立基于火电机组负荷分配和需求控制方案最优的双层优化模型，设计了迭代算法，并利用改进NSGA-II法对下层多目标模型进行求解。算例分析表明，该模型在保证电网运行经济性的前提下，能使发电和需求侧的污染物排放水平显著降低，并能提供各发电机组的调度方案及需求的控制方案，具有一定的实用性；所提出的改进NSGA—II法与一般NSGA-II法、多目标遗传算法相比，能改善帕雷托解集的空间分布，降低迭代次数，因此性能更优。...
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| Published in: | 电力系统保护与控制 Vol. 40; no. 16; pp. 42 - 48 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | Chinese |
| Published: |
四川大学电气信息学院,智能电网四川省重点实验室,四川 成都610065%伊利诺斯理工大学阿默工程学院,美国 芝加哥60616
2012
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| Online Access: | Get full text |
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| Summary: | 提出一种基于需求侧减排的节能调度方法，在此基础上，建立基于火电机组负荷分配和需求控制方案最优的双层优化模型，设计了迭代算法，并利用改进NSGA-II法对下层多目标模型进行求解。算例分析表明，该模型在保证电网运行经济性的前提下，能使发电和需求侧的污染物排放水平显著降低，并能提供各发电机组的调度方案及需求的控制方案，具有一定的实用性；所提出的改进NSGA—II法与一般NSGA-II法、多目标遗传算法相比，能改善帕雷托解集的空间分布，降低迭代次数，因此性能更优。 |
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| Bibliography: | energy saving dispatch; emission reduction of demand side; economic; bi-level optimization; genetic algorithm; NSGA-II ZHANG Peng, LIU Ji-chun, TIAN Wei （1. Intelligent Electric Power Grid Key Laboratory of Sichuan Province, College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China; 2. Armour College of Engineering in Illinois Institute of Technology, Chicago 60616, USA） This paper proposes an energy-saving dispatch method based on emission reduction of demand side, then establishes a bi-level optimization model based on the optimal allocation plan of thermal units and interruptible loads, and solves the problem with the utilization of improved NSGA-II and iteration algorithm. The case study Shows that this model can decrease the pollutants at both generation side and demand side significantly with guaranteeing the economic of power grid operation. The model can also give the dispatch schedule of thermal units and interruptible loads accurately and thus has some pra |
| ISSN: | 1674-3415 |
| DOI: | 10.3969/j.issn.1674-3415.2012.16.007 |