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基于模糊可行性分析的发电侧节能减排规划 被引量:1

Energy-saving and Emission Reduction Planning on Power Generation Side Based on Fuzzy Feasibility Analysis
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摘要 应对节能减排要求,针对发电侧能源活动之间及其与环境之间的复杂性和经济、技术、环境及能源资源可获得量等参数的不确定性,结合传统的不确定性规划和基于可行性分析的模糊规划,建立了发电侧节能减排不确定性优化模型。该模型以发电侧运行成本最小化为目标,集能源供应、转化和消费,转化技术的选择和技术的改扩建,电力生产和污染消减为一体,综合考虑了系统参数的区间和模糊不确定性,使规划结果更具有实际可操作性。同时将该模型应用于一个典型的电力系统发电侧规划中,产生了可行性的能源供应、电力生产、技术扩容、污染排放消减方案。 To meet the requirements of energy-saving and e- mission reduction, a feasibility based inexact optimization model was developed by introducing feasibility based fuzzy program into a traditional interval program frame. It could deal with the complexities between energy activities and en- vironmental systems, and uncertainties in economic, techni- cal, environmental parameters and parameters about energy resources availabilities during energy-saving and emission re- duction planning of power generation side. The objective of the model was to minimize the operation system costs, which consisted of costs from energy supply, conversion and con- sumption, renovations and expansions of conversion technol- ogies, electricity generation and pollutants reduction. More- over, the model could combine the uncertainties in system parameters expressed as intervals and fuzzy numbers into the optimization process, which would make the planning results more practical. Then the model was applied to a typical electric power system to support energy saving and emission reduction planning of generation side. Desired energy sup- ply, electricity generation, capacity expansion and emission reduction plans with minimized system costs had been gener- ated.
出处 《现代电力》 北大核心 2013年第2期83-88,共6页 Modern Electric Power
基金 教育部科学技术研究重大项目(311013)
关键词 节能减排 区间数 三角模糊数 不确定性规划 模糊可行性分析 energy-saving and emission reduction~ intervalnumbers~ triangle fuzzy numbers~ inexact planning fuzzyfeasibility analysis
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  • 1EKINCI E.Dispersion modeling:a tool for local air quality management[J].International Journal of Environment and Pollution,1998,10(2):254-260.
  • 2FEDRA K,HAURIE A.A decision support system for air quality management combining GIS and optimization techniques[J].International Journal of Environment and Pollution,1999,12(2/3):125-146.
  • 3LIU L,HUANG G H,LIU Y,et al.A fuzzy-stochastic robust programming model for regional air quality management under uncertainty[J].Engineering Optimization,2003,35(2):177-199.
  • 4LI Y P,HUANG G H,VEAWAB A,et al.Two-stage fuzzystochastic robust programming:a hybrid model for regional air quality managemen[J].Journal of the Air and Waste Management Association,2006,56(8):1070-1082.
  • 5LU H W,HUANG G H,LIU L,et al.An interval-parameter fuzzystochastic programming approach for air quality management under uncertainty[J].Environmental Engineering Science,2008,25(6):895-909.
  • 6OLIVEIRA C,ANTUNES C H.A multi-objective multi-sectoral economy-energy-environment model:application to Portugal[J].Energy,2011,36(5):2856-2866.
  • 7LYU Y,HUANG G H,LI Y P,et al.A two-stage inexact jointprobabilistic programming method for air quality management under uncertainty[J].Journal of Environmental Management,2011,292(3):813-826.
  • 8XU Y,SHAO L G,HUANG G H.An inexact fuzzy-randomchance-constrained air quality management model[J].Stochastic Environmental Research and Risk Assessment,2013,27(8):1929-1946.
  • 9CHEN W T,LI Y P,HUANG G H,et al.A two-stage inexactstochastic programming model for planning carbon dioxide emission trading under uncertainty[J].Applied Energy,2010,87(3):1033-1047.
  • 10WATANABE T,ELLIS H.Stochastic-programming models for airquality management[J].Computers and Operations Research,1993,20(6):651-663.

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