电网技术2012，Vol.36Issue(1)：219-223,5.
节能减排目标下燃煤机组电量分配模糊优化模型
A Fuzzy Optimization Model for Allocation of Generated Energy Among Coal-Fired Units With Targets of Energy Saving and Emission Reduction
摘要
Abstract
Power sector is the key industry to pursue the policy of energy saving and emission reduction, and ＂replacing the low-capacity generation units with high-capacity ones＂ becomes the important manner to implement energy-saving and emission reduction in power sector. Taking the minimum coal consumption and the least emission of carbon dioxide as objects, a optimization model for the allocation of generated energy among coal-fired units with targets of energy saving and emission reduction is built and by mean of defining the membership functions of the two objects respectively the objects are fuzzified; then by use of satisfaction index the dual object problem is solved by turning the dual object problem into single object problems. Case analysis results show that the built model can rationally allocate generated energy among coal-fired units under the condition of satisfying the objects of minimum coal consumption and least emission of carbon dioxide; comparing with the planned allocation mode of generated energy, less generated energy is allocated to low-capacity coal-fired units with rated capacity of IOOMW and lower while major generated energy is allocated to high-capacity coal-fired units with acceptable coal consumption and emission of carbon dioxide. Comparing with single object model, the proposed dual-object model can consider both coal consumption and emission reduction simultaneously, so it may offer more accurate foundation for quantitative analysis during making policy of energy saving and emission reduction in power sector.关键词
节能减排/燃煤机组/电量分配：模糊优化模型Key words
energy saving and emission reduction/coal-fired units/allocation of generated energy/fuzzyoptimization model分类
信息技术与安全科学引用本文复制引用
谭忠富,于超..节能减排目标下燃煤机组电量分配模糊优化模型[J].电网技术,2012,36(1):219-223,5.基金项目
基金项目：国家自然科学基金项目（71071053）.ProjectSuppoaedbyNationalNaturalScienceFoundationofChma（71071053）. （）
