计及环境成本的电力系统负荷分配优化模型  

Optimization Model of Power System's Load Dispatch Considering Environmental Cost

作　　者：王宝[1] 叶彬[1] 薛盘安 马静[1] 李泓泽[3] 

机构地区：[1]国网安徽省电力公司经济技术研究院,安徽合肥230022 [2]国网陕西省电力公司电力科学研究院,陕西西安710100 [3]华北电力大学经济与管理学院,北京102206

出　　处：《陕西电力》2017年第1期68-72,81,共6页Shanxi Electric Power

基　　金：国家自然基金项目资助(71373076)

摘　　要：燃煤机组发电时排放大量的CO_2等气体对环境造成一定的负外部性。通过引入气体排放的环境成本,将煤耗经济性与其环境成本有机结合后构建了满足节能减排要求的负荷分配优化模型,借助量子遗传算法对该模型进行了有效求解,并以某电力系统一典型日为例加以分析,同时探讨了部分机组加装脱硫脱硝装置后系统负荷分配变化情况。结果表明:该负荷分配优化模型能有效兼顾节能减排目标,并有助于激发燃煤电厂采取诸如加装脱硫脱硝装置等减排技术的积极性。When coal-fired units work, the plenty of gases emission including CO,, exerts a certain negative externality on the environment. With the environmental cost of gases emission introduced, this paper organically combines the coal consumption economy and environmental cost of coal-fired units to establish the optimization model of power system＇ s load dispatch that meets the requirement of energy saving and emission reduction. This model is effectively solved by using quantum genetic algorithm. Taking a typical day of a power system as an instance, the paper carries out the analysis, and discusses the change in the power system＇s load dispatch ＇after some units are equipped with desulphurization and denitration devices. The results demonstrate that this load dispatch model considering environmental cost can effectively balance energy saving and emission reduction objectives, and is also helpful to motivate the initiative of coal-fired power plants in adopting emission reduction techniques such as installing the desulphurization and denitration devices.

关 键 词：环境成本 煤耗经济性 负荷分配 节能减排 量子遗传算法 

分 类 号：TM732[电气工程—电力系统及自动化]