考虑碳权交易和风荷预测误差随机性的环境经济调度  

Environmental and Economic Dispatch Considering Carbon Trading Credit and Randomicity of Wind Power and Load Forecast Error

作　　者：马燕峰[1] 范振亚[1] 刘伟东[1] 赵书强[1] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),河北省保定市071003

出　　处：《电网技术》2016年第2期412-418,共7页Power System Technology

基　　金：中央高校基本科研业务费专项资金资助项目(2014MS88);国家电网公司大电网重大专项资助项目(SGCC-MPLG 019-2012)

摘　　要：在低碳经济背景下,碳交易的引入及风电接入电网成为实现低碳减排的重要手段和方式。为此,建立了考虑碳交易与风荷预测误差的多目标环境经济调度模型。在经济目标函数中引入碳交易成本,基于碳排放量将碳交易成本分为碳收益、碳权成本、过排放罚金3部分,通过碳权购买裕度控制碳交易成本;模型中考虑污染物排放量最小目标函数,进一步促进系统调度的低碳减排。基于机会约束规划理论处理负荷及风电的不确定性,将其转换成负荷预测误差和风电功率预测误差的不确定性进行处理,并基于正态分布理论将不确定性模型转化成其确定等价类模型进行求解。在模型求解时,采用非支配排序遗传算法实现混合整数多目标优化问题的求解,算例分析表明在碳交易政策下,可以通过合理的碳权购买裕度及引入污染物排放量目标来实现环境经济调度,从而证明了模型的合理性和有效性。Under background of low carbon economy, introduction of carbon trading and integration of wind power are critical means and ways to realize carbon emission reduction in power system. Therefore, multi-objective economic scheduling model considering carbon trading and prediction error of wind power is established. Carbon trading cost is introduced into economic objective function. Based on carbon emission amount, carbon trading cost consists of three parts： carbon earnings, carbon credit cost and excessive emission penalty. Carbon trading cost is adjusted with carbon credit purchase margin. Minimal emission is proposed in environmental objective function to make further efforts to reduce emission. Theory of chance constrained programming is introduced to solve uncertainty of load and wind power, where uncertainty is transformed to load and wind power forecasting errors and the model is transformed to a deterministic equivalent one to solve this problem based on normal distribution theory. Non-dominated sorting genetic algorithm（NSGA-II） is proposed to solve this mixed integer multi-objective optimization problem. Case study result shows that environmental economic dispatch can be achieved through reasonable carbon power purchase margin and introduction of pollutant emission targets under carbon trading policy. Rationality and validity of the proposed model is verified with the case study.

关 键 词：电力系统 环境经济调度 碳交易 机会约束规划 旋转备用 

分 类 号：TM734[电气工程—电力系统及自动化]