碳达峰约束下的省级电源规划方法

METHOD OF PROVINCIAL GENERATION PLANNING UNDER CONSTRAINT OF CARBON PEAKING

电力行业作为最大的碳排放来源,在实现碳达峰目标中扮演举足轻重的角色,而电源规划是调控碳排放的关键路径。为此,该文考虑不同容量机组度电煤耗与利用小时数差异,提出一种煤电机组群CO_(2)年排放总量计算方法,并在此基础上建立碳达峰约束下的省级电源规划多目标优化模型。该模型以系统总投资费用最少和规划期内CO_(2)排放总量最低为双重目标,并将预期的碳达峰实现年份区间引入约束条件。随后,提出一种基于蒙特卡洛模拟和NSGA-Ⅱ算法的多目标优化模型求解方法,以生成电源规划方案的Pareto最优解。利用所提方法对中国某省级电力系统进行电源规划,结果验证了所提方法的合理性和有效性。

As the largest source of carbon emissions,the power industry plays an important role in achieving the goal of carbon peaking,and power planning is the key path to regulate carbon emissions.To this end,considering the difference of utilization hours and coal consumption rate of coal-fired power units with different capacities,this paper proposes a calculation method for the total annual CO_(2) emission of coal-fired power units,and establishes a multi-objective optimization model of generation expansion planning for provincial power grid under the constraint of carbon peaking.The model takes the minimum total investment cost of the system and the minimum CO_(2) emission in the planning period as the dual objectives,and introduces constraint on the year when the carbon peak is achieved.Then,a multi-objective optimization model solution method based on Monte Carlo simulation and NSGA-Ⅱis proposed to generate the Pareto optimal solution of the multi-objective configuration scheme of power planning.The proposed method is used for power planning of a provincial power system in China,the results verify the rationality and effectiveness of the proposed method.