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面向节能降碳的冶炼企业风光储多目标协同定容方法 被引量:4

Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind,Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction
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摘要 在考虑新能源不确定性和用户碳排放的基础上,提出一种考虑经济、清洁的冶炼企业储能多目标定容优化方法,建立储能双层优化模型,上层模型对已经或计划安装新能源的冶炼工业大用户进行储能配置优化,下层模型对储能时序出力进行优化。首先,基于风、光、储三者的充、放电特性,分别构建风、光出力的随机不确定模型和储能充放电模型;其次,建立冶炼行业碳排放核算模型,根据用户产量、电力负荷情况计算碳排总量及电力消耗产生的碳排量,给出对应的减碳策略;然后,基于潜在的碳排放成本,制定以经济效益最大、成本及碳排放总量最小为多目标,考虑系统安全运行约束下的企业储能最优容量;最后,以某炼铜企业为例,采用所提方法优化阶梯容量的风、光新能源接入下的储能容量,仿真结果验证了所提方法的有效性。 Considering the uncertainty of new energy and the carbon emissions of users,a multi-objective capacity determination optimization method for energy storage of smelting enterprises considering economy and cleanliness is proposed.A two-layer energy storage optimization model is established,in which the upper layer model optimizes the energy storage configuration for large users in smelting industry who have installed or plan to install new energy power generation,and the lower layer model optimizes the timing output of energy storage.Firstly,based on the charging and discharging characteristics of wind,photovoltaic and storage,a random uncertainty model of wind and photovoltaic output and a charging and discharging model of energy storage are constructed respectively.Then,a carbon emission accounting model of smelting industry is established to calculate the total carbon emissions and carbon emissions generated by power consumption according to the user output and power load,and the corresponding carbon reduction strategy is given.And then,based on the cost of potential carbon emissions,the maximum economic benefits and minimum cost and total carbon emissions are set as multi-objectives,and the optimal energy storage capacity of enterprises is obtained under the constraints of system safe operation.Finally,taking a copper smelting enterprise as an example,the proposed method is used to optimize the energy storage capacity under the access of wind and photovoltaic with ladder capacity.The simulation results have verified the effectiveness of the proposed method.
作者 朱文广 王伟 欧阳斌 张华 王欣 马瑞 ZHU Wenguang;WANG Wei;OUYANG Bin;ZHANG Hua;WANG Xin;MA Rui(Economic and Technological Research Institute,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330043,China;College of Electrical and Information Engineering,Changsha University of Science&Technology,Changsha 410114,China)
出处 《中国电力》 CSCD 北大核心 2023年第11期86-94,共9页 Electric Power
基金 国家自然科学基金资助项目(51977012) 国网江西省电力公司科技项目(521825220001)。
关键词 新能源不确定性 碳排放 储能配置 多目标定容优化 时序优化 new energy uncertainty carbon emissions energy storage configuration multi-target capacity determination timing optimization
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