考虑碳排放约束的工业园区高耗能负荷互动决策方法OA
Interactive Decision-making Method for Energy-intensive Loads in Industrial Parks Considering Carbon Emission Constraints
在满足碳约束的同时实现多维度负荷优化及与电网互动,是高耗能工业用户能量管理需要解决的问题.为此,文中提出一种考虑负荷调度优先级和碳排放约束的高耗能工业负荷互动决策方法.首先,从经济效益、环境影响以及电力系统稳定性3个维度出发,构建负荷调度综合评价体系,评估高耗能工业负荷参与调度优化的优先级.然后,提出考虑碳排放成本的工业负荷互动决策模型,并采用增强雾凇优化算法求解最优化问题,实现效率求解与准确度提升.算例分析验证了所提方法可以有效减少园区在典型削峰场景下的调度成本,引导高耗能行业降低碳排放.
Achieving multi-dimensional load optimization and interaction with the power grid while meeting carbon constraints is a problem that energy-intensive industrial users need to solve in the energy management.Therefore,an interactive decision-making method for energy-intensive industrial loads considering load scheduling priorities and carbon emission constraints is proposed.First,starting from the three dimensions of economic benefits,environmental impact,and power system stability,a comprehensive evaluation system for load scheduling is constructed to assess the priority of energy-intensive industrial loads participating in scheduling optimization.Then,an interactive decision-making model of industrial load considering carbon emission cost is proposed,and the enhanced rime optimization algorithm is used to solve the optimization problem,achieving efficient solution and accuracy improvement.The case analysis verifies that the proposed method can effectively reduce the scheduling cost of industrial parks in typical peak-shaving scenarios,and guide energy-intensive industries to reduce carbon emissions.
孔祥玉;于凡凡;张祖锋;周慧慧;段梅梅;方凯杰
天津市新能源电力变换传输与智能控制重点实验室(天津理工大学),天津市 300384||智能配用电装备与系统全国重点实验室(天津大学),天津市 300072天津市新能源电力变换传输与智能控制重点实验室(天津理工大学),天津市 300384天津市新能源电力变换传输与智能控制重点实验室(天津理工大学),天津市 300384智能配用电装备与系统全国重点实验室(天津大学),天津市 300072国网江苏省电力有限公司营销服务中心,江苏省 南京市 210019国网江苏省电力有限公司营销服务中心,江苏省 南京市 210019
高能耗工业负荷工业园区负荷调度综合评价体系碳排放能量管理互动决策雾凇优化算法
energy-intensive industrial loadindustrial parkload schedulingcomprehensive evaluation systemcarbon emissionenergy managementinteractive decision-makingrime optimization algorithm
《电力系统自动化》 2026 (5)
33-43,11
国家电网公司科技项目(5400-202418217A-1-1-ZN). This work is supported by State Grid Corporation of China(No.5400-202418217A-1-1-ZN).
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