山东电力技术2025，Vol.52Issue(9)：10-22,13.DOI:10.20097/j.cnki.issn1007-9904.2025.09.002
计及网损的碳排放流配电优化运行
Optimal Operation of Distribution Networks With Carbon Emission Flow Considering Network Losses
摘要
Abstract
Under the background of the"Carbon Peak and Carbon Neutrality"goals,the integration of carbon emission flow with the optimal operation of distribution networks is a key research focus.Based on this,this paper proposes an optimal operation model for distribution networks based on the carbon emission flow calculation method for lossy networks.Firstly,a network equivalence method for lossy networks using complex power is proposed,and the updated system power flow is utilized to calculate the new nodal carbon potential.Secondly,an optimal dispatch model for distribution networks based on second-order cone power flow programming is established,incorporating a demand response model.This model guides electricity users to adjust their consumption behavior during peak hours or system emergencies,enabling flexible load regulation.Thirdly,the model is constructed with the objectives of minimizing the total operating cost and carbon emissions of the distribution network.Finally,the feasibility of the carbon emission flow calculation method is verified using a two-machine four-node system,and simulation analysis is conducted on the modified 33-node system,and three comparative scenarios are provided to analyze the algorithm effectiveness.The experimental results demonstrate that the proposed carbon emission flow calculation method can improve the accuracy of carbon flow,and the proposed model can effectively reduce carbon emissions and operating costs while ensuring computational efficiency,showing promising application prospects.关键词
碳排放流计算/优化调度模型/需求响应/节点碳势/二阶锥模型Key words
carbon emission flow calculation/optimal dispatch model/demand response/nodal carbon potential/second-order cone model分类
信息技术与安全科学引用本文复制引用
徐建军,王贝,彭程,赵书琪..计及网损的碳排放流配电优化运行[J].山东电力技术,2025,52(9):10-22,13.基金项目
黑龙江省自然科学基金(LH2019E016) （LH2019E016）
黑龙江省重点研发计划(2024ZXJ01A04). Natural Science Foundation of Heilongjiang Province(LH2019E016) （2024ZXJ01A04）
Key Research and Development Program of Heilongjiang Province(2024ZXJ01A04). （2024ZXJ01A04）
