摘要
面对电力系统低碳化运行需求及多微网配电系统协同互动隐私问题,提出一种考虑多维联动碳减排策略的多微网配电系统分层分布式调度模型。首先,在微网内部引入碳捕集及其耦合设备,分析设备能流-碳流耦合机理,构建碳捕集-电转气协同的微网循环减碳模式;同时在微网用能端构建激励型需求响应机制,引导微网负荷侧调节用电时序,以提升碳捕集捕碳能效。其次,在配电网层引入碳排放流理论,通过节点碳势量化交互功率碳排放,便于碳责均摊,提升多微网与配电网间的协同互补减碳效益。最后,在碳配额及碳交易的优化运行机制下,通过上述多元化措施形成多维联动模式下的低碳运行策略,并基于目标级联理论的分层分布式方法对配电网与多微网耦合模型的交互变量进行解耦,实现各运营主体的分布式求解。仿真结果表明,所提调度方法可显著提升低碳经济运行水平,分布式调度策略可通过交互有限信息实现微网-配电网协同的精确快速求解,并能在大规模复杂系统和不同季节典型日算例中有效应用,具有一定泛用性。
To achieve low-carbon operation and protect privacy when a multi-microgrid(MMG)interacts with the distribution network(DN),this paper proposes a hierarchical distributed dispatch model for the multi-microgrid distribution system(MMDS)that considers multidimensional,linked carbon-emission reduction strategies.Firstly,the microgrid(MG)implements the carbon capture system(CCS)and its coupling equipment to establish a CCS-power to gas(P2G)cycle carbon reduction model under the conversion mechanism of energy flow and carbon flow.Furthermore,the load energy-use curve is optimized by an incentive demand response(DR)mechanism to enhance the energy efficiency of CCS,thereby facilitating low-carbon operation.Secondly,the carbon emission flow(CEF)theory is introduced at the DN level.It utilizes the node carbon potential as a signal for reducing carbon emission,which facilitates the equal sharing of carbon responsibility to quantify the interactive power and enhances the carbon reduction benefits of synergistic and complementary relationships between MMG and DN.Finally,under the optimal operation mechanism of carbon quota and carbon trading,a low-carbon operation strategy with a multi-dimensional linkage mode is formed through the above diversified measures.A hierarchical distributed approach based on analytical target cascading(ATC)is employed to decouple interaction variables and enable a distributed solution for each operating entity.The numerical results show that the proposed strategy can significantly improve carbon economic performance,and the distributed algorithm can deliver an accurate and effective solution with limited information.Furthermore,it can be effectively applied to large-scale,complex systems and typical day-to-day cases across different seasons,with a certain degree of general applicability.
作者
吕超贤
邢润发
梁睿
王颖
柴园园
瞿凯平
LYU Chaoxian;XING Runfa;LIANG Rui;WANG Ying;CHAI Yuanyuan;QU Kaiping(School of Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu Province,China;Key Laboratory of Measurement and Control of Complex System of Engineering(Southeast University),Ministry of Education,Nanjing 210096,Jiangsu Province,China;State Key Laboratory of Reliability and Intelligence of Electrical Equipment(Hebei University of Technology),Beichen District,Tianjin 300401,China)
出处
《电网技术》
北大核心
2026年第1期92-101,I0056-I0061,共16页
Power System Technology
基金
国家自然科学基金项目(52307154)
江苏省自然科学基金项目(BK20231076)
中央高校基本科研业务费专项资金(MCCSE2023A02)。
关键词
多微网配电系统
碳捕集
碳排放流
多维联动碳减排
目标级联法
multi-microgrid distribution system
carbon capture
carbon emission flow theory
multi-dimensional linked carbon emission reduction
analytical target cascading
