Article(id=1324696176179683536, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=0, articleNumber=, orderNo=null, doi=10.19666/j.rlfd.202606076, pmid=, cstr=, oa=1, hot=null, price=null, onlineType=2, articleFormat=null, articleType=null, articleTypeStr=, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793761780066, onlineDateStr=2026-11-04, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=null, onlineIssueDateStr=null, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793761780060, creator=18991841707, updateTime=1793761783443, updator=18991841707, issue=null, startPage=, endPage=, ext={EN=ArticleExt(id=1324696704284491812, articleId=1324696176179683536, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Research on coordinated low-carbon dispatch of multi-microgrids under the coupling of electricity and carbon price signals, columnId=null, journalTitle=Thermal Power Generation, columnName=, runingTitle=null, highlight=, articleAbstract=
[Objective]Under the increasing penetration of renewable energy, the coordinated operation of interconnected multi-microgrids faces the challenge of simultaneously improving economic efficiency, reducing carbon-emission-related costs, and mitigating load fluctuations. Existing dispatch methods generally treat electricity-price and carbon-cost signals as predetermined parameters, and the interaction among internal settlement prices, carbon-cost signals, and inter-microgrid power transactions is insufficiently considered. To address these issues, a coordinated low-carbon dispatch method for multi-microgrids under electricity-carbon market coupling is proposed.
[Methods]An interconnected multi-microgrid system consisting of three heterogeneous microgrids is established, incorporating wind power, photovoltaic generation, conventional generating units, energy storage systems, demand response, main-grid power exchange, and inter-microgrid power exchange. The 24-hour internal settlement electricity price and carbon-emission cost guidance coefficient are jointly optimized as decision variables. A discount-based pricing mechanism is introduced for inter-microgrid electricity transactions based on the internal settlement electricity price, thereby establishing a price linkage between internal power exchange and electricity trading with the main grid. On this basis, a coordinated low-carbon dispatch model is formulated by considering conventional-unit output, energy-storage charging and discharging, demand response, main-grid power exchange, inter-microgrid power exchange, and the corresponding operational constraints. An improved water flow optimization (IWFO) algorithm is developed to search for the electricity-carbon signal combinations. The algorithm incorporates opposition-based learning initialization, Lévy-flight-enhanced turbulence, a gravitational sinking-flow mechanism, and a Cauchy-Gaussian hybrid stagnation-escape strategy. For each candidate electricity-carbon signal combination, the corresponding multi-microgrid dispatch scheme is solved, and the comprehensive operating performance of the system is used to update the search process, thereby realizing the coordinated optimization of electricity-carbon signals and dispatch strategies.
[Results]The case-study results show that the dynamic electricity-carbon signals can promote the coordinated participation of energy storage, demand response, and inter-microgrid power exchange. Compared with the fixed electricity-carbon signal case, the total operating cost decreases from CNY 3,904.3 to CNY 3,808.7, representing a reduction of approximately 2.4%. The carbon-emission-related cost decreases by 10.7%, while the peak-to-valley load difference decreases by 18.2%. The results further show that joint optimization of the internal settlement electricity price and carbon-emission cost guidance coefficient provides more effective comprehensive regulation than optimization of either signal alone. Benchmark-function tests and ablation experiments also demonstrate the improved optimization performance of IWFO.
[Conclusion]The proposed method establishes a coordinated interaction among internal electricity-price signals, carbon-cost guidance, and multi-microgrid operating decisions. By coordinating conventional generation, energy storage, demand response, and inter-microgrid power exchange, the proposed approach promotes temporal and spatial complementarity among heterogeneous microgrids and improves the overall coordination among economic operation, carbon-emission-related cost control, and load regulation.
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【目的】针对高比例新能源接入条件下多微电网系统经济性与低碳性难以协同优化,以及电价、碳成本信号与微网内部交易之间协同作用不足的问题,提出一种电碳信号耦合下的多微电网协同低碳调度方法。
【方法】构建包含风电、光伏、常规机组、储能及需求响应的互联多微电网系统,将24 h园区内部动态结算电价和碳排放成本引导系数作为联合优化变量,并建立考虑机组出力、储能充放电和需求响应等的协同低碳调度模型。微网间交易采用基于内部结算电价的折扣定价机制,使内部功率互济与主网购售电形成价格联动。在此基础上,采用改进水流优化算法搜索电碳信号组合,根据系统综合运行性能更新搜索结果,实现电碳信号与运行策略的协同优化。
【结果】算例结果表明,在所提电碳信号引导下,储能、需求响应及微网间功率互济呈现出协同调节特征。与固定电碳信号模式相比,系统总运行成本由3 904.3元降至3 808.7元,降低约2.4%,碳成本降低10.7%,峰谷差降低18.2%。
【结论】所提方法能够通过内部电价与碳排放成本信号的联合优化协调多微电网运行行为,在满足各微电网供需平衡及设备运行约束的同时兼顾系统经济性、低碳性与负荷平抑效果。
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