考虑绿证交易及碳排放约束的含风光储微网低碳优化调度OACSTPCD
Low-carbon optimal scheduling for hybrid wind/PV/storage microgrids considering GEC trading and carbon emission constraints
在"双碳"战略背景下,为进一步降低微网的碳排放和促进风光消纳,提出一种考虑绿证交易及碳排放约束的含风光储微网低碳优化调度策略.以微网系统整体运行成本最小为目标,在微网系统运行约束中考虑绿证交易情景并引入碳排放成本,建立考虑绿证交易及碳排放约束的含风光储微网低碳优化调度模型,采用MATLAB YALMIP工具箱和Gurobi求解器进行仿真求解.仿真结果表明,该模型可有效降低系统的经济成本和碳排放量,同时兼顾了环境效益,为微网低碳调度提供了一种有效手段.
Under the"dual carbon"strategy aimed at further reducing carbon emissions and improving wind and PV power consumption,this study proposes a low-carbon optimal scheduling strategy for hybrid wind/PV/storage mi-crogrids considering green electricity certificate(GEC)trading and carbon emission constraints.With the goal of minimizing the overall operational costs of the microgrid systems,the GEC trading scenario is considered along with constraints of microgrid operation.Moreover,the cost of carbon emissions is introduced.A low-carbon optimal scheduling model for hybrid wind/PV/storage microgrids considering GEC trading and carbon emission constraints is established.The model is simulated and solved using the YALMIP toolbox in MATLAB and the Gurobi optimizer re-spectively.The simulation results demonstrate that the model effectively minimizes both the economic costs and car-bon emissions of the system,while taking into account environmental benefits.This provides an efficient approach for the low-carbon scheduling of microgrids.
刘奕辰;肖红谊;刘晓宏;于相宜;张运;吕干云;李欣
南京工程学院 电力工程学院,南京 211167国网江苏省电力有限公司盐城供电分公司,江苏 盐城 224000
微网碳排放约束绿证交易优化调度
microgridcarbon emission constraintGEC tradingoptimal scheduling
《浙江电力》 2024 (008)
66-73 / 8
国家自然科学基金(51577086);江苏"六大人才高峰"项目(TD-XNY004)
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