综合能源系统的两阶段低碳经济调度,考虑电力和热力在源端和负载端的灵活解耦

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-10-18 DOI:10.1016/j.segan.2024.101552
Lijun Yang , Yejin Gao , Pei Zhang , Xiaolin Tan , Jiakun An
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引用次数: 0

摘要

在 "双碳 "目标下,为进一步提升新能源消纳水平,解决热电联产机组 "以热定电 "制约系统灵活性的问题,通过在源头和负荷两侧引入新型电热耦合设备,提出了电热灵活解耦的低碳经济规划策略。首先,考虑到绿色合成氨生产和掺氨燃烧技术低碳环保的特点,在源侧提出了风电(WT)-电力制氨(P2A)-热电联产机组-火电(TH)机组联合运行策略。该策略实现了弃风向绿色氨电-氨煤混合发电的转化、热电联产机组的解耦运行,促进了风电消纳和系统的低碳运行。其次,开发动态激励需求响应模型,满足负荷侧高比例分布式光伏就地消纳需求。动态激励价格引导分布式电热负荷改变响应容量,跟踪弃风弃光情况,实现电热负荷的灵活转换,并配合源侧促进电热解耦运行。在此基础上,考虑源、荷两侧电热耦合设备的灵活解耦能力,建立日前、日后两阶段低碳调度模型。在日前阶段,考虑源侧电-热-氨联合运行策略,集中调整电能和热能供应计划;在日内阶段,考虑电-热设备灵活调节范围和负荷侧热负荷惯性,结合源侧分布式集中调整电能和热能计划策略。最后,通过对不同情况的仿真,结果表明,与传统电采暖系统相比,考虑本文提出的调度策略的系统总成本降低了 82.69 万元,碳排放量减少了 1.2 吨,基本实现了风电和分布式光伏发电输出的消纳。本文提出的方案减少了碳排放,促进了风电和分布式光伏发电的消纳,能够达到低碳经济调度的目标。
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Two-stage low-carbon economic dispatch of an integrated energy system considering flexible decoupling of electricity and heat on sides of source and load
Under the goal of "double carbon", in order to further enhance the level of new energy consumption and solve the problem of restricting the flexibility of the system by "ordering power by heat" of combined heat and power (CHP) units, a low-carbon economic planning strategy with flexible decoupling of electricity and heat is proposed, by introducing a new type of electric-thermal coupling equipment on both sides of the source and load. Firstly, Consideration of the low-carbon and environmentally friendly characteristics of green ammonia production and ammonia-doped combustion technologies, a wind power(WT) – power to ammonia(P2A) - CHP units - thermal power (TH) units joint operation strategy is proposed on the source side. This strategy realizes the conversion of abandoned wind to green ammonia to ammonia coal hybrid generation, the decoupled operation of CHP units and promotes the consumption of wind power and the low-carbon operation of the system. Secondly, A dynamic incentive demand response model is developed to meet the demand of high proportion distributed PV in situ consumption on the load side. The dynamic incentive price guides the distributed power-to-heat load to change the response capacity, tracks the abandonment of wind and light, realizes the flexible conversion of power and heat load, and cooperates with the source side to promote the coupling operation of electric pyrolysis. On this basis, consider the flexible decoupling capability of electric-heat coupling equipment on both sides of the source and load to establish a two-phase low-carbon scheduling model for the day-before and day-after phases. In the day-ahead phase, the source-side electric-thermal-ammonia joint operation strategy is considered, and the electric and thermal energy supply plans are adjusted centrally; In the intra-day phase, the flexible adjustment range of power-to-heat devices and the heat load inertia on the load side are taken into account, and the electricity and heat planning strategies are adjusted in a distributed-centralised manner in conjunction with the source side. Finally, through the simulation of different cases, the results show that compared with the traditional electric heating system, the total cost of the system considering the scheduling strategy proposed in this paper decreases by ¥826,900, the carbon emission decreases by 1.2 t, and basically realises the consumption of wind power and distributed photovoltaic power output. The proposed scheme reduces carbon emissions, promotes the consumption of wind power and distributed photovoltaic output, and is able to reach the goal of low-carbon economic dispatch.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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