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基于按需比例分配机制的风光火氢多时间尺度协同规划

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随着高比例新能源新型电力系统的灵活性需求增加,制定灵活性资源市场运营机制实时平衡大规模新能源出力波动性和不确定性十分重要.为此,文中提出一种基于按需比例分配机制的风光火氢协同规划方法.首先,制定风/光场站和氢储能系统的三阶段协调运行策略,根据按需比例分配机制进行风/光场站间功率交易,协调风电场和光伏电站的收益和支出,由火电和氢储能系统提供运行灵活性,采用固定利润比例模型保证氢储能系统的收益稳定性;然后,综合考虑投资决策和运行模拟,将功率交易成本和灵活性资源调节成本纳入优化目标,建立以风光为主体电源,以火电和氢储能为辅助电源的多时间尺度协调规划模型;最后,以中国东北某省级电网为算例进行分析.结果表明,采用文中所提方法进行电源规划可以兼顾经济性和环保性,降低灵活性资源需求和投资成本,提高风/光场站的功率利用率.
Multi-timescale coordinated planning for wind-photovoltaic-thermal-hydrogen based on a demand proportional allocation mechanism
As the flexibility needs of new power systems with a high share of new energy sources increase,it is important to develop a flexibility resource market operation mechanism to balance the volatility and uncertainty of large-scale new energy output in real time.To this end,a wind-photovoltaic-thermal-hydrogen coordinated planning method based on a demand proportional allocation mechanism(DPAM)is proposed in the paper.Firstly,a three-phase coordinated operation strategy for wind and photovoltaic systems with hydrogen storage is formulated.Inter-station power trading between wind and photovoltaic based on DPAM coordinates the revenues and expenditures of wind and photovoltaic stations.Thermal power and hydrogen storage systems are used to provide operational flexibility,and a fixed-profit-proportional model is used to ensure the stability of hydrogen storage system revenues.Then,integrating the investment decision and operation simulation,power trading costs and flexibility resource regulation costs are incorporated in the optimization objective.A multi-timescale coordinated planning model with wind serving as the primary power source and thermal power and hydrogen storage as the auxiliary power sources is established.Finally,a provincial grid in northeast China is used as an example for analysis.The results show that the proposed methodology can be used for power planning in an economical and environmentally friendly way,reducing flexibility resource requirements and investment costs while incrersing the power utilization of wind and photovoltaic stations.

flexibilitydemand proportional allocation mechanismhydrogen storage systemwind-photovoltaic-thermal collabora-tive optimizationcoordinated planning on multiple time scalesfixed-profit-proportional model

范宏、李婷、严嘉鑫、孙岩、张衡、贾庆山

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上海电力大学电气工程学院,上海 200090

上海交通大学(电力传输与功率变换控制教育部重点实验室),上海 200240

清华大学自动化系智能与网络化系统研究中心,北京 100084

灵活性 按需比例分配 氢储能系统 风光火协同优化 多时间尺度协调规划 固定利润模型

国家重点研发计划

2022YFA1004600

2024

10.12158/j.2096-3203.2024.02.004

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子：0.969
ISSN：2096-3203
年,卷(期)：2024.43(2)
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