综合智慧能源 ›› 2024, Vol. 46 ›› Issue (4): 42-51.doi: 10.3969/j.issn.2097-0706.2024.04.006

• 综合能源系统资源规划 • 上一篇    下一篇

考虑多重不确定性的电-热-气综合能源系统协同优化方法

王京龙(), 王晖(), 杨野(), 郑颖颖()   

  1. 中国农业大学 信息与电气工程学院,北京 100083
  • 收稿日期:2023-12-04 修回日期:2024-01-03 出版日期:2024-04-25
  • 通讯作者: *郑颖颖(1987),女,教授,博士生导师,博士,从事韧性电网、电力交通融合、电力系统高性能计算研究,yyzheng@cau.edu.cn
  • 作者简介:王京龙(2000),男,硕士生,从事综合能源系统优化运行研究,jinglong_w@cau.edu.cn
    王晖(2001),男,硕士生,从事基于强化学习的综合能源系统优化运行研究,wang_hui@cau.edu.cn
    杨野(1998),男,博士生,从事综合能源系统优化运行研究,yang.ye@cau.edu.cn
  • 基金资助:
    国家自然科学基金项目(52207143)

Collaborative optimization method for power-heat-gas integrated energy systems considering multiple uncertainties

WANG Jinglong(), WANG Hui(), YANG Ye(), ZHENG Yingying()   

  1. College of Information and Electrical Engineering, China Agriculture University, Beijing 100083,China
  • Received:2023-12-04 Revised:2024-01-03 Published:2024-04-25
  • Supported by:
    National Natural Science Foundation of China(52207143)

摘要:

综合能源系统(IES)中风-光出力和负荷不确定性对系统的运行安全和规划提出了挑战。以包含光伏、生物质气化热电联产等设备的IES调度过程为例,提出一种集成随机规划-信息间隙决策理论(IGDT)的方法应对系统优化运行过程中源-荷侧的多重不确定性。随机规划方法处理光伏出力不确定性,并将优化结果作为IGDT处理负荷不确定性的基准值。其中,IGDT中的风险规避和风险寻求策略反映了系统管理者面对不确定性带来运行风险时的态度。结果表明,风险规避策略下生物质气化热电联产日电能输出总量高于风险寻求策略下生物质气化热电联产日电能输出总量的50%。不同策略下的调度结果差异性为系统管理者提供了灵活的选择。

关键词: 综合能源系统, 多重不确定性, 信息间隙决策理论, 随机规划, 生物质气化热电联产

Abstract:

The uncertainties of wind outputs, solar outputs and loads of integrated energy systems(IES) challenge IES operational safety and planning. To address this issue, an IES integrating photovoltaics(PV) units and a biomass gasification combined heating and power(BCHP) unit is studied. A scheduling method based on integrated stochastic programming and information gap decision theory(IGDT) is proposed to eliminate the uncertainties on the source side and user side of the IES during its collaborative optimization. Stochastic programming can deal with the short-term uncertainty of PV outputs, and its optimization results are taken as the benchmark of load uncertainty optimization by IGDT.While resisting the operational risks triggered by the uncertainties in IGDT optimization, the IES managers tend to choose two strategies, risk-aversion strategy and risk-taking strategy. The test results on the case demonstrate that the daily power output of the BCHP unit under risk-aversion strategy is 50% higher under that under risk-taking strategy. Different dispatching results under different strategies give system managers flexible choices.

Key words: integrated energy systems, multiple uncertainties, information gap decision theory, stochastic programming, biomass gasification combined heat and power

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