1. 广东工业大学 自动化学院,广东,广州,510006
2. 南华大学 机械工程学院,湖南,衡阳,421000
符政鑫(1996–),男,硕士研究生,主要研究方向为气−电跨网需求侧响应、能源互联网
网络首发:2023-03-25,
纸质出版:2023
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符政鑫, 刘霜, 段意强, 朱伟东. 一种电网需求响应资源参与天然气市场的协调框架[J]. 广东工业大学学报, 2023, 40(2): 64-73.
Fu Zheng-xin, Liu Shuang, Duan Yi-qiang, et al. A Coordinated Framework for Power Demand Response Resources Participating in Gas Market[J]. 2023, 40(2): 64-73.
符政鑫, 刘霜, 段意强, 朱伟东. 一种电网需求响应资源参与天然气市场的协调框架[J]. 广东工业大学学报, 2023, 40(2): 64-73. DOI: 10.12052/gdutxb.210170.
Fu Zheng-xin, Liu Shuang, Duan Yi-qiang, et al. A Coordinated Framework for Power Demand Response Resources Participating in Gas Market[J]. 2023, 40(2): 64-73. DOI: 10.12052/gdutxb.210170.
能源互联网的提出与发展使不同的能源彼此转换成为可能。本文将电力系统的需求侧响应拓展到天然气网络中,建立了一个电网需求响应资源跨网支持天然气网络需求的协调市场与运营框架。在提出的框架中,以燃气轮机作为电−气双网的耦合点,利用电网需求响应资源替代耦合点燃气机组的部分出力,使燃气轮机省下部分天然气量,相当于将电力等效转化为天然气。此外,建立了电网需求响应资源跨网支持的成本模型,获取该资源的 “成本−等效天然气量”,参与天然气市场的竞争。同时,该需求响应资源在天然气市场的中标等效天然气量也将按照成本最低的原则分配给参与该过程的资源拥有者。最后,通过数值分析验证了所提模型和框架的可行性。该框架为电网需求响应资源支持天然气网络运行提供了良好的建议。
The proposal and development of the Energy Internet makes it possible to convert different energy network. Therefore
by expanding the demand response of the power system to the gas network
a coordinated market and operation framework for power demand response resources is established to support the demand of gas networks cross grid. In the proposed framework
the gas turbine is used as the coupling point of the electricity-gas dual grid
and the grid demand response resources are used to replace part of the output of the coupling point gas unit
so that the gas turbine saves part of the amount of natural gas
which is equivalent to converting power into gas. A cost model for cross-grid support of power demand response resources has been established to obtain the “Cost-Equivalent Gas Volume” of these resources to participate in the gas market competition. At the same time
the bid-winning equivalent gas volume of this demand response resources in the gas market will also be allocated to the resource owners participating in the process in accordance with the principle of lowest cost. Finally
the feasibility of the proposed model and framework is verified through numerical analysis. The framework provides good suggestions for power grid demand response resources to support natural gas network operation.
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