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1. 西南石油大学电气信息学院,四川省 成都市 610500
2. 南京南瑞水利水电科技有限公司,江苏省 南京市 211000
3. 成都岷山绿氢能源有限公司,四川 成都市 610094
Received:27 February 2022,
Revised:2022-07-18,
Published Online:15 August 2022,
Published:10 September 2022
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李茜,宾帆,张安安等.基于复合能源管道供能的区域综合能源系统优化运行[J].电力系统自动化,2022,46(17):91-101.
LI Qian,BIN Fan,ZHANG An’an,et al.Optimal Operation of Regional Integrated Energy System Based on Energy Supply Through Composite Energy Pipeline[J].Automation of Electric Power Systems,2022,46(17):91-101.
李茜,宾帆,张安安等.基于复合能源管道供能的区域综合能源系统优化运行[J].电力系统自动化,2022,46(17):91-101. DOI: 10.7500/AEPS20220227011.
LI Qian,BIN Fan,ZHANG An’an,et al.Optimal Operation of Regional Integrated Energy System Based on Energy Supply Through Composite Energy Pipeline[J].Automation of Electric Power Systems,2022,46(17):91-101. DOI: 10.7500/AEPS20220227011.
“双碳”背景下,大规模开发利用低碳和清洁能源是中国能源转型过程的必经之路。复合能源管道(CEP)实现了电能与液化天然气的同时输送,其传输损耗低,是当前能源传输的重要发展方向。针对中心城市等负荷集中区域能源密集程度和耦合程度显著提升等问题,构建了基于CEP供能的新型区域综合能源系统。该系统考虑了CEP冷能的梯级利用,实现了电、气、冷、热等多能耦合互补,提高了系统能源利用率。为提升系统运行的经济性,以系统购能成本、运维成本为目标,建立了考虑系统电-气综合需求响应的优化调度模型。最后,通过算例仿真,对比分析了不同场景下系统能流的优化调度结果,验证了所提系统和优化模型的可行性与经济性。
In the background of “carbon emission peak and carbon neutrality”
the large-scale development and utilization of low-carbon and clean energy is the only way for China’s energy transition process. Composite energy pipeline (CEP) realizes the simultaneous transmission of electric energy and liquefied natural gas (LNG) with low transmission loss
which is an important development direction of energy transmission at present. In view of the significant increase in energy intensity and coupling degree in load-concentrated areas such as central cities
a new regional integrated energy system (RIES) based on the energy supply through CEP is constructed. The system considers the cascade utilization of CEP cooling energy
realizes the multi-energy coupling and complementation of electricity
gas
cooling and heat
and improves the energy utilization rate of the system. In order to improve the economy of system operation
an optimal dispatch model considering the electricity-gas integrated demand response of the system is established with the objectives of system energy purchase cost
and operation and maintenance cost. Finally
through simulation example
the optimal dispatch results of system energy flow in different scenarios are compared and analyzed
and the feasibility and effectiveness of the proposed system and optimization model are verified.
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