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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.中国石油天然气股份有限公司西南油气田分公司,四川省成都市 610051
3.英国卡迪夫大学工程学院,卡迪夫 CF24 3AA,英国
Received:08 September 2019,
Revised:2019-10-28,
Published Online:21 February 2020,
Published:25 April 2020
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张安安,冯雅婷,林冬等.考虑天然气压力能综合利用的微能网气-电需求响应模型[J].电力系统自动化,2020,44(8):19-27.
ZHANG An’an,FENG Yating,LIN Dong,et al.Gas-Electricity Demand Response Model for Micro-energy Grid Considering Comprehensive Utilization of Natural Gas Pressure Energy[J].Automation of Electric Power Systems,2020,44(8):19-27.
张安安,冯雅婷,林冬等.考虑天然气压力能综合利用的微能网气-电需求响应模型[J].电力系统自动化,2020,44(8):19-27. DOI: 10.7500/AEPS20190908003.
ZHANG An’an,FENG Yating,LIN Dong,et al.Gas-Electricity Demand Response Model for Micro-energy Grid Considering Comprehensive Utilization of Natural Gas Pressure Energy[J].Automation of Electric Power Systems,2020,44(8):19-27. DOI: 10.7500/AEPS20190908003.
针对天然气压力能利用模式单一及调压站冷能利用困难导致的能源利用率低等问题,提出天然气高压管网压力能发电和冷能综合利用集成方案,并针对调压站地理特性及各能源供给波动性导致的能源供应不稳定等问题,构建了天然气压力能与电、气、冷、热等多种能源相结合的微型综合能源网架构,实现其多能耦合互补;同时,通过价格型和激励型2类响应建立气-电综合需求响应模型,前者基于价格弹性矩阵建立气负荷和电负荷的需求响应模型,后者通过补贴激励的方式对天然气管网进行调峰。综合考虑该微型综合能源网的能耗成本、运维成本、环境成本及需求响应,构建考虑天然气压力能综合利用的微能网气-电需求响应优化调度模型,计算分析了不同场景下微能网电-气-冷能的优化调度结果,对所提出的集成方案及气-电需求响应模型的可行性与有效性进行了验证。
Aiming at the low energy utilization rate caused by the single utilization mode of natural gas pressure energy and the difficulty of cold energy utilization in the pressure regulating stations
this paper proposes an integrated scheme of pressure energy generation and comprehensive cold energy utilization of natural gas high-pressure pipe network. Considering the instability of energy supply caused by the geographical characteristics of the pressure regulating station
the structure of an integrated micro-energy grid is constructed. It combines natural gas pressure energy with various energy sources such as electricity
gas
cold and heat to realize multi-energy coupling and complementation. Then
an integrated gas-electricity demand response model is established by introducing two types of responses
i.e.
price-based demand response and incentive-based demand response. The former creates a demand response model of electricity load and gas load based on price elasticity matrix
while the latter carries out peak regulation of the natural gas pipeline network by using the subsidy. Comprehensively considering the energy consumption cost
operation and maintenance cost
environmental cost
and demand response of the micro integrated energy grid
an optimal dispatching model for integrated natural gas-electricity demand response of the micro-energy grid is proposed. The optimal dispatch results of electricity-gas-cold energy of the micro-energy grid in different scenarios are calculated and analyzed. The feasibility and effectiveness of the proposed integration scheme and the natural gas-electricity demand response model are also verified.
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