State Estimation for Integrated Energy System Containing Electricity, Heat and Gas

被引:0
作者
Man, Linkun [1 ]
Wang, Tao [1 ]
Pan, Xiao [1 ]
Li, Yuanyuan [2 ]
机构
[1] State Grid Liaoning Elect Power Co Ltd, Econ Res Inst, Shenyang, Liaoning, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源
2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2018年
关键词
State estimation; Combined electricity; heat and gas generation; Monte-Carlo experiments; Integrated energy system; POWER; OPTIMIZATION; MODEL; FLOW;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to alleviate environmental pollution and improve utilization efficiency of end-used energy, integrated energy system (IFS) becomes an important direction of energy structure adjustment in China. And combined electricity, heat and gas generation has developed rapidly. It is necessary to monitor combined electricity, heat and gas networks. As an ordinary way to monitor electricity network, state estimation can also be introduced in heat and gas network. Firstly, models of electricity, heat and natural gas networks in IES are established. Then IFS multi-energy flow model is built. Considering coupling components in combined networks, state estimation for combined system was realized. Comparison between combined and separate state estimations was presented after Monte-Carlo experiments. Generally, combined state estimation is more accurate and gives global solution as basis of security evaluation, scheduling and dispatch of combined electricity and heat networks.
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收藏
页数:6
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