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Dynamic Optimal Energy Flow in the Integrated Natural Gas and Electrical Power Systems

This work focuses on the optimal operation of the integrated gas and electrical power system with bi-directional energy conversion. Considering the different response times of the gas and power systems, the transient gas flow and steady- state power flow are combined to formulate the dynamic optimal energy flow in the integrated gas and power systems. With proper assumptions and simplifications, the problem is transformed into a single stage linear programming. And only a single stage linear programming is needed to obtain the optimal operation strategy for both gas and power systems. Simulation on the test case illustrates the success of the modelling and the beneficial roles of the power-to-gas are analyzed. The proposed model can be used in the decision support for both planning and operation of the coordinated natural gas and electrical power systems.
- Aalborg University Library (AUB) Denmark
- State Key Laboratory of Advanced Electromagnetic Engineering and Technology China (People's Republic of)
- Aalborg University Denmark
- State Key Laboratory of Advanced Electromagnetic Engineering and Technology China (People's Republic of)
- Aalborg University Library (AUB) Denmark
Optimization, Pipelines, System optimization, Integrated energy systems, Natural gas, Energy conversion, Mathematical model, Power system dynamics, Dynamic optimal energy flow, Power-to-gas, Wind energy
Optimization, Pipelines, System optimization, Integrated energy systems, Natural gas, Energy conversion, Mathematical model, Power system dynamics, Dynamic optimal energy flow, Power-to-gas, Wind energy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).285 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
