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A series multi-step approach for operation Co-optimization of integrated power and natural gas systems

Power to gas units and gas turbines have provided considerable opportunities for bidirectional interdependency between electric power and natural gas infrastructures. This paper proposes a series of multi-step strategy with surrogate Lagrange relaxation for operation co-optimization of an integrated power and natural gas system. At first, the value of coordination capacity is considered as a contract to avoid dysfunction in each system. Then, the uncertainties and risks analysis associated with wind speed, solar radiation, and load fluctuation are implemented by generating stochastic scenarios. Finally, before employing surrogate Lagrange relaxation, the non-linear and non-convex gas flow constraint is linearized by two-dimension piecewise linearization. In the proposed procedure, constraints for energy storages and renewable energy sources are included. Two case studies are employed to verify the effectiveness of the proposed method. The surrogate Lagrange relaxation approach with coordination branch & cut method enhances the accuracy of convergence and can effectively reduce the decision-making time.
- Technical University of Denmark Denmark
- Skolkovo Institute of Science and Technology Russian Federation
- University of Tabriz Iran (Islamic Republic of)
- University of Groningen Netherlands
- Skolkovo Institute of Science and Technology Russian Federation
Risk analysis, FLOW, LOADS, Uncertainty, ECONOMIC-DISPATCH, RECONFIGURATION, Optimal operation, ELECTRICITY, Lagrange relaxation, To be checked by Faculty, RELIABILITY, Integrated power system and natural gas network
Risk analysis, FLOW, LOADS, Uncertainty, ECONOMIC-DISPATCH, RECONFIGURATION, Optimal operation, ELECTRICITY, Lagrange relaxation, To be checked by Faculty, RELIABILITY, Integrated power system and natural gas network
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).19 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 10% 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 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
