IEEE Transactions on Smart Grid · 2018 · 151 citations · 26 references
Distributed Energy SystemEngineeringDecentralized ApproachMulti-energy SystemLow-carbon TechnologyEnergy OptimizationSystems EngineeringMultiple Energy CarriersMulti-energy SystemsMultiple Energy SystemsLow-carbon Energy SystemsEnergy ManagementSustainable EnergyEnergy HubEnergy TransitionLow-carbon DevelopmentEnergy PolicyEnergy PlanningSustainability
Coordinating multiple energy systems enables synergies across sectors, and low‑carbon development is reshaping planning at both district and multi‑regional levels. The paper proposes a bi‑level expansion planning model for MES that incorporates emission constraints within a decentralized framework. The model comprises an upper‑level component that optimizes integrated power and natural gas networks across multiple regions, a lower‑level component that configures district‑level energy carriers via an energy‑hub approach, and a carbon‑emission‑flow module that allocates a regional cap from consumption, all validated through a 6‑node illustration and a northern‑China case study. The illustrative 6‑node example confirms the model’s effectiveness, and the northern‑China case study demonstrates how carbon‑emission constraints influence real‑world energy system planning.
Coordinating multiple energy systems (MES) enables the synergies of different energy sectors to be exploited. The concept of low-carbon development changes planning approaches for both the district level and the multi-regional level of MES. This paper proposes a bi-level expansion planning model of MES that considers the emission constraints under a decentralized approach. The upper-level model investigates the optimal planning scheme for integrated power and natural gas networks in the multi-regional MES. The lower-level model examines the optimal energy supply configuration of multiple energy carriers in the district MES based on the energy hub modeling approach. The carbon emission flow model is used to allocate the overall carbon emission cap among district MES from the consumption based perspective and to coordinate the planning of the district level and the multi-regional level. An illustrative example based on a 6-node MES verifies the effectiveness of the proposed model. Finally, a realistic case study based on an MES in northern China is implemented to show the effects of carbon emission constraints on the planning of real-world energy systems.
26
Martin Geidl, Gaudenz Koeppel, Patrick Favre‐Perrod et al. · IEEE Power and Energy Magazine · 2007 · 1.1K citations