Simulation-Based Hybrid Energy Storage Composite-Target Planning with Power Quality Improvements for Integrated Energy Systems in Large-Building Microgrids DOI Open Access
Chunguang He,

Xiaolin Tan,

Zixuan Liu

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(19), P. 3844 - 3844

Published: Sept. 28, 2024

In this paper, we present an optimization planning method for enhancing power quality in integrated energy systems large-building microgrids by adjusting the sizing and deployment of hybrid storage systems. These incorporate wind solar power, natural gas supply, interactions with electric vehicles main grid. developed, objectives cost-effective low-carbon operation, lifecycle cost storage, improvements, renewable utilization are targeted coordinated using utility fusion theory. Our addresses multiple forms—cooling, heating, electricity, gas, energies—which through a combined cooling, system turbine. The incorporates batteries compressed-air to handle fast slow variations demand, respectively. A sensitivity matrix between output sources voltage is modeled flow DistFlow, reflecting improvements respective constraints. proposed validated simulating various typical scenarios on modified IEEE 13-node distribution network topology. novelty paper lies its focus application within large buildings approach dimensions, including making co-location capacity decisions. Other innovative aspects include coordination combinations, simultaneous siting decisions, calculations, enhancement. As part these design considerations, microgrid-related technologies cutting-edge nearly zero-energy building designs, representing pioneering attempt field. results indicate that multi-objective, multi-dimensional, fusion-based significantly enhances economic efficiency operation building-level planning.

Language: Английский

Simulation-Based Hybrid Energy Storage Composite-Target Planning with Power Quality Improvements for Integrated Energy Systems in Large-Building Microgrids DOI Open Access
Chunguang He,

Xiaolin Tan,

Zixuan Liu

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(19), P. 3844 - 3844

Published: Sept. 28, 2024

In this paper, we present an optimization planning method for enhancing power quality in integrated energy systems large-building microgrids by adjusting the sizing and deployment of hybrid storage systems. These incorporate wind solar power, natural gas supply, interactions with electric vehicles main grid. developed, objectives cost-effective low-carbon operation, lifecycle cost storage, improvements, renewable utilization are targeted coordinated using utility fusion theory. Our addresses multiple forms—cooling, heating, electricity, gas, energies—which through a combined cooling, system turbine. The incorporates batteries compressed-air to handle fast slow variations demand, respectively. A sensitivity matrix between output sources voltage is modeled flow DistFlow, reflecting improvements respective constraints. proposed validated simulating various typical scenarios on modified IEEE 13-node distribution network topology. novelty paper lies its focus application within large buildings approach dimensions, including making co-location capacity decisions. Other innovative aspects include coordination combinations, simultaneous siting decisions, calculations, enhancement. As part these design considerations, microgrid-related technologies cutting-edge nearly zero-energy building designs, representing pioneering attempt field. results indicate that multi-objective, multi-dimensional, fusion-based significantly enhances economic efficiency operation building-level planning.

Language: Английский

Citations

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