Planning district multiple energy systems considering year-round operation

Abstract

The planning of multiple energy systems requires the optimization of energy converters, energy storage devices, renewable energy resources, and energy flow pathways across multiple energy carriers. Currently, representative days are usually used to reduce calculation burden. However, planning multiple energy systems using few discontinuous representative days cannot well capture the mid-long term operation of energy storage devices. To fill this gap, this research proposes a highly efficient pure linear programming based planning approach for district multiple energy systems considering year-round operation. An energy bus framework is presented. Based on the proposed framework, the planning problem can be established as linear programming problem instead of a mixed-integer linear programming problem, which can be solved much more efficiently. It can consider year-round 8760-h continuous operation of multiple energy systems in the planning stage, which facilitates the planning of long-term energy storage devices. Case study based on a real-life multiple energy system in Beijing, China considering long-term energy storage is carried out. In the case study, the computation time of optimization is 33 s and comparisons shows that considering year-round operation in planning reduces annualized cost by 5.3% than using 24 representative days.