Research on Optimization Method of Integrated Energy System Network Planning

The development of an integrated energy system (IES) is conducive to promoting the transformation and helping achieve ‘double carbon’ goal in China. IES integrates cooling, heating, electricity, gas, other resources, which significantly more difficult than single network planning. This paper systematically sorts out process planning proposes improved methodology. Firstly, bottom-up dynamic multiple-load forecasting method 8760 h a year proposed as basis configuration capacity selection. Subsequently, for station location route optimization using Dijkstra algorithm constructed by applying P-median model. Finally, when optimizing allocation IES, complementary characteristics natural electricity heat, well corresponding demand characteristic, have been fully considered, so that objectives can be reasonably determined. Through actual calculation, it found this reduce construction cost 41%. work combines provides simple, easy economical solution new areas.