Research on Optimal Scheduling Method for Source-Grid- Load-Storage Systems Considering Electro-Thermal Load Demands in Industrial Parks

With the continuous advancement of the integrated development of source-grid-load-storage, industrial parks have put forward higher requirements for multi-energy synergy and the optimal scheduling of source-grid-load-storage. Comprehensively considering the electrical and thermal load demands in industrial parks, an optimal scheduling model for source-grid-load-storage was proposed. The model fully reflected the electro-thermal coupling feasible region of combined heat and power (CHP) units, as well as the heat consumption characteristics of different units varying with the load. The solving constraint integer program(SCIP) was adopted to conduct nonlinear mixed-integer optimization calculations for photovoltaic power, thermal power, energy storage and grid power purchase. The calculation results indicate that on a typical day, thermal power generation accounts for 65.14%, photovoltaic power generation accounts for 20.72%, grid power purchase accounts for 14.45%, energy storage charging accounts for 2.14%, and energy storage discharging accounts for 1.84%. The thermal power unit(type B) with superior energy consumption characteristics undertakes a greater share of power generation and heating tasks (accounting for 52% of power generation and 97% of heat supply). The proposed analytical method can provide a technical reference for the optimal scheduling of source-grid-load-storage considering electrical and thermal load demands in industrial parks.