An operational optimization method of regional multi-energy system considering thermal quasi-dynamic characteristics

With the development of the energy internet technology, the operational optimization of regional electricity-heating-gas system is becoming a research hotspot. Considering the thermal system's quasi-dynamic characteristics will make the dispatching of regional multi-energy system more accurate and the flexibility and energy efficiency of electricity-heating-gas system's operation can be improved. The quasi-dynamic characteristics of regional thermal networks are analyzed here, as well as the demand side of heating system. Based on the thermal inertia characteristics, the virtual thermal energy storage models of both thermal networks and buildings considering thermal comfort index are formulated synthetically for central heating system. By comparing the operating results of different adjustment methods, quality adjustment method was found to have the most flexibility of regional heating system control. With the hot water supply network and heating load modeling considering virtual storage, an operational optimization model of regional electricity-heating-gas system was put forward with the purpose to reduce the total operating cost. Numerical result shows the effectiveness of the proposed method. Through case study, it's found that when considering virtual energy storage specialty of both the heating supply and demand side, the heating load can be shifted across the time periods under time-of-use (TOU) price, leading to the obvious economic improvement of multi-energy system operation.