Standardized construction method of integrated energy system energy hub model
A technology of an integrated energy system and a construction method, which is applied in the field of standardized construction of an energy hub model of an integrated energy system, and can solve the problems of complex integrated energy system, difficult and huge modeling of energy hub coupling matrix, etc.
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Embodiment 1
[0103] In order to verify the applicability and efficiency of the above-mentioned method of the present invention, modeling and optimal scheduling are carried out on the 24-hour demand load data of a small area in summer. Figure 7 Representing the multi-energy system of the district, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners and absorption coolers. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. The model structure and summer load data are from a planning area in Guangzhou. This optimization case is calculated on GAMS with Intel Core I5 3.20 GHz CPU and 16GB RAM. Using CPLEX under GAMS to solve the LP problem. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the method of the present invention, the Figure 7 The complex energy system shown is transformed into 10 simple energy sy...
Embodiment 2
[0105] In order to verify the applicability and efficiency of the proposed method, the 24-hour demand load data of a small area in summer is modeled and optimized for scheduling. Figure 9 Taking the multi-energy system of the community as an example, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners, absorption coolers, heat accumulators, and power storage devices. The model structure and summer load data are from a planning area in Guangzhou. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. This optimization case is calculated on GAMS with Intel Core I5 3.20GHz CPU and 16GB RAM. The LP problem is solved by using CPLEX under GAMS. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the patent of this invention, we can Figure 9 The complex energy system shown, transforms into 10 simple ener...
Embodiment 3
[0107] In order to verify the applicability and efficiency of the proposed method, the 24-hour demand load data of a small area in summer is modeled and optimized for scheduling. Figure 11 Taking the multi-energy system of the community as an example, the model includes transformers, combined heat and power (CHP), gas boilers, electric heaters, air conditioners, absorption chillers and demand response. Table 1 and Table 2 list the parameters of the energy converter, energy storage and demand response of the system. The load adopts a demand response strategy. The model structure and summer load data are from a planning area in Guangzhou. This optimization case is calculated on GAMS with Intel Core I5 3.20GHz CPU and 16GB RAM. The LP problem is solved by using CPLEX under GAMS. Using SBB / CONOPT under GAMS to solve NLP problems. The maximum number of iterations is set to 1000. Using the patent of this invention, we can Figure 11 The complex energy system shown is transf...
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