Research on operation optimization of multi-energy complementary cogeneration system based on multi-objective optimization
A multi-energy complementary system integrating solar-hydrogen-gas has been developed for multi-energy complementary cogeneration systems,aimed at meeting users'demands for cooling,heating,power,and gas.In order to optimize the system performance,a multi-objective optimization evaluation system of the multi-energy complementary cooling,heating and power cogeneration system including economy,environmental protection and hydrogen doping ratio is constructed,and a mixed-integer linear programming model for multi-objective optimal scheduling is established based on this system.With the obtained Pareto frontier solution set,the optimal solution in the solution set is found by using the method of distance to the ideal solution to identify the optimal solution.By changing the blending ratio of hydrogen injected into the natural gas pipeline network,the optimal operating conditions for the devices in the electricity,heat,and cold networks are obtained.The results show that,under the condition of fixed user load,with the hydrogen doping ratio of 14.47%,the system operating cost per day is the lowest(26 794.31 yuan),and the carbon emission is the least(162.03 kg).The results indicate that the proposed scheme is not only economically better,but also has the characteristics of energy saving and emission reduction,and performs the best in comprehensive evaluation,compared with the 2 reference systems.The conversion of renewable energy sources into electricity,followed by the transformation into hydrogen and its incorporation into the natural gas pipeline network according to a specified blending ratio for application in combined cooling,heating,and power generation systems,significantly reduces the use of natural gas.This approach enhances energy utilization efficiency,maximizes the integration of renewable energy sources,and reduces carbon emissions.
multi-energy complementaryNSGA-Ⅱ algorithmmixed-integer linear programminghydrogen blending of natural gasrenewable energy