| In the context of global energy issues and low-carbon development requirements,the rapid development of new energy wind power in China has optimized the allocation of energy structure and brought opportunities for energy conservation and emission reduction in China.However,the problem of wind power consumption has restricted the sustainable development of wind power,especially in the northern China,the accommodation capability of abundant wind power is insufficiently,which reduces the effectiveness of wind power in energy saving and emission reduction.With the further development of the concept of the Internet of Energy,the coordinated dispatching operation of the electric and thermal integrated energy system has improved the accommodation capacity of wind power and social low-carbon benefits.In view of the low-carbon economic problem of the electric and thermal integrated energy system,this research content firstly rationally improves the problems existing in the bacterial population chemotaxis algorithm,and then applies the improved algorithm to the low-carbon economic dispatching problem of the electric and thermal integrated energy system.The content is as follows:Firstly,study the operation characteristics of the combined heat and power units and analyze the causes of wind abandonment in northern China.The operating principles of thermal storage device,carbon capture device and electric boiler and their roles in promoting wind power consumption and improving social benefits are studied.The possibility of using intelligent algorithm to solve the problem of electric and thermal integrated energy scheduling is analyzed.Secondly,we find that the algorithm has uneven distribution of results and poor convergence for complex problems in the multi-objectives optimization,and introduce the I+SDEdensity indicators,the normal crossover operator,and the external archiving strategy to solve these problems.Then,a novel multi-objectives bacterial colony chemotaxis algorithm based on I+SDEindicator is proposed.The performance of the proposed multi-objectives bacterial colony chemotaxis algorithm is tested by using 15 basic test functions,its test results are compared with the test results of the MOBCC,GMOBCC,NSGA-II,MOEA/D and dMOPSO algorithms through comprehensive performance evaluation indicators,which proved the effectiveness of the proposed improved algorithm,and simply analyze the computational complexity of the proposed algorithm.Based on the existing practical problems,the practical application ability of the proposed algorithm is further studied.Finally,aiming at the minimum energy consumption and the minimum carbon emissions of the electric and thermal integrated energy system including thermal storage device,electric boiler and carbon capture device,a multi-objectives low-carbon economic dispatch model of the electric and thermal integrated energy system is proposed,and analyze the cooperative relationship between thermal storage device and electrical boiler in the case of extreme wind power consumption at the time of wind abandon.Then,the improved algorithm proposed in this paper is used to solve the established low-carbon economic dispatch model,and the applicability of the proposed algorithm to this model is studied.The scheduling scheme obtained by simulation is analyzed in detail.The relationship between the minimum coal consumption cost and the minimum carbon emission in the system is studied,and the effect of the electric boiler on the system is specifically analyzed by setting a reference scenario. |
