| With the global energy crisis and the aggravation of environmental pollution,the renewable energy represented by wind power has developed by leaps and bounds with its advantages of sustainability and low pollution.However,the wind power output often has large fluctuations and randomness.In addition,in the heating period in the north,the Combined Heating and Power System（CHP）unit is limited by the “electricity by heat”,which leads to the frequent occurrence of wind abandonment in the northern coastal areas of China.In addition,the high energy consumption cost of seawater desalination in coastal areas is also an important problem that needs to be solved urgently.In view of the above problems,this paper analyzes the mechanism of the adjustable characteristics of seawater desalination load from the perspective of Integrated Energy System（IES）in coastal areas,and an optimal operation model of IES in coastal areas with seawater desalination load is established,aiming to promote renewable energy consumption while reducing system operating costs.Firstly,this paper summarizes the research status of seawater desalination technology and wind power consumption of IES at home and abroad,establishes the framework of IES in coastal areas,analyzes the output characteristics of main equipment in the system,expounds the relevant theories of seawater desalination,and takes Reverse Osmosis（RO）as an example to build the model of seawater desalination load.Then,the mechanism of seawater desalination load regulation effect is analyzed,the optimal operation model of the IES in coastal areas is constructed with the minimum daily operating cost and the minimum amount of abandoned wind as the optimization goals,and the output status of the corresponding equipment is constrained.For the constructed model,starting from the basic Particle Swarm Optimization（PSO）algorithm,two improvement strategies of inertia weight coefficient and learning factor improvement,and crossover mutation are designed to optimize the algorithm to improve the global search ability of the algorithm,and analyze the solution steps of the optimal operation strategy for the integrated energy system in coastal areas based on the Improved Particle Swarm Optimization（IPSO）algorithm.Finally,taking a coastal area in northern China in winter as an example,the optimization ability of Whale Optimization Algorithm（WOA）,Genetic Algorithm（GA）and IPSO algorithm proposed in this paper is compared and analyzed,as well as whether to consider the influence of desalination load regulation effect on system operation optimization.The results show that the IPSO algorithm proposed in this paper has stronger ability to break away from local optimization and more accurate particle optimization.At the same time,it also effectively verifies that the operation strategy of the IES designed in this paper plays a significant role in improving the operation economy of the system and promoting the consumption of new energy. |
