| Smart grid achieved the two-way transmission of information.The process of the users changing their own electricity consumption behavior after they received the electricity market information is called demand response.In the future,more and more home users will have their own power generation and energy storage equipment,before they make the demand response,they need to take their own generation into consideration.Through rational planning of electricity consumption period,the development of energy storage charge and discharge strategy,they will make their own energy system more economical and stable.This paper designed an energy management system,it makes next day’s planning for load and energy storage through the real-time pricing and distributed generation forecast,and sends the system’s dispatching strategy through HAN.(1)Builds HAN.this wireless network using ZigBee technology.Designs the topology,communication protocol and node program.(2)Estabilshes a vector model consisting of all the deferrable load working time periods,uses BPSO to search for the optimal solution with minimum power consumption and maximum utilization of DG as a dual objective,completes the worktable planning of deferrable load.(3)The optimal charge and discharge plan of the battery for the whole day is calculated by using the particle swarm optimization algorithm with dynamic penalty function.With the battery’s charge and discharge action,the DG’s output is transferred.(4)Based on the model of household hybrid power supply system,this paper designs the case and realizes the algorithm.After a series of comparative experiments,it proves the effectiveness of the proposed algorithm in improving the matching degree of supply and demand and reducing the electricity expenses of users.(5)Through the test of the system communication mechanism,the design and implementation of the system software and database perfect the details of the system,making it an interactive and practical household energy management system. |
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