Research On Distributed Photovoltaic Microgrid Monitoring And Energy Flow Control Technology

With the introduction of "carbon peaking" and "carbon neutral",the new type of energy body characterized by decentralization will become an important part of the electricity market.Distributed photovoltaic power generation system is an extremely important part,in order to make the distributed photovoltaic micro-grid in normal operation,effectively solve the problem of randomness of photovoltaic power output,to the large power grid energy coordination ratio,play a role in peak shaving and valley filling;abnormal operation,can be timely warning,alarm,reduce losses,for distributed photovoltaic operation and maintenance monitoring and energy flow control is of great significance.The main work of this paper is as follows:On the basis of reviewing the current status of research on distributed PV O&M monitoring,wireless transmission and energy flow control technologies,the hardware acquisition circuit of temperature,light intensity,voltage,current and other parameters is designed for the unmanned monitoring demand of distributed PV,the Lab VIEW-based cloud platform upper computer software is developed,and the NB-Io T and Zigbee wireless communication technologies are used to build a system containing sensing layer,The distributed PV monitoring system with sensing layer,network layer,application layer and control layer is built using NB-Io T and Zigbee wireless communication technology.The test experiment verifies the data acquisition,transmission,display,analysis and recording,realizes the unmanned real-time monitoring of distributed PV operation status,and solves the problem of lack of real-time monitoring data and fault warning of distributed PV power generation system.On the premise that the relevant data parameters are monitored as data support,a simulation model of PV microgrid is established using MATLAB for the problem of maximum PV power output,the characteristics of PV power output time in PV microgrid are obtained,and an improved particle swarm algorithm is adopted to optimize the PV power output situation.For the problem of imprecise power distribution and high cost of electricity in traditional PV microgrid,an energy flow control strategy with real-time electricity price is proposed,and eight control methods are determined according to the power output of each component of distributed PV microgrid and real-time electricity price in different time periods.cost effectively.The distributed PV monitoring system and energy flow control strategy mentioned in this paper realize the bi-directional flow of information and energy flow,which has the advantages of faster response and lower cost compared with traditional microgrid,and greatly improves the utilization rate of PV power generation and promotes the smart grid technology of "virtual power plant".