Microgrid System Configuration Optimization And Demand Response Strategy

As a major energy consumer,China has always been one of the world's leading emitters of carbon emissions.With the constant development of the Chinese economy,the growing demand for electricity has brought about more and more serious environmental problems.In the traditional concept,the power supply plan mainly starts from the power supply side.Whether it is the expansion of installed capacity or external power transfer from the outside,it will consume a lot of manpower and material resources,and will not help reduce the peak load pressure,but also affect the environment.Compared with the traditional supply side,the resources on the demand side have received considerable attention in recent years and have been treated equally as resources on the supply side,which has become an important force to relieve the peak load.From the perspective of the supply side,the further development of renewable energy is facing greater difficulties,and the phenomenon of abandonment of electricity is very serious,but Microgrid can solve this problem very well.As an important part of the smart grid,microgrid is a powerful supplement to the centralized power generation system.It can not only avoid the large power loss caused by long-distance transmission,but also improve the stability of the entire power system and the utilization of new energy power generation through the interaction with the main grid.This paper will,from the perspective of demand side and supply side,study the solution to the problem of load pressure at perk periods and serious environmental issuesIn view of the current difficulties in real-time electricity price implementation and the many deficiencies in time-of-use price in China's electricity market,this paper first proposes a virtual real-time electricity price based on the incentive mechanism of electricity credit,which allows users to adjust the way of using electricity according to stimulus signals in real-time.The virtual real-time electricity price is based on the time-of-use price,and the user converts the actual electricity price based on the overall share of the power credit it receives.While optimizing the user's electricity cost,in order to be closer to the actual situation,the comfort of the end user when using electricity is fully taken into consideration.This paper takes the home user's power equipment scheduling problem as an example to construct the compound objective function of power cost and power consumption comfort,and compares the user's response situation of implementing the two schemes of virtual real-time price and time-of-use price respectively.The results show that the use of virtual real-time price pricing method is more conducive to guiding users to shift the peak load to the valley,and the optimization effect is more obvious in each period.On the supply side,this paper establishes a grid-connected microgrid system optimization model,taking a microgrid entity project in Wuxi as a case,and conducts in-depth economic analysis based on time-of-use electricity pricing policy.The results of the numerical analysis show that the photovoltaic power generation in the microgrid project can be used almost completely,and the power dependence on the backbone power grid during the peak time of the power price can be greatly reduced.While ensuring the stability of power supply,it can also reduce the electricity cost of power users.