Application of Adaptive Strategy Control Technology in Load Optimization Management of Distribution Network Users

Abstract

High proportion of distributed generation, electric vehicles and temperature-controlled flexible loads are connected to the distribution network in large quantities, resulting in problems such as increased load fluctuation, large peak-valley difference, frequent overload
and voltage over-limit in the station area. Adaptive strategy control relies on real-time perception, dynamic decision-making and closedloop iteration, which can update the operation boundary of distribution network and the adjustable potential of user load in time, so as to
overcome the shortcomings of poor adaptability of traditional fixed strategy load control. This paper expounds its core principle. Combined with real engineering cases, the application analysis is carried out from the three scenarios of flexible load regulation, virtual power
plant collaborative scheduling and charging pile cluster load coordination. The operation data is used to prove the effect of this technology
in stabilizing load fluctuation, reducing distribution network loss and mining demand side resource value. Through research, it is known
that the adaptive strategy control can implement fine and dynamic management of the user 's load, meet the needs of the multi-load coordinated operation of the distribution network in the new power system, and give a feasible technical approach to the optimal control of the
distribution network load.