Research On Distributed Optimal Scheduling Of Distribution Network Prosumers Based On Transactive Energy

With the rapid development of distributed generation technology and the gradual liberalization of the electricity sales side market,there will be a huge transform in the mode of production and consumption of electric energy on the demand side,prosumers that have electric production,consumption and storage capabilities will replace traditional power users to participate in the operation of the power market as a new type of beneficiary.Flexible and controllable prosumers have social,economic and environmental benefits,and reasonable scheduling of them can improve the economy of system operation and achieve green and efficient development of flexible resources on the demand side.However,prosumers are usually distributed at the bottom of the system structure and are not willing to respond to the upper guidance signal.their flexible resources are small and scattered location,and the level of flexibility is difficult to reach the threshold for participating in the electricity market.On the other hand,demand side resources such as distributed energy resources and energy storage device are characterized by uncertainty and changing power flow direction,which bring great challenges to power market transaction and safe and stable operation of distribution network.Based on this,how to explore new means to integrate and exploit the flexibility of local regional system and realize large-scale prosumers participate in the grid friendly interaction has become an urgent issue to be solved.In this context,a local energy community energy management model for distribution system prosumers was proposed,and the internal agent scheduling model is quantified.On the individual level of prosumers,this paper takes flexible resources such as photovoltaic and controllable load as the research object,analyses their production and consumption characteristics,and quantifies their dispatching potential,the truncated versatile distribution probabilistic model is used to quantify and control the regulation cost caused by the deviation of photovoltaic output prediction in the real-time stage,and make a reasonable decision on flexible resource scheduling plan.At the distribution network operation level,depending on the natural network characteristics of the distribution network,the topology structure of the distribution network is modeled by graph theory,and the system operation conditions and market mechanisms such as power flow and security are incorporated into it.While fully dispatching the flexibility of local systems,the interconnection of the regional system can be further realized through the topology association among different subjects.For the problem of optimal dispatching strategy for the energy community,transactive energy mechanism is used as a means to improve the economy and safety of system operation,flexible resource nodes on different demand sides are used to characterize the economy of dispatch with operation cost of energy community,and safety of dispatch with operation constraints of distribution network,comprehensive consideration of the safety and economy of the day-ahead dispatch construction of energy community day-ahead optimal dispatch strategy,to meet the interests of individual producers and consumers while ensuring the safety of distribution network operation.In view of the demand response operation decision making problems of large-scale prosumers in the energy community,the ADMM is used to formulate the distributed optimization scheduling strategy of the energy community,and for the iterative calculation of the optimization strategy of the large-scale prosumers,a branch parallel successive algorithm is proposed to reduce the burden of calculation and communication nodes to further reduce the burden of calculation and communication.Finally,a simulation is used to verify that the proposed energy management model and scheduling strategy can effectively reduce the overall operating cost of the energy community,and fully exploit the flexibility of demand-side resources while taking into account the security of the distribution network.