Research On Multi-source Coordinated Optimization Of Active Distribution Network

Large-scale distributed generations(DG)access to the distribution network will increase the uncertainty of the direction of power transmission,and thus influence the reliable operation and the power quality of the power grid,make the capacity of distributed generations in the power grid limited.In order to solve the above problems,active distribution network(ADN),which can actively control the power flow of the power grid,and actively manage the distributed energy such as DQ energy storage device and controllable load will replace the traditional one-way radiation distribution network that to be a new direction for future distributed network development.Therefore,how to carry out long-term rational planning for the capacity and grid-connected locations of multiple energy sources,and coordinate multiple energy sources in ADN to realize the integrated optimization of multi-energy cooperative complementary systems is the hot topic of ADN optimization research.This paper first analyzed the characteristics of ADN and various typical distributed energy sources.At the same time,the various types of grid-connected nodes of distributed energy sources were classified and used to calculate the deterministic power flow of the power grid by using the forward and backword sweep method.To achieve the purpose of greatly improving the power flow calculation efficiency and accuracy,the CLMCS probability flow calculation method was used to analyse the power flow of ADN with uncertain factors.In order to prevent the phenomenon that the ADN model trapped in the local optimization or the slow convergence speed when it is carrying out an optimization calculation,this paper made a further improvement to the seeker optimazation algorithm that mixed with the core idea of the genetic algorithm and the shuffled frog-leaping algorithm,which included the genetic variation strategy of the elite parents,and the grouping and mixing strategy of the frogs,so as to enhance the performance of the algorithm.In view of the new situation of ADN planning research is mainly about how to comprehensively enhance the distributed energy utilization and consumption capacity,meanwhile,improve the reliability of power supply and the user experience.Therefore,considering environment,operation and economy,a tri-level programming model of ADN with the optimization of sectionalizing switch and multi-source coordination was established from three levels including selecting the installation sites,the optional capacity of generalized power sources,the contract volume of controllable loads and the operation of the power grid.Finally,taking the IEEE33 distribution system as a simulation example,and using the algorithm proposed in this paper to carry out the relevant simulation.The results proved the scientific nature of the research.Coordinating various types of DGs,energy storage devices,controllable loads and other controllable resources reasonably is an effective way to achieve ADN optimal dispatching.In this paper,based on setting the dispatching order of various energies and the control scheme of segment switches,the three-tier framework of multi-source coordinated optimal dispatching model was constructed from the three aspects of the source,network,and load,and using the algorithm proposed in this paper to slove it.The simulation results showed that the multi-source coordinated optimal dispatch can effectively improve the accommodation rate of renewable energy,smooth loads'fluctuation,reduce the network power loss and enhance the user experience,verified the rationality and superiority of the optimization scheme.