Research On Optimal D-PMU Configuration And Development Of Assistant Decision-making Software In Smart Distribution Networks

With the continuous development of smart distribution networks,a large number of distributed generations(DGs)are connected to the distribution network,and flexible loads such as electric vehicles(EVs)are rapidly increasing,the observable problem of smart distribution network is becoming more serious.Distribution phasor measurement units(D-PMUs)for smart distribution networks have been developed to provide fast,accurate and reliable measurement data.However,due to the limitation of cost and communication conditions,it is impossible to configure D-PMUs at all buses,so the research on the optimal D-PMU configuration of smart distribution network is urgently needed.In the face of the strategic deployment of a world-class energy internet company with global competitiveness,it is also necessary to develop an open and effective decision-making platform in the process of optimal D-PMU configuration to provide application convenience.Based on the above situation,this thesis focuses on the method of optimal D-PMU configuration in smart distribution network and the implementation technology of software to carry out research,the main work is as follows:(1)Aiming at the problem that each bus is equivalently processed in the current optimal D-PMU configuration research,one-time optimal D-PMU configuration algorithm considering bus differentiation is proposed.The method of entropy,analytic hierarchy process,TOPSIS and grey correlation degree is used to calculate the comprehensive vulnerability index of the distribution network buses,which is used as the bus weight in the optimal D-PMU configuration model.The constraints of the zero injection buses and the operating state of the system are also considered to realize the optimal DPMU configuration that satisfies the observability of the distribution network.(2)Based on the one-time optimal D-PMU configuration algorithm,aiming at the constraints of cost,schedule and communication conditions in the actual construction of the power grid,the multistage optimal configuration method that reduce the unobservable depth of the system step by step is proposed.The depth-first search algorithm and the dijkstra algorithm are used to calculate the unobservable depth of the system,and the measurement redundancy of the system is considered comprehensively to realize the optimal configuration ordering of the D-PMU devices,so that it can exert the maximum effect at each stage.(3)Aiming at the problem of complicated modeling,complicated operation and single function in the current optimal D-PMU configuration,the Anaconda development platform,Spyder development component and Tkinter toolbox are used to design and develop the optimal D-PMU configuration assistant decision-making software system for smart distribution network.The software can realize the generation of one-time and multistage D-PMU configuration schemes with different configuration requirements,and visually display the topology of the configuration scheme,which provides a more convenient and practical operation platform for the planning and design of distribution networks.