| Traditional fossil energy development and utilization has brought about increasingly serious environmental pollution and climate change problems,and large-scale development and utilization of new energy has become the consensus of the world’s development.Among them,distributed renewable power sources have been widely used in distribution networks because of their flexibility and proximity to power supply.With the increase of distributed renewable energy penetration in the system,its random,intermittent and fluctuating characteristics will bring great challenges to the operation and dispatch of the distribution network.Energy storage is a key support technology for renewable energy consumption because of its ability to separate the production and consumption of electricity from time and space.Compared with SESS and electric vehicles in clusters,Mobile Energy Storage System(MESS)can combine both scheduling flexibility and controllability.As a promising energy storage technology,the planning and operation of MESS in high percentage renewable energy distribution network is important to ensure the safe and economic operation of the system and promote the construction of modern intelligent distribution network.Therefore,this paper studies the MESS planning and dispatching method in high proportional renewable energy distribution network.Firstly,the research background and significance of this paper are introduced,the current research status of MESS in planning and scheduling problems is summarized,the optimization methods of uncertainty problems are briefly described,the examples of MESS in engineering applications at the present stage are listed,and the research contents of this paper are designed by synthesizing the above research progress.Secondly,the operating mechanism of MESS in the coupled traffic-power network is explained with the working characteristics of MESS as the base point.The "spatiotemporal value" of MESS in this operating environment is analyzed,and the operating characteristics of MESS are analyzed from the perspective of transportation network and distribution network respectively,and the transport logic model and charging/discharging power model of MESS are established to provide basic constraints for the subsequent research contents.And then,a MESS access location and capacity planning method is proposed for the problem of reasonable investment in MESS.Based on the uncertainties affecting the planning problem,multiple operation scenarios are constructed by integrating the time series correlation of each uncertainty itself and the mutual correlation between them.A two-stage stochastic optimization model is established to allocate the number of MESS and plan the access location of MESS in the first stage,and then evaluate the reasonableness of the optimization results in the first stage by the expected benefits of economic dispatch of MESS in the distribution network under different scenarios in the second stage,which is solved iteratively by using genetic algorithm and optimization solver.Considering the effects of multiple uncertainties,the planned results can adapt to a large number of different operation scenarios and avoid additional investments.Further,the impact of road congestion on MESS scheduling is analyzed from the perspective of traffic network,and a two-layer optimized MESS economic scheduling model considering road congestion in a coupled traffic-electricity network is proposed.The upper-layer model uses the maximum system profit as the objective function to develop the daily dispatching scheme of MESS for distribution network operators.The lower layer model constructs a path planning model by fuzzy time window and fuzzy road congestion index to optimize the transportation routes of MESS in the upper layer model,thus ensuring that the influence of road congestion in the traffic network is fully considered in the dispatching plan of MESS.The MESS operation plan after considering the road congestion factor will avoid the congestion time,which will reduce the energy consumption of MESS transportation and improve the impact of traffic environment on the economic benefits of MESS.Then,the synergy between reconfiguration switching and MESS scheduling is analyzed from the perspective of distribution network,and a method of dynamic reconfiguration of distribution network and MESS synergistic optimization is proposed.To reduce the size of the problem,temporal load a priori information is fused and a fuzzy C-mean algorithm is used to divide the reconfiguration periods,while avoiding redundant switching operations.Considering the uncertainty of renewable energy output,an uncertainty set is constructed which is robust to sparse outliers with time and space dependence.A two-stage robust co-optimization model for dynamic reconfiguration strategy and economic dispatch of MESS is developed.In the first stage,key switches and access locations are selected,and in the second stage,the reconfiguration switches are co-optimized with MESS to evaluate the economics of the solution selected in the first stage.The MESS can adapt to the dynamic changes of the distribution network structure,and the synergy of the two can bring more economic benefits to the distribution network.Finally,based on the simulation results and analysis contents of the above-mentioned model,the research results of this paper are summarized and the future research work can be carried out. |
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