| With the rapid development of clean energy in recent years,intermittent distributed power sources such as photovoltaics and wind power participate in power exchange in the power grid.Under different weather and climate conditions,there will be fluctuations in power amplitude and power direction,especially when the distribution network is connected to the grid near the end,causing instability in the structure between the power source and distribution network,abnormal power fluctuations on the connected lines,and low satisfaction with electricity consumption by the distribution network users.The distribution line,after dividing the resistance by reactance,has a value close to the resistance value,indicating that the change in active power is the main cause of voltage fluctuations at the end of the distribution network.Therefore,in order to achieve high-quality power supply,the research scenario in this article mainly focuses on the interactive coordination control of active power regulation capability in intelligent distribution networks.This article establishes temperature controlled load and electric vehicle energy efficiency power plant response capacity prediction models to obtain energy consumption characteristics information of different types of flexible loads.At the same time,in-depth research is conducted on the probability prediction technology of multi time scale feeder level distributed power generation output,and the correlation between distributed power generation output and BESS energy storage system under different meteorological conditions is analyzed,Then,the response ability of distributed generation and energy storage in different time scales is predicted.At the same time,a power fluctuation control function for the interconnection line of the intelligent distribution network is proposed,which can suppress the power fluctuation of the interconnection line of the intelligent distribution network by coordinating the control of energy storage batteries and virtual energy storage.Introducing temperature priority list(TPL)and extended temperature priority list(ETPL)as two indicators for selecting control objects,and based on this,proposing temperature identification priority list(IPL)to ensure the diversity of electric heating pump equipment.By building a community level power grid system simulation example,it is verified that this coordinated control technology can theoretically reduce the error rate of virtual energy storage equipment response and improve the service life of virtual energy storage equipment.Secondly,based on the study of the control characteristics of each flexible unit in the "source load storage" of the intelligent distribution network,a strategy for coordinated voltage control with dual objectives of economic benefits and voltage fluctuations is proposed.Multi energy optimization scheduling is used to maintain the voltage at the grid connection point within the safe constraint range.Through the simulation of an IEEE33 node distribution system,it is proven that this strategy can better ensure the power supply quality of the intelligent distribution network.Finally,modeling and solving multiple comprehensive collaborative interactive control at different time scales,considering the temporal correlation and spatial complementarity of control equipment at long time scales,and optimizing the entire scheduling cycle;Respond to short-term fluctuations in load and distributed power sources in a short time scale.When controlling in a short time scale,consider the optimization objective of a long time scale.Based on the spatiotemporal coupling characteristics and response priority mechanism of the "source load storage" in the intelligent distribution network,achieve joint optimization control of multiple time scales in the intelligent distribution network to ensure the quality and capacity of the intelligent distribution network’s power supply. |
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