Research On Coupling Operation Model And Control Strategy Of Data Network And Power Network

With the vigorous development of the internet industry,the power consumption in data centers has become an enormous resource body which can not be ignored by system operation.Its huge demand for electricity and the instinct attribute of pursuing low and reliable power supply make it have a positive desire to interact with the power system.At the same time,the characteristics of the multi-network nodes and the fast low-loss trans-reginal load-transfer ability enable it with the potential to participate in the interactive operation of the system.Therefore,the data network has gradually become a novel load with exellent demand response performance.In the published literature at home and abroad,the technology of data load control has been preliminarily explored based on the load adjustable characteristics of data network,but the research on the operation and scheduling of data network has not been really started at the system level.In this paper,based on the transfer characteristics of data load,a data network energy consumption model is established.On this basis,the demand response potential of the data network is studied,and the control strategy of its participation in the economic operation of the power system and the peak regulation of the power market is explored.Firstly,the basic concepts of data center and the dual relationship between these concepts and power network are introduced,and the relationship between data load scheduling and electric power transfer is established in the light of the depiction of the physical model of data center in the computer field,and a data center energy consumption model with data load as the key identification parameter is formed.Considering the interaction between the data network and the power network,the dual network coupling operation architecture of the data network and the power network is proposed,and the key differences between the model and the traditional data center energy consumption model are summarized.Secondly,the potential of the dual network coupling model is analyzed,and the scheduling performance of data network is discussed with specific examples.The framework of data center's participation in system economic operation under regulated environment is put forward,and the operation constraints of data network are incorporated into the traditional economic dispatch model.It is proved by an example that the system economic operation of the dual network coupling model can not only effectively reduce the cost of power generation,but also significantly reduce the cost of electricity in the data center.Finally,combining the background of the power market construction,the coupling relationship between the data network and the peak regulation auxiliary service market and the energy market is analyzed.The overall framework of data networks participating in the peak-shaving ancillary service market as price followers or with dynamic pricing agreements and market bidding is constructed and related operation rules are proposed.A combined optimal scheduling model of data network to participate in multi-peak-shaving ancillary service market is established and the problem is simplified to a mixed integer programming problem.The example proves the effectiveness of the proposed model to alleviate the difficulty of peak adjustment through the trans-regional electricity exchange,and also wins some benefits for the data network.