| With the vigorous development of renewable energy and the increase of flexible loads year by year,the Active Distribution Network(ADN)was facing multiple challenges.Energy Hub(EH)could provide favorable conditions for renewable consumption and flexible load regulation.However,after the access of the energy hub with random wind-solar and flexible load,the interactive power of the active distribution network would change.For the peak load scenario of the active distribution network,it was imperative to formulate a flexible load regulation strategy.The access of the energy hub would affect the safety and reliability of the active distribution network.How to ensure the safe distance of the power system and the optimal consumption of new energy while achieving the goal of flexible load regulation was worth studying.This paper mainly studied from three aspects.First,an energy hub model with random wind-solar and flexible loads was established,and the random wind-solar and flexible loads were modeled,and an Air Conditioning Load(ACL)model and a base station(BS)load model that took into account dynamic voltage characteristics and temperature control characteristics were established respectively.Aiming at the massive scattered flexible load resources,the aggregation of flexible loads was realized based on multi-agent technology.An energy hub model with random wind-solar and flexible loads was established.The influence of wind-solar random output and flexible load changes on the interactive power between the energy hub and the active distribution network was analyzed.Secondly,based on the air-conditioning load model and the base station load model,the active reduction or transfer mechanism was revealed.Taking into account the equivalent thermodynamic model of air-conditioning load and dynamic voltage characteristics,the characteristics of active load and reactive load under the control of air-conditioning load voltage and temperature were analyzed,and the active reduction mechanism of air-conditioning aggregate load was revealed.Based on the multi-agent system and optimal power flow,a multi-agent peak shaving model and solution algorithm for air-conditioning load step-down and temperature regulation were proposed,and the influence of energy hub regulation with flexible loads on the safety distance of active distribution network was explored.Finally,based on the analysis and research on the influence of the energy hub model with random wind-solar and flexible loads and its regulation on the safety distance of the active distribution network,the mechanism of the safety distance improvement measures was studied for the connection of distributed wind-solar,flexible loads,and energy storage to the active distribution network.Established a multi-objective optimal power flow model for active distribution network that took into account safety distance,active network loss and curtailment of wind-solar.Combined with three-phase forward push-back generation power flow algorithm,NSGA-Ⅱ multi-objective solution algorithm and maximum fuzzy satisfaction method to solve this model.The simulation results show that the energy hub model with random wind-solar and flexible loads can describe the influence of wind-solar output and flexible load changes on the interactive power between the energy hub and the active distribution network.The influence of flexible load energy hub regulation on the safety distance of active distribution network;the construction of a multi-objective optimal regulation model and its solution algorithm for active distribution network with energy hubs,which can improve the safety distance of active distribution network,transfer base station load,and reduce air conditioning load,to provide a theoretical basis for power system energy conservation,cleanliness,and safety management. |
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