MULTI-OBJECTIVE INTERVAL PLANNING FOR 5G BASE STATIONS AND DISTRIBUTION NETWORKS WITH PHOTOVOLTAIC POWER SOURCES CONSIDERING COMMUNICATION FLEXIBILITY
A multi-objective interval collaborative planning method for 5G base stations and distribution networks containing photovoltaic power sources is proposed,which considers communication flexibility.Firstly,considering the characteristics constraints of base station energy consumption,communication capacity and coverage,and considering the flexibility resources of single base station level(flexible bandwidth allocation)and base station group level(cellular breathing mechanism),a 5G base station demand response model is constructed.Then,taking the minimum investment and operation cost of the system and the minimum carbon emissions as optimization objectives and using interval methods to handle the uncertainty of power/communication loads and RES,a multi-objective interval optimization model is established for the collaborative planning of 5G base stations and distribution networks containing photovoltaic power sources.Finally,the established model is transformed into a deterministic optimization problem using interval order relationship and possibility method,and solved by using the NSGA-Ⅱalgorithm.The effectiveness of the proposed method is verified by numerical examples.
PV powercellular base stationsdistribution networkselectric power system planningcommunication flexibilitymulti-objective interval optimization
NETL
NSTL
万方数据
