考虑通信灵活性的5G基站与含光伏电源配电网多目标区间规划

MULTI-OBJECTIVE INTERVAL PLANNING FOR 5G BASE STATIONS AND DISTRIBUTION NETWORKS WITH PHOTOVOLTAIC POWER SOURCES CONSIDERING COMMUNICATION FLEXIBILITY

提出一种考虑通信灵活性赋能的5G基站与含光伏电源配电网多目标区间协同规划方法。首先,在深入分析5G基站与配电网交互机理的基础上,综合考虑基站能耗、通信容量及覆盖范围等方面特性约束,计及单基站级(带宽灵活分配)与基站群级(蜂窝呼吸机制)灵活性资源,构建5G基站需求响应模型。鉴于系统经济性和环境性之间的固有矛盾,分别以系统投资运行成本最低和碳排放量最小作为优化目标,建立5G基站与含光伏电源配电网协同规划的多目标区间优化模型。该模型通过对5G基站设备配置及接入节点选择、配电网扩容、RES配置及运行管理策略优化,并利用区间方法处理电力/通信负荷和RES不确定性,达到系统经济和低碳效益的同时优化。利用区间序关系和可能度法将所建模型转化为确定性优化问题,采用NSGA-Ⅱ算法进行求解。算例采用修改的IEEE-33节点系统,计算结果验证了所提方法能有效降低协同规划成本,促进可再生能源的消纳利用。

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.