基于楼宇分布式能源提升配电网韧性的智能表计优化配置方法

针对现有配电网韧性研究未充分考虑需求侧资源价值的问题,提出了一种新的利用需求侧智能楼宇(smart building,SB)实现供电韧性的解决方案。首先,基于SB中能量转换存储设备的可调特性,分析了灾后SB对配电网的能量支撑作用。在此基础上,构建了基于二阶段随机规划的需求侧资源最优开发模型。在充分计及极端天气对电网损伤不确定性影响的基础上,以系统投资运行费用及灾后负荷损失成本综合最小作为目标,通过优化智能能量表计在SB用户中安装位置,实现对需求侧分布式能源在灾后负荷恢复中的贡献作用。最后以我国东部某沿海城市实际配电网为例,分析了基于SB供能系统提升配电网韧性的效果及成本效益,并验证了所提方法的有效性。

Optimal Allocation of Smart Energy Meters for Improving Distribution Network Resilience Based on Distributed Energy Resources in Buildings

For the existing studies on distribution network resilience seldom consider the demand-side resources and their values, this paper proposes a new solution scheme that uses the demand-side smart buildings(SB) to improve the power system resilience. By utilizing the flexibility of energy conversion and storage devices in SB, the energy support effect of SBs in the disasters is analyzed. On this basis, an optimal allocation model for smart energy meters based on two-stage stochastic programming is further constructed. The impact of extreme weather on the uncertainty of power grid damage is considered and the objective is to minimize the overall costs of the grid and the post-disaster load loss costs. By optimizing the allocation of smart meters among SB users, the demand-side’s contribution to post-disaster load recovery is quantified. The numerical studies are tested based on an actual distribution network in eastern China and the obtained results verify the effectiveness of the proposed approach.