计及设备寿命与虚拟储能的农业配电系统低碳优化调度

Low-Carbon Optimal Scheduling of Agricultural Distribution Systems Considering Equipment Lifespan and Virtual Energy Storage

中文关键词:生命周期损耗  虚拟储能  低碳优化调度  中低压配电系统  碳排放

keywords:life cycle loss  virtual energy storage  low-carbon optimal scheduling  medium and low-voltage distribution system  carbon emissions

中文摘要:针对“双碳”背景下，大量分布式资源接入中低压配电系统导致台区资源无法合理利用的问题，提出一种计及设备全生命周期损耗与农业台区聚合特性的中低压配电系统低碳优化调度策略。上层以中压台区运行成本及碳排放成本最小为目标，下层以光伏-风电-储能（photovoltaic-wind turbine-electrical energy storage，PV-WT-ESS）系统运行成本最小为目标，并对PV-WT-ESS系统全生命周期碳排放过程进行分解量化；提出低压台区虚拟储能模型，充分挖掘各台区可调度能力；基于改进后的IEEE 39节点和IEEE 33节点进行算例仿真，对比台区耦合运行前后系统的成本及碳排放强度，验证所提模型的可行性。仿真结果表明：所提模型和调度方法能够有效缓解设备寿命损耗、促进新能源消纳、降低碳排放和系统运行成本。

Abstract:Against the backdrop of the "dual carbon" goals， the massive integration of distributed resources into medium and low-voltage distribution systems has led to the inefficient utilization of resources in distribution station areas. To address this issue， a low-carbon optimal scheduling strategy for medium and low-voltage distribution systems is proposed， which takes into account the whole-life cycle losses of equipment and the aggregation of agricultural distribution station areas. A bi-level optimization scheduling model is constructed： the upper level aims to minimize the operation cost and carbon emission cost of medium-voltage station areas， while the lower level targets the minimum operation cost of the photovoltaic-wind turbine-electrical energy storage （PV-WT-ESS） system， with the carbon emission process of the PV-WT-ESS system throughout its life cycle decomposed and quantified. In addition， a virtual energy storage model for low-voltage station areas is established to fully tap the dispatchable potential of each station area. Case simulations are carried out based on the modified IEEE 39-bus and IEEE 33-bus systems， and the system cost and carbon emission intensity before and after the coupled operation of station areas are compared to verify the feasibility of the proposed model. Simulation results show that the proposed model and scheduling method can effectively mitigate equipment life cycle losses， promote the consumption of renewable energy， and reduce carbon emissions and the overall operation cost of the system.