碳流管控下的配电网储能优化运行

Optimized operation of energy storage in distribution networks under carbon flow control

随着“碳达峰”与“碳中和”目标和新型电力系统不断推进,碳市场和储能系统是其不可忽略的重要助力,因此分析储能系统和碳交易机制提高配电网系统的经济性和低碳性具有重要意义。本文建立一个考虑碳交易市场的配电网储能优化运行模型,应用电力系统碳排放流理论来分析电力拓扑网络的节点碳势,构建考虑充放电效率的储能系统的内部碳流量和碳势计算模型,并运用考虑个体边际效益的Shapley值法来分摊用户侧的碳排放责任。根据IEEE-33节点配电网的仿真结果可知,用户侧碳排放责任与负荷规模及位置密切相关,Shapley值法能够公平合理地处理碳责任分摊,在确保电网运行可靠性的前提下,配置储能系统与阶梯式碳价交易机制的配电网系统使得区域整体碳排放量减少10.7%、配电网运营商收益提高8.2%、用户碳成本降低5.7%。本文展示了储能系统在高比例可再生能源配电网中优化运行和在减排中的关键作用,为未来电网的低碳化和经济化运营提供了理论和实践依据。

With the advancement of carbon peaking and carbon neutrality goals and the evolution of new power systems,the carbon market and energy storage systems have become essential components in enhancing the economic and low-carbon performance of distribution networks.This study establishes an optimized operation model for distribution networks integrated with energy storage,considering the dynamics of the carbon trading market.The model employs carbon emission flow theory to analyze node carbon potential within the power topology network,constructing a framework for calculating the internal carbon flow and carbon potential of storage systems,taking into account charging and discharging efficiencies.The Shapley value method,which evaluates individual marginal benefits,is utilized to allocate carbon emission responsibilities on the user side.Simulation results from an IEEE-33 node distribution network reveal that user-side carbon emission responsibilities are significantly influenced by load scale and location.The Shapley value method proves effective and equitable in managing carbon responsibility allocation.Under conditions ensuring reliable grid operation,a distribution network system equipped with energy storage and a tiered carbon pricing mechanism can achieve a 10.7%reduction in overall regional carbon emissions,an 8.2%increase in profits for distribution network operators,and a 5.7%reduction in user carbon costs.This research highlights the pivotal role of energy storage systems in optimizing operations and reducing emissions in high-renewable energy distribution networks,offering both theoretical and practical support for the future low-carbon and economically efficient operation of power grids.