随着新型电力系统建设和"双碳目标"的发展,分布式新能源和灵活性负荷在配电网中的渗透率越来越高,主动配电网的低碳经济调度面临巨大挑战.考虑系统碳排放的同时考虑车辆到电站(vehicle-to-grid,V2G)的储能特性,建立了电动汽车有序充放电模型.基于可转移负荷和可中断负荷进行负荷需求响应建模,并对配电网支路潮流约束进行二阶锥松弛处理,以主动配电网调度成本最小为目标构建了一种考虑V2G储能特性与负荷需求响应的主动配电网日前低碳经济调度模型;计及风光出力不确定性得到主动配电网低碳鲁棒调度模型并采用行列生成算法(column and constraint generation,CCG)算法进行求解,以保证最坏场景的碳排放在允许范围以内.采用IEEE 33节点配电系统算例进行了验证,结果表明,所提模型能够有效降低主动配电网的调度成本和碳排放量.
Research on the Low-Carbon Robust Dispatch of Active Distribution Networks Considering Storage Characteristics of V2G and Load Demand Response
With increasing penetration of distributed renewable energy and flexible loads in the distribution network,the traditional distribution network is gradually transitioning to an active distribution network.Due to vigorous development of new power systems and promotion of dual-carbon goals,the low-carbon economic dispatch of the active distribution network faces great challenges.Taking into account of the energy storage characteristics of V2G while ensuring the carbon emission of the system is within an allowable range,this paper establishes an orderly charging and discharging model for electric vehicles,and models the load demand response based on transferable loads and interruptible loads.Furthermore,the second-order cone relaxation process is carried out on the power flow constraints,and a low-carbon economic dispatch model for the active distribution network is constructed considering the energy storage characteristics of V2G and the load demand response to minimize the dispatching cost.Finally,considering the uncertainties of wind and solar generation,a low-carbon robust scheduling model of the active distribution network is obtained and solved using the column and constraint generation(CCG)algorithm to ensure that the carbon emissions in the worst-case scenario are also within the allowable range.The case studies of the IEEE 33-node power distribution system verify that the proposed model can effectively reduce the dispatching cost and carbon emission.
active distribution networkenergy storage characteristics of V2Gload demand responsestepwise carbon tradingrobust optimization
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