The Coordinated Planning of “Source-Load-Storage” Active Distribution Network under Low-carbon Economy

Panlong Jin, Zongchuan Zhou, Xue Feng, Zhiyuan Wang
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引用次数: 1

Abstract

The carbon peaking and carbon neutrality goals makes the distribution network develop towards low carbon in China, environmental protection and economy, and the demand for new energy power generation resources with zero carbon emission is more urgent. However, how to balance the low-carbon cost and economic cost and realize the scientific planning and access of multiple flexible resource forms such as “source”, “storage” and “load” to the active distribution network (ADN) remains to be solved. Therefore, a bi-level planning model of the ADN was developed, which aims at carbon cost and economy, considering multiple flexible resource access. In the upper level planning, the distributed generations (DGs) and energy storage systems (ESSs) are located and rated with the objective of economy. In the lower level planning, the DG, interruptible load, and ESS are co-optimized with the objective of reducing network loss, and the modified particle swarm optimization algorithm is proposed for solution. The case study results show that the improved solution model can reduce carbon emissions obviously, and ensure the lowest comprehensive cost and realize ADN low-carbon economic operation.
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低碳经济条件下“源-负荷-蓄”主动配电网协调规划
碳调峰和碳中和的目标使得配电网在中国向着低碳、环保、经济的方向发展,对零碳排放的新能源发电资源的需求更加迫切。然而,如何平衡低碳成本和经济成本,实现“源”、“储”、“负荷”等多种灵活资源形式对主动配电网(ADN)的科学规划和接入,仍是有待解决的问题。为此,建立了以碳成本和经济性为目标,考虑多种灵活资源获取方式的ADN双层规划模型。在上层规划中,以经济性为目标,对分布式发电系统和储能系统进行选址和评级。在下级规划中,以减少网络损耗为目标,对DG、可中断负荷和ESS进行协同优化,提出了改进的粒子群优化算法进行求解。案例研究结果表明,改进后的解决方案模型能明显降低碳排放,保证综合成本最低,实现ADN低碳经济运行。
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