Multistage AC transmission expansion planning including fault current-limiting high-temperature superconducting cables and multiple distributed generations to improve short-circuit level and grid-scale flexibility

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-24 DOI:10.1049/gtd2.13172
Mojtaba Shivaie, Reza Artis, Sanjeevikumar Padmanaban
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Abstract

This paper proposes a new multistage AC model for transmission expansion planning that finds an optimal combination of transmission lines, fault current-limiting high-temperature superconducting cables, and multiple distributed generations (DGs). On this basis, the proposed model, from a new perspective, allows for simultaneous improvement of the short-circuit level and grid-scale flexibility (GFLX) under both normal and fault conditions. The objective function to be minimized includes not only the net present worth of the total investment and operation costs but also the congestion-induced GFLX degradation measure. This model also takes the AC power balance and flow relationships, equipment capacity limits, nodal voltage bounds, DG penetration level limit, as well as discrete logical and financial restrictions together into account with the short-circuit level constraint. To overcome the complexity of solving the resultant non-convex mixed-integer non-linear optimization problem, a multi-objective integer-coded melody search algorithm is employed, followed by a fuzzy satisfying decision-making mechanism to obtain the final optimal solution. The exhaustive case studies conducted on the IEEE 24- and 118-bus test systems verify the efficacy of the newly developed model in terms of cost-effectiveness, flexibility, and short-circuit level suppression when facing different normal and fault conditions.

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多级交流输电扩展规划,包括故障限流高温超导电缆和多个分布式发电系统,以提高短路水平和电网灵活性
本文提出了一种用于输电扩建规划的新型多级交流模型,该模型可找到输电线路、故障限流高温超导电缆和多个分布式发电(DG)的最佳组合。在此基础上,所提出的模型从一个全新的角度出发,允许在正常和故障条件下同时提高短路水平和电网规模灵活性(GFLX)。需要最小化的目标函数不仅包括总投资和运营成本的净现值,还包括由拥塞引起的 GFLX 退化度量。该模型还将交流电力平衡和流量关系、设备容量限制、节点电压限制、风电机组渗透水平限制以及离散逻辑和财务限制与短路水平约束一起考虑在内。为了克服解决由此产生的非凸混合整数非线性优化问题的复杂性,采用了一种多目标整数编码旋律搜索算法,然后通过模糊满足决策机制获得最终最优解。在 IEEE 24 总线和 118 总线测试系统上进行的详尽案例研究验证了新开发的模型在面对不同的正常和故障条件时在成本效益、灵活性和短路水平抑制方面的功效。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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