Risk-based dynamic generation and transmission expansion planning with propagating effects of contingencies
Risk-based dynamic generation and transmission expansion planning with propagating effects of contingencies
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DOI：
10.1016/j.ijepes.2019.105762
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发表时间：
2020-06
影响因子：
5.2
通讯作者：
M. Mehrtash;A. Kargarian
中科院分区：
文献类型：
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作者：
M. Mehrtash;A. Kargarian
必须加强输电网和发电机组，以满足日益增长的电力需求，并将电力系统的可靠性保持在可接受的水平。根据该标准，规划的电力系统必须能够在单个元件（N-1安全标准）停电的情况下满足需求，并且必须最小化级联故障的可能性。考虑各种突发事件对电力系统的传播效应，提出了基于风险的动态发输电扩展规划模型。利用风险的概念，得到事故后的减载惩罚成本，并将其加入目标函数中，使高风险事故得到更大程度的惩罚。麦考密克松弛是量身定制的，以改变目标函数为线性格式。为了保证模型的实用性，采用二阶锥规划模型来表示潮流，并在动态时间框架内对问题进行建模。该模型被表述为一个混合整数二阶锥规划问题。对RTS 24总线测试系统的数值研究表明了该模型的有效性。
Transmission networks and generating units must be reinforced to satisfy the ever-increasing demand for electricity and to keep power system reliability within an acceptable level. According to the standards, the planned power system must be able to supply demand in the case of outage of a single element (N-1 security criteria), and the possibility of cascading failures must be minimized. In this paper, we propose a risk-based dynamic generation and transmission expansion planning model with respect to the propagating effect of each contingency on the power system. Using the concept of risk, post-contingency load-shedding penalty costs are obtained and added in the objective function to penalize high-risk contingencies more dominantly. The McCormick relaxation is tailored to alter the objective function into a linear format. To keep the practicality of the proposed model, a second-order cone programming model is applied for power flow representation, and the problem is modeled in a dynamic time frame. The proposed model is formulated as a mixed-integer second-order cone programming problem. The numerical studies on the RTS 24-bus test system illustrate the efficacy of the proposed model.