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Coordinated generation and transmission expansion planning for a power system under physical deliberate attacks

机译:物理故意攻击下电力系统的协调发电和输电扩展计划

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This paper proposes a static model for coordinated generation and transmission expansion planning (CGTEP). While reducing the cost of investment, operation and energy not served within the system, the model aims to mitigate the vulnerability of power system against physical deliberate attacks in the horizon of planning. Moreover, the peak load of twelve days in a year is taken as a sample of the months to well consider the impacts of load variations over a year. The physical deliberate attacks and their subsequent impacts are also assessed through scenario building procedure. To this end, each scenario in any given month is built as an attack plan targeting transmission system and accordingly they are assigned weights proportional to the consequent damage inflicted on the power system. According to the generated scenarios for physical deliberate attacks, CGTEP is modeled as a mixed integer nonlinear programming problem (MINLP), where the network operation constraints are described by DC power flow equations in different scenarios. Afterward, using some linearization methods, the planning problem is transformed to a mixed integer linear programming (MILP) problem that can be solved by conventional optimization software. Finally, the proposed model is implemented in IEEE 24-bus reliability test system (RTS) and then numerical results are yielded to assess several case studies. The effect of input parameters on the model such as the budget of expansion planning, the number of scenarios, different objective functions, the value of shed load and also different load levels are analyzed. The significance of the proposed approach in mitigating power system vulnerability is well confirmed by numerical results.
机译:本文提出了一种用于发电和输电协调扩展计划的静态模型(CGTEP)。该模型在减少系统内未提供的投资,运营和能源成本的同时,旨在减轻电力系统在规划范围内遭受有意蓄意攻击的脆弱性。此外,以一年中十二天的峰值负荷为例,以充分考虑一年中负荷变化的影响。还通过方案构建过程评估了物理故意攻击及其后续影响。为此,将任何给定月份中的每种情况构建为针对传输系统的攻击计划,并相应地为它们分配与对电力系统造成的后续损害成比例的权重。根据生成的针对物理故意攻击的方案,将CGTEP建模为混合整数非线性规划问题(MINLP),其中网络操作约束由不同方案中的直流潮流方程描述。然后,使用一些线性化方法,将规划问题转换为可以通过常规优化软件解决的混合整数线性规划(MILP)问题。最后,该模型在IEEE 24总线可靠性测试系统(RTS)中实现,然后得出数值结果以评估若干案例研究。分析了输入参数对模型的影响,例如扩展计划的预算,方案的数量,不同的目标函数,脱落负荷的值以及不同的负荷水平。数值结果很好地证明了所提出的方法在缓解电力系统脆弱性方面的重要性。

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