Probabilistic Planning of Transmission Network Considering Operational Flexibility of Power System

Jianjie Li, Ping Li, Peng Li, Junshao Guo, Mingqiang Wang
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Abstract

The uncertainties about equipment failure will bring great challenges to the operation of transmission network. Therefore, it is important for transmission network to possess sufficient flexibility to accommodate the fluctuation of load and deal with unit failures. This paper proposes a probabilistic planning model of transmission network considering operational flexibility, which makes decision-making optimization for transmission network planning and reduces the influence of uncertainties about equipment failure. Moreover, the proposed model introduces the probability and expectation of up-flexibility-not-supplied (UFNS) and expected-energy-not-supplied (EENS), then uses penalty cost to quantify them, which enhances the reliability and economy of transmission network planning. Furthermore, the absolute value linearization method is used to linearize the expectation of UFNS and EENS, which greatly improves the calculation efficiency. The proposed model is solved using the CPLEX solver in General Algebraic Modeling System (GAMS). The practicality of model is verified by the IEEE-RTS system.
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考虑电力系统运行灵活性的输电网概率规划
设备故障的不确定性给输电网的运行带来了巨大的挑战。因此,输电网必须具备足够的灵活性,以适应负荷的波动和机组故障的处理。本文提出了考虑运行灵活性的输电网概率规划模型,对输电网规划进行决策优化,降低了设备故障不确定性的影响。此外,该模型引入了上弹性不供给(UFNS)和期望能量不供给(EENS)的概率和期望,并用惩罚成本对其进行量化,提高了输电网规划的可靠性和经济性。此外,采用绝对值线性化方法对UFNS和EENS的期望进行线性化处理,大大提高了计算效率。利用通用代数建模系统(GAMS)中的CPLEX求解器对该模型进行了求解。通过IEEE-RTS系统验证了模型的实用性。
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