Abstract A separate reactive market is necessary due to the vital role of reactive power in the system security and reliability. In order to maintain the reliability of the system, reactive power-based indices should be utilized in the reactive power market-clearing model, in which the improvement of these indices depends on the amount of reactive power reserve availability in the system. Therefore, the reactive power and reactive reserve markets have been modeled in this paper for the first time taking into account the reactive power-based reliability indices. In the present paper, a new stochastic framework for day-ahead reactive power and reserve markets clearing is formulated based on the reliability. A two-stage stochastic programming model is presented for the reactive power market clearing process, in which generation uncertainties have been simulated by the Monte Carlo method. In the stochastic programming model, a set of scenarios are considered for the stochastic reactive power market clearing. In each optimization problem, the objective function is defined as the total payment function (TPF) of generators. TPF includes the amount paid to the generators in order to compensate for their reactive power and reactive reserve. The efficiency of the proposed model is tested on IEEE 24-bus reliability system (IEEE RTS).

中文翻译：

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考虑机组停电不确定性的基于可靠性的无功功率和备用市场建模

摘要 由于无功功率在系统安全和可靠性中的重要作用，独立的无功市场是必要的。为了保持系统的可靠性，无功市场出清模型应采用基于无功功率的指标，其中这些指标的改善取决于系统中的无功储备可用量。因此，本文首次对无功功率和无功储备市场进行了建模，同时考虑了基于无功功率的可靠性指标。在本文中，基于可靠性制定了日前无功功率和储备市场清算的新随机框架。提出了无功市场出清过程的两阶段随机规划模型，其中发电不确定性已通过蒙特卡罗方法进行模拟。在随机规划模型中，为随机无功市场出清考虑了一组场景。在每个优化问题中，目标函数被定义为生成器的总支付函数（TPF）。TPF 包括支付给发电机的金额，以补偿其无功功率和无功储备。所提出模型的效率在 IEEE 24 总线可靠性系统 (IEEE RTS) 上进行了测试。TPF 包括支付给发电机的金额，以补偿其无功功率和无功储备。所提出模型的效率在 IEEE 24 总线可靠性系统 (IEEE RTS) 上进行了测试。TPF 包括支付给发电机的金额，以补偿其无功功率和无功储备。所提出模型的效率在 IEEE 24 总线可靠性系统 (IEEE RTS) 上进行了测试。