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Cost-Benefit Analysis Method for Optimizing Spinning Reserve Requirements with Consideration of Wind Power Generation under Carbon Trading Environment

机译:碳交易环境下考虑风力发电的纺丝备用量需求优化的成本效益分析方法

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Because various uncertainties in power systems including forecast errors of load and wind power as well as forced outages of generators are difficult to be comprehensively and accurately considered, the existing methods of spinning reserve optimization considering low-carbon factors cost cannot coordinate the impacts of wind power scheduling on the reliability, economy and low-carbon emission of power systems operation. Therefore, based on cost-benefit analysis, the loss-of-load risk of power systems considering wind power curtailments and the probabilistic characteristics of load, wind power and generators is firstly determined in this paper, and then a model which simultaneously minimizes the generation cost of conventional generators, the expected cost of load shedding, the penalty cost of wind power curtailments and the carbon emission cost is proposed to calculate the amount of optimal spinning reserve by introducing the value of lost load and the carbon emission trading mechanism. It achieves the joint optimization of the low-carbon emission, economy and reliability of power systems operation. Using mixed integer linear programming method, simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.
机译:由于难以全面,准确地考虑电力系统的各种不确定性,包括负荷和风电的预测误差以及发电机的强制停机,因此,现有的考虑低碳因素成本的旋转备用优化方法无法协调风电的影响。调度电力系统运行的可靠性,经济性和低碳排放。因此,在成本效益分析的基础上,首先确定了考虑风电削减以及负荷,风电和发电机的概率特性的电力系统的负荷损失风险,然后建立了同时减少发电量的模型。通过引入空载价值和碳排放权交易机制,提出了常规发电机的成本,甩负荷的预期成本,削减风能的惩罚成本和碳排放成本,以计算最佳旋转储备量。它实现了低碳排放,经济性和电力系统运行可靠性的联合优化。使用混合整数线性规划方法,对连接到风电场的改进型IEEE 26发电机可靠性测试系统进行仿真研究,以验证所提出模型的有效性和优势。

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