The Network Reliability Assessment and Risk Prevention Measures for the Power System of Kazakhstan Due to High Renewables

Svetlana Zhakiyeva, Bekzhan Mukatov, Rustam Nassirkhan, N. Zhakiyev
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Abstract

the electricity generation mix in Kazakhstan will be changed due to pushing up the share of intermittent renewables (RE) in the next two decades. The fulfillment of the expected demand for electricity in 2035 can lead to issues when the transmission capacity limit and permissible power surge are reached. In this paper analyzed two scenarios when renewable generation output in South Kazakhstan dropdown for 50% and 80%. Permissible power surge in the north-south transit according to the dynamic stability conditions and their impact on the network reliability were assessed. The short-term (8 seconds) operating edges of the power system to avoid unstable regimes were calculated using the Power Factory modeling tool. Optimal Power Flow (OPF) modeling approach was used for the technical and economic assessment of the impact of RE penetration in the electric power system of the Republic of Kazakhstan. To conclude, mathematical modeling of the optimal distributed mix of the mass deployment of solar and wind RE could minimize the dynamic instability and violation of power balance in the network.
哈萨克斯坦高可再生能源电力系统网络可靠性评估及风险防范措施
在未来20年,由于间歇性可再生能源(RE)份额的提高,哈萨克斯坦的发电结构将发生变化。2035年电力预期需求的实现可能导致输电容量极限和允许电涌达到时的问题。本文分析了南哈萨克斯坦可再生能源发电量下降50%和80%的两种情景。根据南北向电网的动态稳定条件,对南北向电网的允许功率浪涌及其对电网可靠性的影响进行了评估。使用power Factory建模工具计算了电力系统避免不稳定状态的短期(8秒)运行边缘。采用最优潮流(OPF)建模方法对哈萨克斯坦共和国电力系统中可再生能源的渗透影响进行了技术经济评估。综上所述,大规模部署太阳能和风能可再生能源的最佳分布组合的数学建模可以最大限度地减少网络的动态不稳定性和对功率平衡的破坏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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