Operational flexibility enhancement in power systems with high penetration of wind power using compressed air energy storage

N. Amoli, A. P. Sakis Meliopoulos
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引用次数: 12

Abstract

Unquestionably, renewable energy sources (RES) are an indispensable part of the future power systems, so-called smart grids. Since these sources are of variable and uncertain power output, power system operators would come across many challenges in operating future electric power systems. Increasing penetration of variable RES specifically wind power generation could lead to an increased need in operational flexibility within power systems, so that a more flexible power system could accommodate a larger amount of variable RES and effectively deal with increased variability and uncertainty of the system net load that results from the inherent intermittency of RES. Among options available, energy storage systems (ESS) could be considered to address this issue. In this paper, compressed air energy storage (CAES) is introduced and investigated for this purpose. A stochastic programming market-clearing model is presented to examine CAES capability for enhancing operational flexibility in power systems with high penetration of wind power. In order to demonstrate the efficacy of CAES, some case studies are carried out in a three-bus test system. The satisfactory results verify CAES ability at enhancing power system operational flexibility in terms of reduction in wind power curtailment and system operation cost.
利用压缩空气储能技术提高风电高渗透电力系统的运行灵活性
毫无疑问,可再生能源(RES)是未来电力系统(即所谓的智能电网)不可或缺的一部分。由于这些电源的输出功率是可变的和不确定的,电力系统运营商在运行未来的电力系统时将面临许多挑战。可变可再生能源(特别是风力发电)的日益普及可能会导致电力系统对运行灵活性的需求增加,因此更灵活的电力系统可以容纳更多的可变可再生能源,并有效地处理由于可再生能源固有的间歇性而导致的系统净负荷的变异性和不确定性增加。在可用的选择中,储能系统(ESS)可以考虑解决这个问题。本文介绍并研究了压缩空气储能技术(CAES)。提出了一种随机规划市场出清模型,以检验CAES在高风电渗透率电力系统中提高运行灵活性的能力。为了证明CAES的有效性,在一个三总线测试系统中进行了一些案例研究。令人满意的结果验证了CAES在减少弃风和系统运行成本方面提高电力系统运行灵活性的能力。
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