Title :
Operational flexibility enhancement in power systems with high penetration of wind power using compressed air energy storage
Author :
Amoli, Nahid Aslani ; Sakis Meliopoulos, A.P.
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
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.
Keywords :
compressed air energy storage; power markets; power system economics; smart power grids; stochastic programming; wind power; CAES; ESS; RES; compressed air energy storage; electric power systems; energy storage systems; power system operational flexibility; power system operators; renewable energy sources; smart grids; stochastic programming market-clearing model; system operation cost; three-bus test system; wind power curtailment; wind power generation; Energy storage; Power systems; Spinning; Stochastic processes; Uncertainty; Wind forecasting; Wind power generation; Compressed air energy storage; net load variability; operational flexibility; stochastic market-clearing; wind power curtailment;
Conference_Titel :
Power Systems Conference (PSC), 2015 Clemson University
Conference_Location :
Clemson, SC
DOI :
10.1109/PSC.2015.7101694