Assessing the Economic Benefits of Compressed Air Energy Storage for Mitigating Wind Curtailment

Cleary, Brendan; Duffy, Aidan; O’Connor, Alan; Conlon, Michael; Fthenakis, Vasilis

doi:10.1109/tste.2014.2376698

Cited by 117 publications

(69 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The dynamics of the state of charge of hydrogen energy storage is expressed in (7) with round-trip efficiency of η e η f . The maximum charging/discharging power of hydrogen energy storage is bounded in (8), while constraint (9) restricts the permissible state of charge limits of energy storage. The total system demand is determined in (10), which is the summation of critical and flexible demand.…”

Section: Sizing Energy Storage To Firm Up Intermittent Renewable Genementioning

confidence: 99%

“…As the integration of large-scale storage into a system can significantly improve renewable generation usage, it recently has been the focus of considerable scholarly attention [6][7][8][9]. Although energy storage appears to be a feasible option with which to increase system flexibility for the accommodation of large-scale intermittent renewable generation, the high upfront costs of this advanced storage technology merit consideration.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

2018

View full text Add to dashboard Cite

Abstract:From an environment perspective, the increased penetration of wind and solar generation in power systems is remarkable. However, as the intermittent renewable generation briskly grows, electrical grids are experiencing significant discrepancies between supply and demand as a result of limited system flexibility. This paper investigates the optimal sizing and control of the hydrogen energy storage system for increased utilization of renewable generation. Using a Finnish case study, a mathematical model is presented to investigate the optimal storage capacity in a renewable power system. In addition, the impact of demand response for domestic storage space heating in terms of the optimal sizing of energy storage is discussed. Finally, sensitivity analyses are conducted to observe the impact of a small share of controllable baseload production as well as the oversizing of renewable generation in terms of required hydrogen storage size.

show abstract

Section: Sizing Energy Storage To Firm Up Intermittent Renewable Genementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

2018

View full text Add to dashboard Cite

show abstract

“…The constraint (14) establishes that indoor ambient temperature remains within the predefined upper and lower temperature limits, hence respecting the customers' thermal comfort at all times. Constraint (15) determines the thermal storage charging behavior.…”

Section: Frameworkmentioning

confidence: 99%

“…Recently, curtailment mitigation solutions such as demand response [4][5][6], active network management [7,8], network reinforcement [9,10], market rules and support schemes [11], and storage technologies [12][13][14][15][16][17] have been investigated in literature. While each option has pros and cons, storage technologies would be imperative to ensure a tolerable level of curtailment.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

2017

View full text Add to dashboard Cite

Driven by policy changes and technological advancement, wind power installations are booming as compared to any other types of power generation. However, the increased penetration of renewable generation in the power systems has resulted in high level of curtailment. Advanced energy storage technologies have been increasingly scrutinized as a feasible mitigation option in smart grids. This paper investigates the potential of mitigating wind generation curtailment via aggregating the domestic electric storage heaters. The key findings show that aggregating domestic thermal storages is a viable option for curtailment mitigation, but with the indispensable caution that mitigation potential significantly saturates as the share of wind generation escalates beyond a certain limit.

show abstract

“…while as mentioned above, in the second category, i.e. long term studies, some works did not address transmission constraints (such as [7]), some did not address uncertainties (such as [3]) or both (such as [7]). Also, different storage technologies are addressed in these works while their model might be extended for other technologies.…”

Section: Sets and Indices Gmentioning

confidence: 99%

Robust computational framework for mid‐term techno‐economical assessment of energy storage

Maghouli¹,

Soroudi

Keane

2016

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Abstract-Rapid expansion and integration of wind energy is restrained due to transmission capacity constraints and conventional generation technologies limited operational flexibility in todays power systems. Energy storage is an attractive option to integrate and utilize more renewable energy without major and timely upgrade of existing transmission infrastructure. Also it can be considered as a mean for differing the reinforcement plans. The evaluation of energy storage deployment projects is a challenging task due to severe uncertainty of wind power generation. In this paper a robust techno-economic framework is proposed for energy storage evaluation based on Information Gap Decision Theory for handling wind generation uncertainty. The total social cost of the system including conventional generators' fuel and pollution cost and wind power curtailment cost is optimized considering generators operational constraints and transmission system capacity limitations based on the DC model of the power grid. The effect of storage devices on system performance is evaluated taking into account wind power uncertainty. The proposed method is conducted on the modified IEEE Reliability Test System (IEEE-RTS) and the modified IEEE 118 bus test system to assess its applicability and performance in midterm robust evaluation of energy storage implementation plans.Index Terms-DC optimal power flow, Storage devices, Transmission capacity constraints, Wind power generation, Information Gap Decision Theory. NOMENCLATURE Sets & Indices Capacity of Wind turbine installed in busCharging/discharging efficiency of the energy storage unitCritical/opportunistic increase/decrease of base cost in RA/RS approach ($) ∆t Duration of time period t ag/bg/cg Fuel cost coefficient of thermal unit g P I. INTRODUCTION A. Background and motivationsMany countries have long term plans to increase the share of renewable energy resources in their generation mix. Among these renewable resources there has been increasing interest to invest and integrate more wind power in to existing power systems. However, increasing the wind penetration introduces profound challenges to traditional operating and planning practices. These new challenges arise mainly because of the variable nature of wind energy which results in none optimal operation of electric power systems. Traditionally it is accepted that electricity supply and consumption must remain in instantaneous balance the opportunity to store electrical energy in storage devices may now change this paradigm. Wind power intermittency and variability requires other fast ramping power sources to balance the supply-demand equilibrium in power systems [1]. Because of limiting capacity of fast ramping generation technologies such as hydro and pumped storage power plants, significant integration of wind power to existing power infrastructure requires major system upgrades or implementing energy storage facilities [2]. Besides, using energy storage facilities will result in more utilization of existing assets and ...

show abstract

Assessing the Economic Benefits of Compressed Air Energy Storage for Mitigating Wind Curtailment

Cited by 117 publications

References 12 publications

Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

Robust computational framework for mid‐term techno‐economical assessment of energy storage

Contact Info

Product

Resources

About