Dynamic Uncertainty Set Characterization for Bulk Power Grid Flexibility Assessment

Pourahmadi, Farzaneh; Heidarabadi, Houman; Hosseini, Seyed Hamid; Dehghanian, Payman

doi:10.1109/jsyst.2019.2901358

Cited by 20 publications

(10 citation statements)

References 27 publications

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“…The total investment cost (23) includes the invest-ment cost of newly installed transmission lines (25) and BESS modules (26). The total operational cost is presented in (24), which includes the operational cost of the generating units (27), the BESS modules (28) with the fixed as well as variable maintenance costs, and wind curtailment cost (29). Note that {𝛼 ′ l ∕𝛼 ′′ l ∕𝛼 ′′′ l , 𝛿 B i , P G s,g,t , 𝛾 s,i,t , 𝜎} are considered as the set of decision variables in the proposed framework.…”

Section: Objective Functionmentioning

confidence: 99%

“…In [23], a robust optimization model is defined to measure the long-term planning and short-term operation metrics of flexibility. Authors in [24] suggest an adaptive robust optimization system flexibility model under a unit commitment time-scale framework considering wind uncertainty. In [25], a long-term stochastic co-optimization planning model is presented to minimize total cost and maintain power system flexibility under RESs uncertainties.…”

Section: Introductionmentioning

confidence: 99%

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Harnessing power system flexibility under multiple uncertainties

Mazaheri

Saber

Fattaheian‐Dehkordi

et al. 2022

IET Generation Trans & Dist

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Increasing the intermittent outputs of renewable energy sources (RESs) has forced planners to define a new concept named flexibility. In this regard, some short‐ and long‐term solutions, such as transmission expansion planning (TEP) and energy storage systems (ESSs) have been suggested to improve the flexibility amount. A proper optimization procedure is required to choose an optimal solution to improve flexibility. Therefore, a mixed‐integer linear programming (MILP) direct‐optimization TEP versus ESSs co‐planning model is presented in this paper to enhance power system flexibility. In doing so, a novel RES‐BESS‐based grid‐scale system flexibility metric is proposed to investigate the improvement of flexibility amount via ESSs modules in the numerical structure. In this paper, a novel repetitive fast offline method has been proposed to quickly reach the desired amount of flexibility by defining an engineering price/benefit trade‐off to finally find the best investment plan. Also, multiple uncertainties associated with wind farms and demanded loads and a practical module‐type battery energy storage system (BESS) structure for each node are defined. The proposed model is applied to the modified IEEE 73‐bus test system including wind farms, where the numerical results prove the model efficiency as BESS impacts on flexibility, investment plans and power system economics.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Harnessing power system flexibility under multiple uncertainties

Mazaheri

Saber

Fattaheian‐Dehkordi

et al. 2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…Furthermore, Y. K. Wu et al [2] quantified the flexibility of a power system with analytic hierarchy process method and considered flexible generation units in unit scheduling problems. F. Pourahmadi et al [3] studied the impact of wind generation temporal correlation on power system flexibility and the uncertainty interval of wind generation. M. Ghaljehei et al [4] proposed an incentive for generation flexible ramping product in 15 min market, on top of the existing day-ahead flexible ramping market.…”

Section: Introductionmentioning

confidence: 99%

Planning of Flexible Generators and Energy Storages under High Penetration of Renewable Power in Taiwan Power System

Tan

Chiang

et al. 2022

Energies

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The proportion of renewable power generation in the world has been increasing in recent years. However, the fluctuations and uncertainties of renewable power generation bring a considerable challenge to future unit scheduling. Therefore, the generation flexibility in power systems becomes more critical as a large amount of renewable generation is integrated into power systems. The use of flexible generators with energy storage systems is one of the most efficient methods of improving power system flexibility. The primary purpose of this study is to explore the effect of generation flexibility on the cost of unit scheduling. A flexibility index is used to evaluate the generation flexibility in the Taiwan power system, and a multi-scenario analysis for renewable power integration is considered. This study also considers various system constraints, such as the unit commitment of actual hydro and thermal units, the scheduling of flexible internal combustion engines (ICEs) and energy storage systems, and possible curtailments of renewable power generation. According to the seasonable characteristics of renewable power generation, this study provides a suitable capacity for flexible ICE units and energy storage systems. Furthermore, this study demonstrates that the cost of unit scheduling is effectively reduced by increasing flexible ICE units and energy storage systems. The results of this study can be used as a reference for power systems in preparing flexible generating units and energy storage systems under the integration of a large amount of renewable power generation in the future.

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“…This paper has quantified the relative flexibility based on conventional generation technologies compared to modern flexible options such as ESS and demand response programs. To measure the power grid flexibility, authors in [27] try to present a novel adaptive robust optimization model under a unit commitment time‐scale framework considering wind uncertainty. Finally, a five‐level MILP optimization model for TEP is proposed in [28] under generation expansion uncertainty considering flexible network technologies and N − 1 security criterion.…”

Section: Introductionmentioning

confidence: 99%

A linearized transmission expansion planning model under N − 1 criterion for enhancing grid‐scale system flexibility via compressed air energy storage integration

Mazaheri

Moeini‐Aghtaie

Fotuhi‐Firuzabad

et al. 2021

IET Generation Trans & Dist

Self Cite

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The concept of flexibility is defined as the power systems' ability to effectively respond to changes in power generation and demand profiles to maintain the supply-demand balance. However, the inherent flexibility margins required for successful operation have been recently challenged by the unprecedented arrival of uncertainties, driven by constantly changing demand, failure of conventional units, and the intermittent outputs of renewable energy sources (RES). Tackling these challenges, energy storage systems (ESS) as one important player of the new power grids can enhance the system flexibility. It, therefore, calls for an efficient planning procedure to ensure flexibility margins by considering ESS's role in modern power systems. This paper proposes a novel mixed integer linear programming (MILP) model for transmission expansion planning (TEP) framework taking into account the role of compressed air energy storage (CAES) integration on improvements in system flexibility. The proposed framework is housed with a quantitative metric of gridscale system flexibility, while a new offline repetitive mechanism is suggested to account for the N − 1 reliability criterion. The model is applied to different test systems, where the numerical results demonstrate the impacts of CAES units on system flexibility, investment plans, and the total costs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Dynamic Uncertainty Set Characterization for Bulk Power Grid Flexibility Assessment

Cited by 20 publications

References 27 publications

Harnessing power system flexibility under multiple uncertainties

Harnessing power system flexibility under multiple uncertainties

Planning of Flexible Generators and Energy Storages under High Penetration of Renewable Power in Taiwan Power System

A linearized transmission expansion planning model under N − 1 criterion for enhancing grid‐scale system flexibility via compressed air energy storage integration

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