Modelling and Characterisation of Flexibility From Distributed Energy Resources

Riaz, Shariq; Mancarella, Pierluigi

doi:10.1109/tpwrs.2021.3096971

Cited by 57 publications

(18 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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 [28], a hydro-photovoltaic-pumped storage generation expansion planning is proposed considering solar and load uncertainty to balance planning costs and operational flexibility constraints. Reference [29] tries to propose a flexibility framework for distributed energy resources considering the capacity, ramp, duration, and cost as flexibility metrics. Finally, an analytical framework for estimating the operational flexibility of distribution networks is defined in [30] including the quantification of node flexibility, the system flexibility matching, and the transmission system flexibility.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

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

“…Both q ak and q rk are functions of active power P gk and voltage magnitude V gk and are defined in the following subsection. For each generator either (12) or one of ( 10), (11) must hold as equality. However, there is no need to add one more complementarity constraint, since the load maximization ensures that at the solution the free variable of generator voltage will be at its highest possible value.…”

Section: A Optimization Formulation For Voltage Stability Marginmentioning

confidence: 99%

“…In [8], the authors address this issue and define a convex core of the non-convex flexibility region. Finally, in [11] a distinction is made between the terms "flexibility" and "feasibility", while in [12] different flexibility regions are defined depending upon the services provided.…”

Section: Introductionmentioning

confidence: 99%

Using Active Distribution Network Flexibility to Increase Transmission System Voltage Stability Margins

Prionistis¹,

Vournas²

2022

Preprint

View full text Add to dashboard Cite

The increasing penetration of Distributed Energy Resources (DER) in the distribution network creates new challenges in the operation of both the transmission and the distribution network. However, the controllability of the converter interfaced devices (CIG), also unveils opportunities for flexible operation and provision of ancillary services with or without economic incentives. The main scope of this work is to create a framework in order to calculate the operational flexibility of an Active Distribution Network and use it to address a centralized Optimal Power Flow Problem by the Transmission System Operator, and in particular the Voltage Stability Margin maximization. Two different approaches are proposed to calculate the Flexibility Region (FR) in the PQ plane, and the centralized optimization is applied to simple and more complex transmission test systems and feeder configurations.

show abstract

“…Specific indicators are based on maximum capacity, minimum stable generation and up/down ramp rates of conventional generators [3], determining the aggregated maximum flexibility through Minkowski sums on polytopes [2]. In addition, the available operational flexibility depends on time-variable constraints [4].…”

Section: Introductionmentioning

confidence: 99%