Stochastic multi‐stage model for co‐planning of transmission system and merchant distributed energy resources

Ranjbar, Hossein; Hosseini, Seyed Hamid

doi:10.1049/iet-gtd.2018.6324

Cited by 19 publications

(17 citation statements)

References 34 publications

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“…[18][19][20]35]) considered different penetration levels of DERs in the TEP formulations while the others (e.g. [1,13,23,24]) proposed co-planning models for TEP and DERs. These works utilized DERs to decrease the total operation cost of power systems by displacing the expensive generators and keep the most burden of planning on transmission lines.…”

Section: Introductionmentioning

confidence: 99%

“…These are costly infrastructure that are funded mainly by the government. Making such decisions is very challenging for the governments because of their economic, environmental and technical implications [1, 2]. A study conducted by National Council on Electric Policy (NCEP) has shown that building new transmission lines, even in the pre‐existed right‐of‐way, is a complicated process that may need a prolonged regulatory approval process [3, 4].…”

Section: Introductionmentioning

confidence: 99%

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Bi‐level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems

Ranjbar

Saber

Sharifzadeh

2022

IET Generation Trans & Dist

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This paper presents a novel stochastic planning framework for the integration of renewable distributed energy resources (DERs) into existing power systems without relying on new investments in the transmission networks. The upper-level problem of the proposed model aims at minimizing the total expected social cost of supplying demand that includes the expected cost of getting energy from conventional generating units and DERs, the congestion cost of transmission networks, and the greenhouse gas (GHG) emission cost, while each of the privately invested DER satisfies a specified rate of return. The lowerlevel problem clears the electricity market to find locational marginal prices (LMPs) and operation status of the system. The proposed framework is formulated as a bi-level optimization problem that is recast as a single-level problem using the duality technique. The non-linear terms are then linearized using the "bigM" method and the complementary slackness conditions. The uncertainties in the power production of renewable resources and the future electric loads are captured using the scenario technique in which the copula method is employed for considering the correlation between uncertainties. Finally, the effectiveness and applicability of the proposed method are validated on a 3-bus test system and the modified IEEE RTS 24-bus system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bi‐level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems

Ranjbar

Saber

Sharifzadeh

2022

IET Generation Trans & Dist

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“…Commonly applied to evaluate the TEP formulations and reliability evaluation of the transmission systems [41][42][43][44], the RTS 24-bus test system-including 10 generators and 38 transmission lines-is utilized to demonstrate the flexibility benefits achieved from the proposed framework. In this system, the data on the network buses and the transmission lines are available in [21], [38].…”

Section: Test System Data and Assumptionsmentioning

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

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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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“…The power balance at each bus is shown in (28), which is satisfied for all load block b and year t. Equations (29) and (30) calculate constrained transmission flows. Constraint (31) shows constrained generating units.…”

Section: Solution Algorithm For the Coordinated Planning Algorithmmentioning

confidence: 99%

“…The proposed BP enhances the ESS utilisation in both networks by involving the ISO coupled with DSO objective functions and corresponding network constraints in the optimisation. Ranjbar and Hosseini [30] consider planning of transmission network coordinated with investment on new DERs in distribution network to prevent high ICs on transmission network.…”

Section: Introductionmentioning

confidence: 99%

Coordinated power system expansion planning considering the DSO's market operations

Kabiri-Renani

Ehsan

Shahidehpour

et al. 2019

IET Generation, Transmission & Distribution

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Stochastic multi‐stage model for co‐planning of transmission system and merchant distributed energy resources

Cited by 19 publications

References 34 publications

Bi‐level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems

Bi‐level planning of distributed energy resources into existing transmission grids: Pathway to sustainable energy systems

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

Coordinated power system expansion planning considering the DSO's market operations

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