An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty

Tavares, Bruna; Soares, Filipe

doi:10.1016/j.epsr.2020.106272

Cited by 20 publications

(3 citation statements)

References 13 publications

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“…Such investments would be very costly if the network is designed to meet the critical days' high demand peaks, which are not so frequent. This is also in line with the existent literature on mandatory flexibility (Tavares and Soares, 2020) and on voluntary flexibility schemes from Spiliotis et al (2016) and Askeland et al (2021). Our contribution here is to compare both types of demand-side connection agreements.…”

supporting

confidence: 74%

Demand-side flexibility in distribution grids: Voluntary versus mandatory contracting

2023

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supporting

confidence: 74%

Demand-side flexibility in distribution grids: Voluntary versus mandatory contracting

2023

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“…To fulfill these goals, 'several research works were reviewed, whose results are presented here. Some works had already proposed to calculate the size and site of distributed generation (DG) units to decrease energy losses, improve voltage characteristics, and then enhance system loadability and reliability [18][19][20][21][22][23]. In this respect, [18] minimized total power losses and improved the voltage stability by the planning of WT and PV units, based on a new multi-objective particle swarm optimization.…”

Section: Related Workmentioning

confidence: 99%

An analytical optimum method for simultaneous integration of PV, wind turbine and BESS to maximize technical benefits

Khoubseresht

Rajabinezhad

Mousavi

2023

IET Generation Trans & Dist

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The present paper introduces an analytical approach for integrating distributed energy resources (DERs) and battery energy storage systems (BESSs) into power grids. The given method aims to simultaneously identify optimal buses and capacities of DERs and BESSs, with regard to the responsive load demand along with the stochastic nature of wind turbine (WT) and photovoltaic (PV) units, and then to minimize energy losses and improve voltage profiles. For this purpose, the responsive load model, the uncertainties in the WT and PV units, and the BESSs are firstly modeled. Secondly, the output curve of BESSs is obtained so that demand and supply can be balanced effectively, so as to utilize the full‐potential output of DERs. Thirdly, a set of formulation is developed for simultaneous integration of the DERs and the BESSs. This formulation reflects on different levels of loads and DERs for each period as well as each segment with their corresponding probability density. Finally, the proposed method is tested on the standard IEEE 33‐bus network. These results verify that sizing and sitting of DERs and BESSs can significantly shape the planning results of DERs and increase their penetration in the power grids at the same time.

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“…Most soft approaches rely on advanced network control to manage the DER impacts on the distribution network. These approaches include demand response and DER-derived flexibility [16], [18], as well as active network management (ANM) [22], [23]. The use of energy storage [15], electric vehicles [21], and other voltage control strategies aimed at network strengthening have been explored [17] as part of soft reinforcement strategies.…”

Section: Introductionmentioning

confidence: 99%

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

Waswa,

Chihota,

Bekker

2023

IEEE Access

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Conductor size selection (CSS) is critical for the optimal design and operation of distribution networks. CSS, like other aspects of network planning, has become increasingly sophisticated as the prevalence of distributed energy resources (DERs) increases. This complexity is linked to DER operational and planning uncertainties, which often exacerbate network issues. Increased uncertainty and uncontrolled DER penetration can result in increased conductor loading and extreme voltage performance concerns (rise, drop, and unbalance) that lower the quality of supply (QoS). Traditional CSS techniques, which were developed for passive systems, do not take DERs into account. Therefore, continued application of these methodologies in CSS for modern networks is untenable. As a result, the shift towards active network design and planning requires new CSS techniques that can enhance the adoption of DERs and facilitate optimal longterm network planning. This paper presents a review of CSS methodologies, focusing on the advances made to accommodate DERs, particularly the adaptation of modeling processes to cater to DER planning and operational uncertainties, and its impacts on other key aspects of CSS. Key CSS processes, including the choice of the CSS objectives, input (loads, generation, and feeder) modeling, load flow assessment, optimization, as well as the incorporation of risk in DER analysis are discussed. Informed by the review, the paper scopes the requirements for a robust CSS methodology for active networks with high DER penetration. The findings of the paper are relevant to future research in the field of active distribution network design with a focus on optimizing the integration and utilization of DERs and the related technical performance of networks.

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An innovative approach for distribution network reinforcement planning: Using DER flexibility to minimize investment under uncertainty

Cited by 20 publications

References 13 publications

Demand-side flexibility in distribution grids: Voluntary versus mandatory contracting

Demand-side flexibility in distribution grids: Voluntary versus mandatory contracting

An analytical optimum method for simultaneous integration of PV, wind turbine and BESS to maximize technical benefits

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

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