Impact of Distributed Generation technologies on generation curtailment

Hidayat, Mohammad Noor; Li, Furong

doi:10.1109/pesmg.2013.6672607

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…Distribution networks in-between a DG system and the grid supply point GSP have a high influence on the DGcontribution to the transmission network, especially for high DG penetration via a relatively weak network [27]. Conditions like distribution network congestion or fault are likely to constrain DG's output, requiring a curtailment of that output by DNOs to relieve network congestion [32]- [35]. Consequently, a discounted DG contribution is seen by the transmission grid.…”

Section: B Network Effectsmentioning

confidence: 99%

DG Locational Incremental Contribution to Grid Supply Level

Hernando‐Gil¹,

Zhang²,

Ndawula³

et al. 2022

IEEE Trans. on Ind. Applicat.

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Due to decarbonisation and decentralisation of energy sectors, the rise of distributed generation (DG) will modify generation and demand patterns at grid supply points (GSPs), where the interface between distribution and transmission systems takes place. With the increasing penetration of such devices, methodologies able to evaluate its contribution to both local distribution network and transmission system become crucial. This paper proposes an analytical method to evaluate the DG locational incremental contribution (LIC) to the interface with the transmission grid. Accordingly, the original model of the UK engineering recommendation P2 is enhanced by studying the impacts from high-voltage distribution networks (i.e. ≤ 132 kV) under normal and contingent conditions. This approach enables a more accurate network security assessment, especially when considering contingencies such as distribution system faults. To illustrate the proposed method, the original P2 model is compared against different enhanced approaches on three basic distribution networks, followed by a case study and a sensitivity analysis on a revised IEEE 14-bus GSP system. The proposed LIC method produces results that assess a wider range of conditions including DG penetration, concentration, and system reliability. Furthermore, it provides an increased DG visibility for transmission planning and operation.

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Section: B Network Effectsmentioning

confidence: 99%

DG Locational Incremental Contribution to Grid Supply Level

Hernando‐Gil¹,

Zhang²,

Ndawula³

et al. 2022

IEEE Trans. on Ind. Applicat.

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“…There are analytical technical studies for the safety assessment of the distribution network including the distributed generation. Depending on the breaker control regions and the feeder sections, a directed relationship graph is generated for an electrical distribution network to define the structure of the distribution network [8]- [11]. The quality of the network is of paramount importance because the failures experienced by customers are due to failures in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Tür

2020

IEEE Access

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The main task of distribution systems is to provide acceptable reliability, economic and quality service of electrical power according to the demanded load value. To fulfill this task more accurately, the reliability performance of the distribution system can be performed and measured using a wide variety of indices, which are divided into energy indices and frequency/expectation indices. This study evaluates the reliability indices of a part of the distribution network selected as a model and deals with the selection of the most suitable feeder by connecting energy storage units to the busbars. Using IEEE Standard 1366 reliability indices, historical data from Prosperous Electricity Distribution Company (PEDC), which is used to evaluate reliability based on the 5-year past reliability assessment of the power system (RAPS), was selected. In addition, as an innovation in this application process, energy storage systems (ESS) have been evaluated according to four different network configurations (A-B-C-D) to increase RAPS and achieve more realistic results. Using DigSILENT, ESS-based configurations are designed, comparisons are made, and configuration B is the best result to increase system reliability and the 80E6 feeder is optimal. In addition, reliability changes achieved by network configuration have demonstrated the importance of optimal configuration planning to improve the uninterrupted and sustainable energy quality of the system based on storage technology. INDEX TERMS Energy storage, Monte Carlo methods, power distribution faults, power system control, power system reliability.

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“…Distributed generation is a term to refer to a small-capacity electricity generation system located and to be consumed dispersedly. The connection of distributed plants has been known to increase the efficiency and reliability of power system [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Enhancement of the power system distribution reliability using ant colony optimization and simulated annealing methods

Suyono

Hasanah

Mudjirahardjo

et al. 2020

IJEECS

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<span>The increasing demand of electricity and number of distributed generations connected to power system greatly influence the level of power service reliability. This paper aims at improving the reliability in an electric power distribution system by optimizing the number and location of sectionalizers using the Ant Colony Optimization (ACO) and Simulated Annealing (SA) methods. Comparison of these two methods has been based on the reliability indices commonly used in distribution system: SAIFI, SAIDI, and CAIDI. A case study has been taken and simulated at a feeder of Pujon, a place in East Java province of Indonesia, to which some distributed generators were connected. Using the existing reliability indices condition as base reference, the addition of two distributed plants, which were micro hydro and wind turbine plants, has proven to lower the indices as much as 0.78% for SAIFI, 0.79% for SAIDI, and 2.32% for CAIDI. The optimal relocation of the existing 16 sectionalizers in the network proved to decrease further the reliability indices as much as 43.96% for SAIFI, 45.52% for SAIDI, and 2.8% for CAIDI, which means bringing to much better reliability condition. The implementation of the SA method on the considered data in general resulted in better reliability indices than using the ACO method.</span>

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Impact of Distributed Generation technologies on generation curtailment

Cited by 10 publications

References 3 publications

DG Locational Incremental Contribution to Grid Supply Level

DG Locational Incremental Contribution to Grid Supply Level

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Enhancement of the power system distribution reliability using ant colony optimization and simulated annealing methods

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