Quantitative Evaluation Of Actual Loss Reduction Benefits of a Renewable Heavy DG Distribution Network

Nduka, Onyema S.; Pal, Bikash C.

doi:10.1109/tste.2017.2776610

Cited by 16 publications

(10 citation statements)

References 32 publications

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“…Nevertheless, significant phase imbalance due to the PV integration was noticed [10]. Furthermore, [11], [12] have also studied the harmonic emissions from PVs in networks with significant background distortions and voltage imbalance.…”

Section: Introductionmentioning

confidence: 99%

Field Trial of Coordinated Control of PV and Energy Storage Units and Analysis of Power Quality Measurements

Nduka

Kunjumuhammed²,

Pal

et al. 2020

IEEE Access

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Trends support low voltage distribution networks will soon experience significant uptake of customer-owned low-carbon technology (LCT) devices especially rooftop photovoltaics (PVs) and small-scale energy storage (SSES) systems. This paradigm shift will introduce some significant challenges in modern distribution network planning and operations owing to the temporal nature of modern demand. Therefore, it became relevant to investigate the UK low voltage (LV) network operations considering high uptake of PVs and SSESs through both field measurements and desktop studies. The aim was to validate through field trials, the flexibility benefits of peak demand reduction and reverse power flow mitigation through smart control of customer-owned SSESs. It was shown that peak demand of up to 60% could be achieved in UK distribution network through the smart control of these devices. In tandem with the demand reduction, the study revealed that type-tested SSES power interface units do not pose significant power quality risks even for 100% customer penetration. INDEX TERMS Ancillary services, coordinated control, distribution networks, low carbon technology, low voltage, photovoltaics, power quality, small-scale energy storage systems.

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Section: Introductionmentioning

confidence: 99%

Field Trial of Coordinated Control of PV and Energy Storage Units and Analysis of Power Quality Measurements

Nduka

Kunjumuhammed²,

Pal

et al. 2020

IEEE Access

Self Cite

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“…In (12), X Lc , X CPF , X LPF are the fundamental impedances of L c , C PF and L PF . α x is the firing angle of the thyristor.…”

Section: Design Of Vdcf Cpf and Lpf Based On Power Flow Analysis Undmentioning

confidence: 99%

“…However, the SVCs suffer from drawbacks, such as resonance problem, harmonic current injection and poor harmonic compensation ability. To overcome the drawbacks and improve the performances of SVCs simultaneously, the inverter based controlled active power filters (APFs) were proposed in the year of 1976 [11] [12]. Unfortunately, APFs still cannot have large scale development in the power quality markets due to the high initial and operational costs.…”

Section: Introductionmentioning

confidence: 99%

H-Infinity Control of an Adaptive Hybrid Active Power Filter for Power Quality Compensation

Mouodo¹,

Tamba²,

Mayi³

et al. 2020

EPE

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“…Therefore, the different objective function can be considered to maximize the positive effects of DG. Some of the most utilized objectives are energy loss minimization, voltage quality improvements, and economic benefits maximization . Different constraints must be considered during searching for the best location and size of DG units, regardless of the objective function and solution approach.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method Based on PPSO for Optimal Placement and Sizing of Distributed Generation

Ullah

Wang

Radosavljević³

2019

IEEJ Transactions Elec Engng

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Energy loss minimization, voltage profile improvement, and increasing reliability of the power system are the prominent advantages of distributed generation (DG) unit's integration in distribution systems. Therefore, optimal placement and sizing of DG become a critical issue. This article proposes a recently developed adaptive particle swarm optimization (PSO) algorithm known as phasor particle swarm optimization (PPSO) to solve the problem of optimal placement and sizing of DG units in radial distribution networks. The PPSO algorithm is based on modeling the particle control parameters with a phase angle (θ) transforming standard PSO into a self‐adaptive and parametric independent metaheuristic optimization algorithm. The main objective is to minimize the energy loss in the network considering various technical constraints and load variations. In particular, the proposed approach is implemented on a practical radial distribution feeder located at the Haripur area in Pakistan taking into account the hourly actual load values. Comparison of the devised PPSO algorithm with other techniques in the literature was done via an IEEE 33 bus test system. The results obtained by the proposed PPSO algorithm show that it enables a significant reduction in power loss for all the analyzed cases, and outperforms many of other solution techniques applied for the same problem. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Quantitative Evaluation Of Actual Loss Reduction Benefits of a Renewable Heavy DG Distribution Network

Cited by 16 publications

References 32 publications

Field Trial of Coordinated Control of PV and Energy Storage Units and Analysis of Power Quality Measurements

Field Trial of Coordinated Control of PV and Energy Storage Units and Analysis of Power Quality Measurements

H-Infinity Control of an Adaptive Hybrid Active Power Filter for Power Quality Compensation

A Novel Method Based on PPSO for Optimal Placement and Sizing of Distributed Generation

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