An Interval Power Flow Method based on Linearized DistFlow Equations for Radial Distribution Systems

Du, Jinqiao; Tian, Jie; Wu, Zhi; Li, Ao; Abbas, Ghulam; Sun, Qirun

doi:10.1109/appeec48164.2020.9220372

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Bus voltages were calculated using Distflow (Distribution load flow). 67 The DSM and AVC programs were based on the schemes presented earlier in Figures 9 and 10. 1.14 p.u.…”

Section: Pv Energy Yield Estimation Algorithmsmentioning

confidence: 99%

Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

Pillai

Allison

Tun

et al. 2021

Engineering Reports

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Future power networks are certain to have high penetrations of renewable distributed generation such as photovoltaics (PV). At times of high PV generation and low customer demand (e.g., summer), network voltage is likely to rise beyond limits mandated by grid codes resulting in a curtailment of PV generation, unless appropriate control means are used. This leads to a reduction in energy yield and consequently reduces the economic viability of PV systems. This work focuses on scenario-based impact assessments underpinned by a net prosumer load forecasting framework as part of power system planning to aid sustainable energy policymaking. Based on use-case scenarios, the efficacy of smart grid solutions demand side management (DSM) and Active Voltage Control in maximizing PV energy yield and therefore revenue returns for prosumers and avoided costs for distribution networks between a developed country (the UK) and developing country (India) is analyzed. The results showed that while DSM could be a preferred means because of its potential for deployment via holistic demand response schemes for India and similar developing nations, technically the combination of the weaker low voltage network with significantly higher solar resource meant that it is not effective in preventing PV energy curtailment. K E Y W O R D Sactive voltage control, demand side management, distributed generation, energy yield curtailment INTRODUCTIONThe decarbonisation of the energy network has created higher demand for electricity over oil and coal. Some of the electrical power network assets such as transformers and switchgear assets were installed as early as the 1950s and are still in use today. 1 For example, the UK's National Infrastructure Delivery Plan 2016-2021 identifies that "much of the existing infrastructure which has served us well is now old" and that "major investment is required to accommodate new generation and replace aging assets". However, there is also a greater focus now on lowering the cost of deliveringThis 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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“…Bus voltages were calculated using Distflow (Distribution load flow). 67 The DSM and AVC programs were based on the schemes presented earlier in Figures 9 and 10. 1.14 p.u.…”

Section: Pv Energy Yield Estimation Algorithmsmentioning

confidence: 99%

Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

Pillai

Allison

Tun

et al. 2021

Engineering Reports

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“…Batteries are not required if the PV system is linked to the electrical grid or uses the output power produced directly. The need for batteries arises exclusively when there is a user demand for electricity during night time and the intention to store energy throughout the day for later usage (Du et al, 2020). The PV system presents certain advantages, such as solar panels with affordable operating costs since they are self-contained once installed.…”

Section: Introductionmentioning

confidence: 99%

Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions

Khan,

Raza,

Jumani

et al. 2023

Front. Energy Res.

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The increasing demand for solar renewable energy resources, driven by the global energy crisis and the depletion of conventional energy sources, has underscored the importance of harnessing solar energy. Solar photovoltaic (PV) systems, however, exhibit nonlinear output power due to their weather-dependent nature, impacting overall system efficiency. This study focuses on the development and comparative analysis of three intelligent Maximum Power Point Tracking (MPPT) controllers using the MATLAB Simulink. The controllers employ distinct methodologies, namely, Artificial Neural Networks (ANN), Adaptive Neural and Fuzzy Inference System (ANFIS), and Fuzzy Logic Controller (FLC). The results demonstrate that ANFIS achieved the highest accuracy at 99.50%, surpassing ANN and FLC with accuracies of 97.04% and 98.50%, respectively, thus establishing ANFIS as the superior MPPT controller. Additionally, the positives and negatives of all three MPPT-based algorithms are also compared in this work.

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“…Parameters of the non-dispatchable generators for the industrial microgrid(Du et al, 2020). Parameters of energy storage devices for the industrial microgrid(Du et al, 2020).…”

mentioning

confidence: 99%

Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

et al. 2023

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Microgrids have benefited energy systems by getting rid of the abundant use of traditional energy resources, replacing them with distributed generations (DGs). The use of DGs in microgrids not only provides clean and green energy but also reduces the gigantic losses in transmission and distribution lines. Widespread adoption of renewable energy in microgrids saves customers from high fuel prices and provides a sustainable replacement for future fossil fuel depletion. Microgrids have proven to be the latest and most advanced power systems due to their new capabilities to operate in both grid-connected and isolated modes. Microgrids use multiple energy sources simultaneously, which can offset the intermittent behavior of renewable energy sources. In this study, we planned and optimized an industrial microgrid with an annual increase in load, which contains dispatchable generation, non-dispatched generation, and energy storage. In addition, to test the different behavior of a microgrid operating independently or in grid-tied mode, four typical days were selected to show the load demand and solar and wind energy forecast data for the entire year. The power output curves for each typical day were analyzed for every year in both stand-alone and grid-connected modes. Furthermore, to validate the feasibility of the microgrid, the investment and operations costs were also calculated in the paper.

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An Interval Power Flow Method based on Linearized DistFlow Equations for Radial Distribution Systems

Cited by 8 publications

References 13 publications

Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions

Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

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