Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems

Emiroğlu, Selçuk; Uyaroğlu, Yılmaz; Ozdemir, Gulcihan

doi:10.4316/aece.2017.04012

Cited by 15 publications

(7 citation statements)

References 23 publications

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“…When wind speed is beyond the specified cut-off wind speed, the turbine is shut down. The rated output from wind turbines is governed by the equation below [34]: P wT =P w xN w (3) where N w denotes the total number of wind turbines.…”

Section: Wind Turbinesmentioning

confidence: 99%

“…To overcome such limitations, two major elements of smart grid topologies are introduced, power flow and data flow through the entire network, which are utilized to find the most prominent solutions. Smart meters in the grid ensure communication between the consumers, power producers, and load aggregators [1][2][3]. The bidirectional data and energy flows are the most important features of smart grid technology.…”

Section: Introductionmentioning

confidence: 99%

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Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

et al. 2021

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From a residential point of view, home energy management (HEM) is an essential requirement in order to diminish peak demand and utility tariffs. The integration of renewable energy sources (RESs) together with battery energy storage systems (BESSs) and central battery storage system (CBSS) may promote energy and cost minimization. However, proper home appliance scheduling along with energy storage options is essential to significantly decrease the energy consumption profile and overall expenditure in real-time operation. This paper proposes a cost-effective HEM scheme in the microgrid framework to promote curtailing of energy usage and relevant utility tariff considering both energy storage and renewable sources integration. Usually, the household appliances have different runtime preferences and duration of operation based on user demand. This work considers a simulator designed in the C++ platform to address the domestic customer’s HEM issue based on usages priorities. The positive aspects of merging RESs, BESSs, and CBSSs with the proposed optimal power sharing algorithm (OPSA) are evaluated by considering three distinct case scenarios. Comprehensive analysis of each scenario considering the real-time scheduling of home appliances is conducted to substantiate the efficacy of the outlined energy and cost mitigation schemes. The results obtained demonstrate the effectiveness of the proposed algorithm to enable energy and cost savings up to 37.5% and 45% in comparison to the prevailing methodology.

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Section: Wind Turbinesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

et al. 2021

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“…Real and reactive power equality constraints 9 given in Equations (18) and (19) as follows:

∆ P_{i} = P_{Gi} - P_{Li} - V_{i} \sum_{k = 0}^{N_{b}} V_{k} ((), italiccos θ_{ik} G_{ik} + italicsin θ_{ik} B_{ik}) = 0

∆ Q_{i} = Q_{Gi} - Q_{Li} - V_{i} \sum_{k = 0}^{N_{b}} V_{k} ((), s normali n θ_{ik} G_{ik} - italiccos θ_{ik} B_{ik}) = 0

where P Gi , Q Gi , and P Li , Q Li are real and reactive power generation and loads, respectively.…”

Section: Problem Formulationmentioning

confidence: 99%

“…For more energy savings, the Korean smart distribution management system (K‐SDMS), a research project started in 2009, which comprises distributed generation (DG) and static VAr compensators (SVCs) with CVR and tested it experimentally on the Korean distribution system 7 . In Refs., 8,9 VAr power support has been given along with CVR to achieve demand reduction. However, simple voltage control is implemented on a balanced distribution network.…”

Section: Introductionmentioning

confidence: 99%

Substation demand reduction by CVR enabled intelligent PV inverter control functions in distribution systems

Arora

Satsangi²,

Kaur

et al. 2020

Int Trans Electr Energ Syst

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Summary This article proposes a combined scheme to reduce the substation demand with conservation voltage reduction (CVR) alongside intelligent photovoltaic (PV) inverter control functions. CVR maintains the power delivered to the customers in lower service voltage range (120‐114)V by not influencing electric devices' performance at the consumer premises. Since most of the loads are voltage‐dependent at the consumer side, proper voltage control can obtain substantial demand reduction and energy savings. In the proposed work, CVR is applied to both medium‐sized (IEEE‐123 node test feeder) and large‐sized (IEEE‐8500 node test feeder) unbalanced distribution feeders without PV and with intelligent PV inverter. In addition, the transient nature of PV output power is also examined during the movement of the clouds. The smart PV inverter utilizes various control functions (Volt‐VAr, Volt‐VAr [hysteresis], Volt‐Watt, and combi mode) to control the system's active and reactive power. Results reveal that operating CVR with intelligent PV inverter in the hysteresis Volt‐VAr mode helps achieve higher substation demand reduction than with only CVR operation. This combination reduces system losses and contributes to energy savings when better voltage regulation is provided. It also helps in maintaining the reliability and efficiency of the distribution network.

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“…With a same way, In [3] a modification has been done for the CPC power theory to four-wire unbalanced power, for objective to gives the smallest possible line losses in the same transferred of the active power to the load in non symmetrical and unbalanced distribute voltage. For this reason a load flow is an important analysis tool to improve the PQ [4].…”

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confidence: 99%

Unbalanced Load Flow With Hybrid Wavelet Transform and Support Vector Machine Based Error-Correcting Output Codes for Power Quality Disturbances Classification Including Wind Energy

Rahmani

Slimani

Bouktir

2019

Elektroteh. elektromeh.

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Purpose. The most common methods to design a multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to classify and characterize the power quality disturbances such as harmonic distortion, voltage sag, and voltage swell include wind farms generator in power transmission systems. Firstly three phases unbalanced load flow analysis is executed to calculate difference electric network characteristics, levels of voltage, active and reactive power. After, discrete wavelet transform is combined with the probabilistic ECOC-SVM model to construct the classifier. Finally, the ECOC-SVM classifies and identifies the disturbance type according to the energy deviation of the discrete wavelet transform. The proposed method gives satisfactory accuracy with 99.2% compared with well known methods and shows that each power quality disturbances has specific deviations from the pure sinusoidal waveform, this is good at recognizing and specifies the type of disturbance generated from the wind power generator. References 22, tables 8, figures 9. Key words: unbalanced load flow, wavelet transform (WT), support vector machines (SVM), power quality disturbance, wavelet energy. ECOC-SVM для построения классификатора. Наконец, ECOC-SVM классифицирует и идентифицирует тип возмущения в соответствии с отклонением энергии дискретного вейвлет-преобразования. Предложенный метод дает удовлетворительную точность 99,2% по сравнению с хорошо известными методами и показывает, что каждое нарушение качества электроэнергии имеет определенные отклонения от чисто синусоидальной формы волны, что способствует распознаванию и определению типа возмущения, генерируемого ветровым генератором. Библ. 22, табл. 8, рис. 9. Ключевые слова: несбалансированный поток нагрузки, вейвлет-преобразование (WT), машины опорных векторов (SVM), нарушение качества электроэнергии, энергия вейвлета. Цель. Наиболее распространенные методы построения мультиклассовой классификации заключаются в определении набора двоичных классификаторов и их объединении. В данной статье предложена машина опорных векторов с классификатором выходных кодов исправления ошибок (ECOC-SVM) с целью классифицировать и характеризовать такие нарушения качества электроэнергии, как гармонические искажения, падение напряжения и скачок напряжения, включая генератор ветровых электростанций в системах передачи электроэнергии. Сначала выполняется анализ потока несимметричной нагрузки трех фаз для расчета разностных характеристик электрической сети, уровней напряжения, активной и реактивной мощности. После этого дискретное вейвлетпреобразование объединяется с вероятностной модельюHow to cite this article: Rahmani A., Slimani L., Bouktir T. Unbalanced load flow with hybrid wavelet transform and support vector machine based error-correcting output codes for power quality disturbances classification including wind energy.

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Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems

Cited by 15 publications

References 23 publications

Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

Substation demand reduction by CVR enabled intelligent PV inverter control functions in distribution systems

Unbalanced Load Flow With Hybrid Wavelet Transform and Support Vector Machine Based Error-Correcting Output Codes for Power Quality Disturbances Classification Including Wind Energy

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