Reduction of distribution system losses using solar energy cooperativity by home user

Hamzaoğlu, Ahmet; Erduman, Ali; Alçı, Mustafa

doi:10.1016/j.asej.2021.02.040

Cited by 12 publications

(11 citation statements)

References 23 publications

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“…Further, let us compare different variants for ECom allocation. Four nodes were considered for ECom placement: (1) at the feeder's head-node 149 (cases 23,27,31,35); (2) in the middle of the feeder-node 152 (cases 24, 28, 32, 36), node 160 (cases 21, 25, 29, 33); (3) at the feeder's tail-node 108 (cases 22,26,30,34). Due to the large capacity of DERs there are significant power flows from the points of PV installation to the system.…”

Section: Results Of Energy Losses Assessmentmentioning

confidence: 99%

“…Therefore, attention to the prosumers management is on the agenda, and there are multiple research papers dedicated to the problems related to the increasing penetration of DERs. Of particular interest are the problems of voltage and capacity constraints violation and of the power and energy losses minimization in such networks [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of energy losses in power distribution systems with individual prosumers and energy communities

Diahovchenko

Petrichenko

2023

The Journal of Engineering

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Achieving the energy transition target will require the extensive engagement of consumers and the private sector in investment and operation of renewable-based power systems. Support of individual prosumers and proliferation of energy communities are efficient ways to implement this engagement. To facilitate smooth integration of prosumers with photovoltaic (PV) installations, while satisfying effective operation of the power distribution system (PDS), it is important to fundamentally assess energy losses for different grid development scenarios. In this paper, the energy losses are compared for two alternatives: (a) when prosumers with PV installations act as individual grid users, and (b) when prosumers become participants of a solar energy community. To achieve this goal, modeling of loads, prosumers' behavior and PV generation was performed. Furthermore, it has been analyzed how the physical topology of the distribution network can be harmonized with the underlying bidirectional power flows for each alternative, while complying with system constraints. The IEEE 123 Node Test Feeder was employed to capture the performance of the PDS and to estimate the energy loss with various penetration levels of prosumers. The results indicate that reduction of energy losses is only possible until a certain PV penetration level, after which additional PV capacities cause increase in energy losses and complicate the PDS's operation. Lower energy losses were supervised for the cases with dispersed PV generation, compared to the cases focused on energy communities. This means that the PDS demonstrates better tolerance to evenly distributed prosumers, rather than to single sources of a larger scale installed in one node. The outputs of this study will help the energy planners and utilities in improving performance of the PDS in terms of loss minimization and loadability maximization. JEL CLASSIFICATIONRenewable power engineering 1

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Section: Results Of Energy Losses Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of energy losses in power distribution systems with individual prosumers and energy communities

Diahovchenko

Petrichenko

2023

The Journal of Engineering

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“…Low-voltage network losses are significantly impacted by the integration of DERs, and the impact can both increase [41] and decrease network losses [42] . Installation of PVs leads to the consumption of locally produced electrical energy and consequentially decreased network losses, while some other technologies, e.g., EVs or heat pumps, lead to increased consumption and increased network losses.…”

Section: Resultsmentioning

confidence: 99%

Utilization of physical devices for the improvement of power quality indicators during the COVID-19 pandemic and uncoordinated integration of low carbon units

Antić

Capuder

2022

Sustainable Energy, Grids and Networks

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“…On the other hand, it is included in the algorithm as a dynamic variable in other some studies. 33 w in the velocity formula is a constant value and it has been suggested to take the value of 0.9 in the early periods of the literature. Later, it has been suggested that this value should be a weight that starts from 0.9 and decreases linearly up to 0.4.…”

Section: Fundamental Concepts Of Pso and Ms-pso Algorithmsmentioning

confidence: 99%

“…w , which is accepted as the inertia coefficient, is taken as a constant between 0.4 and 0.9 in some of the studies. On the other hand, it is included in the algorithm as a dynamic variable in other some studies 33 . w in the velocity formula is a constant value and it has been suggested to take the value of 0.9 in the early periods of the literature.…”

Section: Fundamental Concepts Of Pso and Ms‐pso Algorithmsmentioning

confidence: 99%

Determination of m ulti‐step constant current based fast charging method for Li‐NMC battery cells using multi‐ swarm particle swarm optimization algorithm

Çarkıt

Alçı

2022

Intl J of Energy Research

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Summary Thanks to today's developing technology, lithium‐ion batteries in commercial use have become important components in energy storage systems and electric vehicles. In lithium‐ion battery‐based systems, it is especially important that the electrochemical structures of electric vehicle batteries and rapid charging process as allowed by the manufacturers. In other respects, it is necessary to define the best quality, fastest and healthiest charging method within the limited time period determined in line with user requests. In this study, an intelligent charging algorithm is designed and adapted to the problem for optimizing the charging current capacity and charging time for INR 18650 cylindrical type 2000 mAh Li‐NMC battery cells, taking into account the manufacturer's notes and the characteristics of the battery cells. To determine the optimum fast charging method by completing the total charging time within 30 min, the multi swarm‐particle swarm optimization technique with both fixed and dynamic internal weights has been used. The algorithm with dynamic state variables has showed an average improvement of 0.03% and a maximum of 1.08% in the cellular chargeable capacity value, according to the test data consisting of 11 pulses and 1 A constant current. Otherwise, the algorithm with dynamic internal weights has achieved an average improvement of 1.14% and a maximum of 2.21% when compared to the fast charging information on the manufacturer's information page using the constant current‐constant voltage method. Considering the 50‐minute fast charging data in the manufacturer's information notes, the algorithm with dynamic weights improved the charging time by approximately 54.4%. As a result of running the dynamic weighted algorithm, a maximum improvement of 0.06% in terminal voltage and 0.92% in the state of charge value has been observed. When hundreds of cells in electric vehicle battery blocks and mobile energy storage systems come together, this increase provides significant energy savings. Similar to the increase in charging capacity, an improvement in equilibrium voltage, charging efficiency and state of charge has been also detected at the end of the charging process. Consequently, the method in the study has provided high charging capacity in a shorter time, while keeping the energy efficiency at high levels.

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Reduction of distribution system losses using solar energy cooperativity by home user

Cited by 12 publications

References 23 publications

Assessment of energy losses in power distribution systems with individual prosumers and energy communities

Assessment of energy losses in power distribution systems with individual prosumers and energy communities

Utilization of physical devices for the improvement of power quality indicators during the COVID-19 pandemic and uncoordinated integration of low carbon units

Determination of m ulti‐step constant current based fast charging method for Li‐NMC battery cells using multi‐ swarm particle swarm optimization algorithm

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