The Impact of Embedded Generation on Distribution Grid Operation

Motyka, David; Kajanová, Martina; Bracinik, Peter

doi:10.1109/icrera.2018.8566741

Cited by 22 publications

(11 citation statements)

References 13 publications

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“…During maximum generation using minimal load, the embedded generators may increase the loading levels of transformers and transmission lines. Hence, the generated data can be utilised by control centres for effective grid control [35,36].…”

Section: Impact Of Embedded Generationmentioning

confidence: 99%

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Kumar¹,

Kasinathan²,

Elavarasan

et al. 2021

Sustainability

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The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.

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Section: Impact Of Embedded Generationmentioning

confidence: 99%

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Kumar¹,

Kasinathan²,

Elavarasan

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Unlike the BPSO, the INBPSO technique uses modified equations for the probability and new position calculation. The ruling equations and syntax for this technique are: (19) where, (20) where, (…”

Section: Lsismentioning

confidence: 99%

“…To carry out the optimum integration of renewable energy powered EVCS (REP-EVCS) in power injection mode, a thorough literature review in the domain of optimum distributed generation (DG) allocation and DG size optimization is accomplished. The impact of renewable energy powered embedded generation on the distribution network was studied in [20]. The study revealed that there may be a favourable or adverse impact of this integration on the distribution network along with the whole power grid.…”

Section: Introductionmentioning

confidence: 99%

Renewable Energy Supported Bi-directional Electric-Vehicle Charging Station Allocation in Distribution Network using INBPSO Technique

Datta

Sengupta²

2021

IJRER

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With the sustained growth in the electric-vehicle (EV) industry, the installation of a large number of electric-vehicle charging stations (EVCSs) is the utmost important in recent energy policies of all countries. On the other side, due to the augmented awareness on renewable energy especially the photovoltaic (PV) and wind energies, the installation of renewable energy based EVCSs and their integration into the radial distribution networks have become a promising choice with the feasible bi-directional power flow facility catered by the EVCSs. Bi-directional EVCSs can enable power flow from renewable source/EV to grid and grid to EV to balance power demand for EV as well as distribution network. The optimum allotment of renewable energy powered EVCSs in existing power distribution system is a matter of great significance to maintain the power balance as well as the voltage profile and to minimize the total active power loss of the network. This paper presents a strategy for optimum allocation of renewable energy powered EVCSs in a large distribution network with the focus on power balance, voltage profile improvement, and active power loss minimization. An improved new binary particle swarm optimization (INBPSO) technique is applied in collaboration with a fast and efficient power flow analysis technique for performing dynamic power flow computation. Validation is conducted on IEEE 15-bus system considering different cases of power flow directions and power ratings. Additionally, voltage as well as loss sensitivity analyses are performed to ascertain the acceptability of the optimum locations obtained by the computation approach.

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“…A recent paper has studied the performance of distribution grid due to deep penetration of distributed generation in the system [21]. Another research on the renewable energy gives optimization of design of RES using EMO [22].…”

Section: (B) Reduction In the Distribution Power Lossesmentioning

confidence: 99%

Smart Distribution Grid â€“ and How to Reach the Goal

2019

ijSmartGrid

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The paper "reviews" different aspects of a "Smart Distribution Grid", which the planning and operation engineers of a distribution company must know to make the distribution area "Smart". First, it is proposed to explain the problems being faced when planning new power stations or new transmission lines and the reasons why it has become necessary for the power system engineers to request the distribution engineers to give increased emphasis on demand-response and demand-side management. Then, the paper gives the necessity of educating domestic, commercial and industrial consumers and the distribution engineers about the energy conservation. Finally, the paper discusses the essential technological requirements of a smart grid, which are: "Smart Meters", "Information and Communication Technology", "Advanced Demand-Side Management", "Virtual Power Plant", "Distributed Generation", "Battery Energy Storage and Vehicle-to-Grid System" and "Operation of Electricity Market in the Smart Grid Environment". The paper ends with a brief description of developments of smart grids in India.

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The Impact of Embedded Generation on Distribution Grid Operation

Cited by 22 publications

References 13 publications

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Renewable Energy Supported Bi-directional Electric-Vehicle Charging Station Allocation in Distribution Network using INBPSO Technique

Smart Distribution Grid â€“ and How to Reach the Goal

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