Optimal utilization of automated distributed generation in smart grid using genetic algorithm

Hoballah, Ayman; Ahmad, Y.; Shoush, Kamel A.

doi:10.11591/ijeecs.v16.i1.pp82-91

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The part of electrical power system involves the delivery of energy to consumers and the associated features. DA deployments highlighted several continuing challenges for grid modernization [33]:  Improved cyber security and interoperability standards, protocols, tools, and techniques for safe, rapid, and cost-effective DA implementation.  Faster simulation methods and more robust control approaches to operate modern grid systems with large amounts of variable generation.…”

Section: Distribution Grid Managementmentioning

confidence: 99%

Challenges, issues and opportunities for the development of smart grid

Salkuti

2020

IJECE

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The development smart grids have made the power systems planning and operation more efficient by the application of renewable energy resources, electric vehicles, two-way communication, self-healing, consumer engagement, distribution intelligence, etc. The objective of this paper is to present a detailed comprehensive review of challenges, issues and opportunities for the development of smart grid. Smart grids are transforming the traditional way of meeting the electricity demand and providing the way towards an environmentally friendly, reliable and resilient power grid. This paper presents various challenges of smart grid development including interoperability, network communications, demand response, energy storage and distribution grid management. This paper also reviews various issues associated with the development of smart grid. Local, regional, national and global opportunities for the development of smart grid are also reported in this paper.

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Section: Distribution Grid Managementmentioning

confidence: 99%

Challenges, issues and opportunities for the development of smart grid

Salkuti

2020

IJECE

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“…Through the feasibility analysis of using electrical energy sources from solar panels, a smart energy management is needed [8], [9]. Several studies have examined the smart grid management system between sources and loads [10]- [12], in strategies [13], [14], maintaining a balance between loads and sources [15], and uncontrollable demand and energy [16]. To determine the stable operating state of the system can be sought through power flow analysis [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of smart grid management system on campus building

Maizana

Rezky

Putri

et al. 2023

IJEECS

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Medan Area University is one of the private universities in North Sumatra that is also involved in the development of renewable energy technology. This technological development has initiated the University's efforts to develop an electrical system by developing a smart grid system in order to reduce the University's operational costs. However, in its realization, it has its own challenges, such as power flow stability and transient stability. Both problems can be analyzed using ETAP 12.6 software. In one of the cases analyzed, the smart grid system can reduce the use of the active power of the transformer by 11 kW and a current of 19.7 Amp. Meanwhile, in the Indonesian State Electricity Company (PLN) off condition, the smart grid system has not been able to supply the load because the availability of renewable energy sources is not sufficient for the load requirement. As well as the results of the voltage and frequency analysis, the highest voltage is 376.4 Volts, the lowest is 375.9 Volts, which is still in the stable category of 380 Volt voltage deviation because it is not +5% and -10%, and the overall frequency of the cases discussed is consistent stable at nominal 50 Hz.

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“…In [3], GA is used for solving the DG optimization problem to reduce power loss. Similarly, in [4], GA is also proposed for determining location and size of DG in the smart grid network. In [5], artificial bee colony method (ABC) has been applied to find the appropriate position and size of DG in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Enhanced sunflower optimization for placement distributed generation in distribution system

Nguyen

2021

IJECE

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Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that ESFO has proficiency for determining the best location and size of DG with higher quality than SFO. The compared results with the previous methods have also shown that ESFO outperforms to other methods in term of power loss reduction. As a result, ESFO is a reliable approach for the DG optimization problem.

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Optimal utilization of automated distributed generation in smart grid using genetic algorithm

Cited by 4 publications

References 19 publications

Challenges, issues and opportunities for the development of smart grid

Challenges, issues and opportunities for the development of smart grid

Stability analysis of smart grid management system on campus building

Enhanced sunflower optimization for placement distributed generation in distribution system

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