Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Atteya, Inji Ibrahim; Ashour, Hamdy A.; Fahmi, N.R.; Strickland, Dani

doi:10.1109/icrera.2016.7884556

Cited by 22 publications

(12 citation statements)

References 28 publications

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“…According to Papavasiliou and Oren [57], nowadays the adoption of sustainable energy sources by smart grid system is becoming supreme and significant, which is gaining more attention of researchers. Atteya et al [58] added that smart grid has more essential functions, besides sustainable energy unification and depository of energy in the distribution system. According to Vallee et al [59], combining sustainable energy sources into smart grid is allowing to reduce greenhouse gases and decreasing the usage of fossil fuels and to save the cost, regarding constructing more centralized power generation units.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Making the World More Sustainable: Enabling Localized Energy Generation and Distribution on Decentralized Smart Grid Systems

Bhatti¹,

Danilovic²

2018

WJET

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Smart grid is an idea of upgradation of the traditional electric grid infrastructure. The efficiency of the existing electrical grid can be automated by integrating with innovative technical equipment such as: high-tech forecasting system, digital sensors, advanced two-way communication and two-way power flow systems. Smart grid establishes an interface between utility and consumer which helps to use energy, based on the preferences of price, eco-friendly and without technical system issues. It empowers the grid to be more secure, reliable and efficient. The peer-reviewed articles and published government reports have been reviewed, based on the analysis of technical characteristics of power generation systems, eco-friendly sources of power generations, cost reduction, functionality and design of traditional grid versus smart grid. Furthermore, the innovative technologies that enable the grid to integrate with decentralized power generation system efficiently have been considered. This paper claims that in this modern era, it is arduous for traditional grid to fulfill the rising demand of electricity, along with sustainable, eco-friendly and stable power supply, as it cannot be efficiently integrated with decentralized and localized power generation systems and renewable energy sources. The result of this paper shows that decentralized and localized power generation systems are located close to end-users which decrease the transmission and supply cost of electricity. Innovative technologies allow the decentralized and localized power generation systems to be integrated with renewable energy sources which help to reduce the cost of utility services and provide clean energy. Moreover, technological advancement played a decisive role in enabling the electrical system to be more efficient. Electrical reliability can be improved, greenhouse gas emissions can be reduced, renewable energy sources can efficiently be integrated, and rising demand for electricity can be How to cite this paper: Bhatti, H.J. and Danilovic, M.

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Section: Discussionmentioning

confidence: 99%

“…Atteya et al [58] argue that smart grid has more essential functions besides sustainable energy unification and depository of energy in a system distribution.…”

Section: Integration Of Smart Grid With Renewable Energymentioning

confidence: 99%

Making the World More Sustainable: Enabling Localized Energy Generation and Distribution on Decentralized Smart Grid Systems

Bhatti¹,

Danilovic²

2018

WJET

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“…Currently, smart grid is a wide research area [36]. Atteya et al [37] state that renewable energy system integration and serving as a storeroom in a distributed system are a small part of smart grid features. A smart grid provides a reduction of greenhouse gas pollution, a decrease in fossil fuel consumption, as well as makes electricity generation and distribution much cheaper.…”

Section: Traditional Grid To Smart Gridmentioning

confidence: 99%

Business Model Innovation Approach for Commercializing Smart Grid Systems

Bhatti¹,

Danilovic²

2018

AJIBM

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The depletion of fossil fuels, increased environmental concerns, rising cost and the demand for clean energy are causing the transformation of energy generation and distribution system, to shift towards the consumption side. Electricity generation sources and distribution systems are drifting from non-renewable to renewable, centralized to decentralized and localized, and traditional grid systems to smart grid systems. New technologies nurture the concept of transformation of energy firms, all the way from energy production to electricity consumption. Smart grid systems are one of the disruptive and emerging technologies that might influence the entire electricity system. This disruptive technology demands a new business model which can be used to commercialize the new power distribution system and thus create value for all stakeholders, from production to consumption. The Smart grid has the potential to revolutionize the electricity industry if it is commercialized successfully. It allows information and communication technology firms to contribute with their modern technology to empower their consumers to regulate the usage of electricity. To investigate the reasons for shifting from the old to the new energy system, the impact of this disruptive technology on energy providing firms, the demand for the new business model and the approach of the new business model in terms of creating and capturing values published peer-reviewed articles, and international energy agency reports have been reviewed. This paper encourages energy providing firms to redesign business models for commercializing new energy distribution system and to offer new services to the energy consumers for their future survival in the new trends of the energy market. These services include integrating with renewable energy sources, electric vehicle services, and demand response services to create more value for the consumers and in return gains more profit for each actor. The services provided through integration of renewable energy with smart grid and the electric vehicle will empower consumers involvement in the How to cite this paper: Bhatti, H.J. and Danilovic, M.

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“…In this research, the total search space for initial radial configurations for both 33 and 69 networks are 16,128 and 139,776 configurations, respectively, calculated based on the tree diagram probability. The search space for the 33 IEEE network is studied in [9,10]. It should be noted that some switches should not be within the search space such as: (i) S1, S2 link between the main supply and the overall system.…”

Section: Random Selective Search Spacementioning

confidence: 99%

“…A designed software has been implemented following MPSO steps discussed below using Python language 2.7.8 to communicate with IPSA 2.4 on a 2.4 GHz, core™ i7-5500 central processing unit with 8.0 GB random access memory for losses reduction. MPSO flowchart is explained and presented in [9]: (i) Enter the swarm parameters including the acceleration constants, the weighting factor and the swarm size (S).…”

Section: Mpso Solution Stepsmentioning

confidence: 99%

Radial distribution network reconfiguration for power losses reduction using a modified particle swarm optimisation

Atteya

Ashour

Fahmi

et al. 2017

CIRED - Open Access Proceedings Journal

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Recently, losses reduction gained a great deal of attention in distribution system due to low-voltage level and the high-current passing through the lines, pushing the distribution utilities to improve their profit margins on one hand by reducing the unnecessary operational cost, and improving their delivered power quality on the other hand by maintaining the system reliability, and the continuity of supply for varying load demand. Load balancing, voltage regulation, network reconfiguration and others are different techniques used to reduce the losses. This study addresses the distribution network reconfiguration to minimise the network losses. A new modified form of particle swarm optimisation (PSO) is used to identify the optimal configuration of distribution network effectively. The difference between the modified PSO (MPSO) algorithms and the typical one is the filtered random selective search space for initial position, which is proposed to accelerate the algorithm for reaching the optimum solution. The suggested MPSO is tested via 33 and 69 IEEE networks. A benchmark comparison has been conducted to prove the effectiveness of MPSO compared with previous optimisation techniques. 3 Networks description 3.1 33-Bus test distribution system The 33 IEEE network, 12.6 kV, as shown in Fig. 1, consists of 37 branches, 32 normally closed switches (sectionalising switches) and 5 normally open switches (tie line switches). Interactive power 24th International Conference & Exhibition on Electricity Distribution (CIRED)

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Distribution network reconfiguration in smart grid system using modified particle swarm optimization

Cited by 22 publications

References 28 publications

Making the World More Sustainable: Enabling Localized Energy Generation and Distribution on Decentralized Smart Grid Systems

Making the World More Sustainable: Enabling Localized Energy Generation and Distribution on Decentralized Smart Grid Systems

Business Model Innovation Approach for Commercializing Smart Grid Systems

Radial distribution network reconfiguration for power losses reduction using a modified particle swarm optimisation

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