Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Sun, Lei; You, Shi; Hu, Junjie; Wen, Fushuan

doi:10.1109/tsg.2016.2642163

Cited by 16 publications

(7 citation statements)

References 24 publications

(37 reference statements)

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“…Step 2. Initialization: Generate a population of size 'M' (flowers) for failure rate λ and repair time r each by relation (15), where each vector of respective population consists of failure rate and repair time of each component respectively. These values are obtained by sampling uniformly between lower , and , at each load point.…”

Section: Solution Methodology Using Fp Algorithmmentioning

confidence: 99%

“…Küfeoğlu and Lehtonen [14] have given a review summarizing the academic work done in the fields of worth of electric power reliability and customer interruption costs assessment techniques from the year 1990 to 2015. Lei Sun et al [15] presented a smart substation allocation model to determine the optimal number and allocation of smart substations in a given distribution system with the upgrade costs of substations and the interruption costs of customers taken into account considering reliability criterion. Sridhar and Prakash [16] have found optimal locations of distributed generations (DGs) considering cost of the power tariff and DG.…”

Section: Introductionmentioning

confidence: 99%

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Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions

Kela

Suthar²,

Arya

2019

IJEECS

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<p>In this paper, a methodology is proposed which shows enhancement of reliability by optimizing total reliability cost of electrical distribution systems. The total reliability cost consists of cost incurred by utility and customers both. An objective function in terms of failure rates and repair times i.e. primary reliability indices has been formulated which depicts both these costs . Hence, optimization of the objective function will give a balance between these costs with optimized values of primary reliability indices. This optimization has been done considering the constraints of achieving customer and energy based reliability indices below threshold/target values. The methodology has been applied on Roy Billinton Test System- Bus 2 (RBTS-2). The problem has been solved by applying Flower Pollination (FP) algorithm. A comparison has been made with the results obtained by Differential evolution (DE) algorithm also for the system considered.</p>

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Section: Solution Methodology Using Fp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions

Kela

Suthar²,

Arya

2019

IJEECS

View full text Add to dashboard Cite

show abstract

“…This new concept of energy consumption is classified as "Prosumer". Due to the flexibility and energy conservation in the distribution phase of electricity, a great interest of customers is observed in smart grid sharing [3]. In this vein, the Prosumer will have a crucial role in emerging SGs, organizing peak periods, energy consumption, and rationalization [4].…”

Section: Introductionmentioning

confidence: 99%

Distributed Peer-to-Peer Energy Trading in Virtual Microgrids: A Blockchain Survey for Future Smart Grid

Binyamin

Sami

2022

Preprint

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Due to the apparent demands and constraints faced by energy systems operating in the market world, the Prosumer Energy trade strategy was selected as a potential opportunity for research and industries. Energy trading has expanded due to the availability of dispersed energy sources and power users who produce more electricity than they would otherwise and can profitably export their excess fuel. The energy trading system blends energy from various sources and effectively coordinates it to ensure stable and optimal usage of available resources and better facilities for energy users. Peer-to-peer (P2P) energy trading is a joint research topic that involves various managerial and technical challenges. This paper provides an overview of peer-to-peer energy exchange and how blockchain can be used to increase transparency and overall performance, including the degree of decentralization, scalability, and device reliability. A thorough examination of the Prosumer Smart Grid environment is explored and clarified. The energy sharing mechanism among consumers comprises two major components: information/digital technology and optimization techniques. Three blockchain-based energy sharing models have been proposed to overcome technical and market barriers to adopt this revolutionary technology. The paper further discusses open topics and possible future paths for peer-to-peer blockchain-based energy sharing.

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“…This new approach to energy use is known as “Prosumer”. In [ 3 ], the authors stated that Prosumers have a considerable interest in SG as a result of the flexibility and energy efficiency of the electricity distribution phase. Indeed, the Prosumer will play a critical role in emerging SGs by coordinating peak periods, energy demand and optimization [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0

Zafar

Sami

2022

Sensors

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The Energy Internet (EI) and Smart Grid 2.0 (SG 2.0) concepts are potential challenges in industry and research. The purpose of SG 2.0 and EI is to automate innovative power grid operations. To move from Distribution Network Operators (DSO) to consumer-centric distributed power grid management, the blockchain and smart contracts are applicable. Blockchain technology and integrated SGs will present challenges, limiting the deployment of Distributed Energy Resources (DERs). This review looks at the decentralization of the Smart Grid 2.0 using blockchain technology. Energy trading has increased due to access to distributed energy sources and electricity producers who can financially export surplus fuels. The energy trading system successfully combines energy from multiple sources to ensure consistent and optimal use of available resources and better facilities for energy users. Peer-to-peer (P2P) energy trading is a common field of study that presents some administrative and technical difficulties. This article provides a general overview of P2P energy exchange. It discusses how blockchain can improve transparency and overall performance, including the degree of decentralization, scalability, and device reliability. The research is extended to examine unresolved issues and potential directions for P2P blockchain-based energy sharing in the future. In fact, this paper also demonstrates the importance of blockchain in future smart grid activities and its blockchain-based applications. The study also briefly examines the issues associated with blockchain integration, ensuring the decentralized, secure and scalable operation of autonomous electric grids in the future.

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Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Cited by 16 publications

References 24 publications

Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions

Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions

Distributed Peer-to-Peer Energy Trading in Virtual Microgrids: A Blockchain Survey for Future Smart Grid

Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0

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