Co‐optimising distribution network adequacy and security by simultaneous utilisation of network reconfiguration and distributed energy resources

Ahmadi, Seyed‐Alireza; Vahidinasab, Vahid; Ghazizadeh, Mohammad Sadegh; Mehran, Kamyar; Giaouris, Damian; Taylor, Phil

doi:10.1049/iet-gtd.2019.0824

Cited by 22 publications

(14 citation statements)

References 41 publications

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“…To perform network reconfiguration, graph theory is used [24]. Each network topology can be considered as a graph of G (N,E) in which the busses are its nodes N(G) and the lines are representing its edges E(G ).…”

Section: The Proposed Secure Reconfiguration Frameworkmentioning

confidence: 99%

“…In this case, multiple loops are formed. Then from each loop, one particular edge with a controllable switch should be selected to be removed by these constraints that (1) from each loop, at least one switch should be opened, and (2) a number of opened switches should be the same as the number of loops [24]. In this way, different network topologies or more precisely spanning trees are created.…”

Section: The Proposed Secure Reconfiguration Frameworkmentioning

confidence: 99%

“…Unfortunately, these techniques are not suitable for solving the complicated problem studied in this article. Therefore, similar to some researches [23, 24], a method based on Monte‐Carlo simulation is used instead. To do so, N stochastic independent vectors

(ξ_{1}, ξ_{1}, \dots, ξ_{N})

from the probability distribution function

φ (ξ)

should be generated.…”

Section: The Proposed Stochastic Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

A stochastic framework for secure reconfiguration of active distribution networks

Ahmadi

Vahidinasab

Ghazizadeh

et al. 2021

IET Generation Trans & Dist

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Automatic reconfiguration is one of the key actions in self-healing distribution networks. In these networks, after detecting and isolating the faulted portion, an automatic reconfiguration procedure is performed to restore the maximum possible affected loads without further interruptions during repair operations. This procedure becomes more complicated in the networks with integrated distributed generation units as they can bring security challenges for the reconfigured network after a fault event. To overcome these challenges, a stochastic framework is proposed here. In this framework, the reconfiguration procedure is conducted with a fast and reliable method which is based on the graph theory. Besides, the security challenges of utilizing distributed generations after an event are highlighted. Then, since a faulted network is more prone to subsequent faults, different actions of changing the distribution generations output power, preventing the insecure increment of short circuit capacity, and also considering the loadability improvement are proposed in the reconfiguration framework. Then in the final stage, the vulnerability of the distribution system to the uncertainties of load demand is resolved through a chance-constrained programming-based approach. To see the performance of the proposed stochastic framework, it is tested on a standard test system and the results prove its goodness and applicability for real distribution networks.

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Section: The Proposed Secure Reconfiguration Frameworkmentioning

confidence: 99%

Section: The Proposed Secure Reconfiguration Frameworkmentioning

confidence: 99%

(ξ_{1}, ξ_{1}, \dots, ξ_{N})

from the probability distribution function

φ (ξ)

should be generated.…”

Section: The Proposed Stochastic Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

A stochastic framework for secure reconfiguration of active distribution networks

Ahmadi

Vahidinasab

Ghazizadeh

et al. 2021

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several researchers employed heuristic algorithms despite their inherent randomness [120]. The numerous heuristic evolutionary algorithms have been introduced including Genetic [126], branch-exchange (BE) algorithm, etc. [133]- [142], [88], [143]- [147].…”

Section: Heuristic and Evolutionary Optimizationmentioning

confidence: 99%

Overview of Electric Energy Distribution Networks Expansion Planning

et al. 2020

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Planning of the electric distribution networks is complex and about upgrading the system to satisfy the demand and constraints with the best economic plan. The planning alternatives include the expansion of substations, installing new distributed generation (DG) facilities, upgrading distribution feeders, etc. In the modern networks, distribution planners must gain the confidence of the reversibility of the investment where renewable energy resources (RERs) inject clean and cost-effective electrical power to respond to the rising demand and satisfy environmental standards. This paper is an exhaustive review on the distribution network expansion planning (DEP) including the modelling of DEP (possible objective functions, problem constraints, different horizon time, and problem variables), optimization model (single/multi-objective), the expansion of distributed energy resources (DERs), problem uncertainties, etc. We discuss the requirements of integrated energy district master planning to avoid conflicts between the goal of independence of district planning on energy, e.g. heat and electricity, and that of dependencies on the local electric utilities regarding instant power balance and stability services. Finally, we describe the primary future R&D trends in the field of distribution network planning. INDEX TERMS Distribution expansion planning, distributed energy resources, multi-objective optimization, decomposition optimization, uncertainty handling.

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“…Nowadays, transmission networks are required to be ready for more flexible interchange transactions. This leads to the operation of the power system near its dynamic thermal limit [25]. In this condition, the dynamic analysis of the power system becomes more important.…”

Section: B Power System and Microgrid Dynamic Studiesmentioning

confidence: 99%

Smart Microgrid Educational Laboratory: An Integrated Electric and Communications Infrastructures Platform

et al. 2020

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Microgrids as the local area power systems are changing the power system landscape due to their potential of offering a viable solution for integrating renewable energy resources into the main grid. From the operational point of view, microgrids should have the appropriate power electronic interfaces, control schemes, as well as monitoring and automation infrastructures to provide the required flexibility and meet the related IEEE 1547 standard requirements. This paper describes some of the efforts made in the smart microgrid educational laboratory to provide these facilities and create a real-world conditions needed to conduct researches and teach the related courses. Laboratory works not only increase the practical skills of the students but also can motivate them to pursue theoretical courses with more passion. The introduced facilities are somehow unique for the integration of both electric and communication infrastructures which overcome the shortcomings of not considering data transfer challenges in the studies. Complete hardware design of power plant components, and incorporation of solar photovoltaic (PV) and two types of wind turbine generations are some of the efforts made to bring the real-world conditions in the laboratory. In the load-related side, dynamic behaviors of the various types of motors are modeled. To demonstrate some of the laboratory applications, some experimental studies have been carried out. The results show that this laboratory model is useful to provide insightful perspectives about the microgrid future.

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Co‐optimising distribution network adequacy and security by simultaneous utilisation of network reconfiguration and distributed energy resources

Abstract: Content may change prior to final publication in an issue of the journal. To cite the paper please use the doi provided on the Digital Library page.

Cited by 22 publications

References 41 publications

A stochastic framework for secure reconfiguration of active distribution networks

A stochastic framework for secure reconfiguration of active distribution networks

Overview of Electric Energy Distribution Networks Expansion Planning

Smart Microgrid Educational Laboratory: An Integrated Electric and Communications Infrastructures Platform

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