Online Reconfiguration Considering Variability Demand: Applications to Real Networks

López, E.; Opazo, H.; García, Luis Altarejos; Bastard, P.

doi:10.1109/tpwrs.2003.821447

Cited by 211 publications

(111 citation statements)

References 24 publications

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“…The population based heuristic algorithm is based on the law of gravity and mass interactions. The algorithm is comprised of collection of searcher agents that interact with each other through the gravity force [1]. The agents are considered as objects and their performance is measured by their masses.…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

“…Equation (1) shows that in the Newton law of gravity, the gravitational force between two objects is directly proportional to the product of their masses and inversely proportional to the square of the distance between the objects. While for Equation (2), Newton's second law shows that when a force, F, is applied to an object, its acceleration, a, depends on the force and its mass, M.…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

“…Network reconfiguration can also be used in planning studies, in order to determine the optimal configuration of the network during the overall planning procedure. Furthermore, online configuration management becomes an important part of distribution automation when remote controlled switches are employed [1]. Since a typical distribution system may have hundreds of switches, a combinatorial analysis of all possible options is not a practical proposition.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Network Reconfiguration For Loss Reduction Of A Radial Distribution System

Kottal¹,

Prakash²

2015

International Journal of Advanced Research in Computer and Comm

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By using network reconfiguration process many distribution system problems can be solved such as planning, energy restoration and loss minimization. This paper describes about loss reduction in a radial distribution system by doing network reconfiguration using new algorithm i.e. Gravitational Search Algorithm [GSA].GSA considers all the objectives in order to meet the reliability requirements. And because of this the processing time can be reduced also the quality of solution can be improved. The proposed approach has been applied to distribution test systems including IEEE 33 system.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

Section: Gravitational Search Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Reconfiguration For Loss Reduction Of A Radial Distribution System

Kottal¹,

Prakash²

2015

International Journal of Advanced Research in Computer and Comm

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“…Goswami and Basu introduced a power-flow-minimum heuristic algorithm for distribution feeder reconfiguration [10]. Vanderson Gomes et al proposed a heuristic strategy for reconfiguration of distribution systems [11].Lopez presented an approach for online reconfiguration [12]. Das proposed a fuzzy multi-objective approach to solve the network reconfiguration problem [13].…”

mentioning

confidence: 99%

Distribution System Network Reconfiguration by using Artificial Bee Colony Algorithm.

Kumar¹,

Babu²,

Lalitha³

2014

IOSRJEEE

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“…The demand of the system under the study is assumed to follow a 24-h daily commercial load curve [125] as shown in Figure 6.1. The time-varying commercial load model as defined in Section 3.2 is also considered in this work.…”

Section: Load and Generation Modelling 721 Load Modellingmentioning

confidence: 99%

Smart integration of distributed renewable generation and battery energy storage

Hung¹

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Renewable energy (i.e., biomass, wind and solar) and Battery Energy Storage (BES) are emerging as sustainable solutions for electricity generation. In the last decade, the smart grid has been introduced to accommodate high penetration of such renewable resources and make the power grid more efficient, reliable and resilient. The smart grid is formulated as a combination of power systems, telecommunication communication and information technology. As an integral part of the smart grid, a smart integration approach is presented in this thesis. The main idea behind the smart integration is locating, sizing and operating renewable-based Distributed Generation (DG) resources and associated BES units in distribution networks strategically by considering various technical, economical and environmental issues. Hence, the aim of the thesis is to develop methodologies for strategic planning and operations of high renewable DG penetration along with an efficient usage of BES units.The first contribution of the thesis is to present three alternative analytical expressions to identify the location, size and power factor of a single DG unit with a goal of minimising power losses. These expressions are easily adapted to accommodate different types of renewable DG units for minimizing energy losses by considering the time-varying demand and different operating conditions of DG units. Both dispatchable and nondispatchable renewable DG units are investigated in the study. Secondly, a methodology is also introduced in the thesis for the integration of multiple dispatchable biomass and nondispatchable wind units. The concept behind this methodology is that each nondispatchable wind unit is converted into a dispatchable source by adding a biomass unit with sufficient capacity to retain the energy loss at a minimum level. Thirdly, the thesis studies the determination of nondispatchable photovoltaic (PV) penetration into distribution systems while considering time-varying voltage-dependent load models and probabilistic generation. The system loads are classified as an industrial, commercial or residential type or a mix of them with different normalised daily patterns. The Beta probability density function model is used to describe the probabilistic nature of solar irradiance. An analytical expression is proposed to size a PV unit. This expression is based on the derivation of a multiobjective index (IMO) that is formulated as a combination of iii three indices, namely active power loss, reactive power loss and voltage deviation. The IMO is minimised in determining the optimal size and power factor of a PV unit. Fourthly, the thesis discusses the integration of PV and BES units considering optimal power dispatch. In this work, each nondispatchable PV unit is converted into a dispatchable source by adding a BES unit with sufficient capacity. An analytical expression is proposed to determine the optimal size and power factor of PV and BES units for reducing energy losses and enhancing voltage stability. A self-correction algorith...

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Online Reconfiguration Considering Variability Demand: Applications to Real Networks

Cited by 211 publications

References 24 publications

Network Reconfiguration For Loss Reduction Of A Radial Distribution System

Network Reconfiguration For Loss Reduction Of A Radial Distribution System

Distribution System Network Reconfiguration by using Artificial Bee Colony Algorithm.

Smart integration of distributed renewable generation and battery energy storage

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