E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Future Grid"

Quicklinks

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (28 February 2011)

Special Issue Editor

Guest Editor
Prof. Dr. Randy H. Katz

RADLab, Room 465 Soda Hall #1776, University of California, Berkeley, Berkeley, CA 94720-1776, USA
Fax: +1 510 643 7352

Keywords

  • smart grid
  • energy networks
  • distributed generation
  • energy storage
  • demand response

Related Special Issue

Published Papers (8 papers)

View options order results:
result details:
Displaying articles 1-8
Export citation of selected articles as:

Research

Open AccessArticle Entropy-Based Bagging for Fault Prediction of Transformers Using Oil-Dissolved Gas Data
Energies 2011, 4(8), 1138-1147; doi:10.3390/en4081138
Received: 28 February 2011 / Revised: 21 July 2011 / Accepted: 1 August 2011 / Published: 4 August 2011
Cited by 1 | PDF Full-text (315 KB) | HTML Full-text | XML Full-text
Abstract
The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers faults. A parameter of comprehensive information entropy of [...] Read more.
The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers faults. A parameter of comprehensive information entropy of sample data is brought forward to improve the resampling process of the E-Bagging method. The generalization ability of the E-Bagging is enhanced significantly by the comprehensive information entropy. A total of sets of 1200 oil-dissolved gas data of transformers are used as examples of fault prediction. The comparisons between the E-Bagging and the traditional Bagging and individual prediction approaches are presented. The results show that the E-Bagging possesses higher accuracy and greater stability of prediction than the traditional Bagging and individual prediction approaches. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle Discussions on the Architecture and Operation Mode of Future Power Grids
Energies 2011, 4(7), 1025-1035; doi:10.3390/en4071025
Received: 3 March 2011 / Revised: 16 June 2011 / Accepted: 20 June 2011 / Published: 4 July 2011
Cited by 5 | PDF Full-text (169 KB) | HTML Full-text | XML Full-text
Abstract
The new energy revolution, of which the primary energy will be based on renewable energy sources and the terminal energy will be based on electric power, will have a revolutionary impact on the future power grids. In order to develop the corresponding [...] Read more.
The new energy revolution, of which the primary energy will be based on renewable energy sources and the terminal energy will be based on electric power, will have a revolutionary impact on the future power grids. In order to develop the corresponding power grid for the future energy system, first of all, the architecture and mode of operation of the future power grid must be investigated. In this paper, we suggest that the DC—dominant operation mode for transmission system, distribution network and distributed power system should be developed, and a MP-MC dominated transmission architecture (multiple powers to multiple consumers) and the two-way power exchange control (TPEC) should be employed to build “wide-area super virtual power plants” (WASVPPs) which cover all the major power plants in a wide range, allowing the consumers to obtain a stable and reliable supply of electricity from the “cloud powering” created by WASVPP and the distributed power system which is connected to the grid. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle AC Power Routing System in Home Based on Demand and Supply Utilizing Distributed Power Sources
Energies 2011, 4(5), 717-726; doi:10.3390/en4050717
Received: 28 February 2011 / Revised: 20 April 2011 / Accepted: 22 April 2011 / Published: 26 April 2011
Cited by 20 | PDF Full-text (605 KB) | HTML Full-text | XML Full-text
Abstract
To help reduce consumption of fossil fuels, renewable, natural and distributed power sources are being adopted. These alternative energy sources inevitably show fluctuations in the amount of output power, frequency, and voltage. The suppression of such fluctuations is a key issue to [...] Read more.
To help reduce consumption of fossil fuels, renewable, natural and distributed power sources are being adopted. These alternative energy sources inevitably show fluctuations in the amount of output power, frequency, and voltage. The suppression of such fluctuations is a key issue to avoid disturbances in power grids. A similar situation arises as far as the regulation of in-home power flow is concerned. We focus on the quality of supplied and demanded power in particular. In this paper, an in-home power distribution system based on information of power is proposed. The system is developed in order to integrate power dispatch and communication. The experimental results show the feasibility of new flexible and efficient power management approaches. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle Multiple Objective Compromised Method for Power Management in Virtual Power Plants
Energies 2011, 4(4), 700-716; doi:10.3390/en4040700
Received: 22 February 2011 / Revised: 6 April 2011 / Accepted: 18 April 2011 / Published: 21 April 2011
Cited by 4 | PDF Full-text (304 KB) | HTML Full-text | XML Full-text
Abstract
In practical optimization, a priority requirement for different objectives of multiple objective optimization problems should be considered. In this paper, the distributed power management of a Virtual Power Plant (VPP) with priority requirement is optimized by the compromised method. The operation optimization [...] Read more.
In practical optimization, a priority requirement for different objectives of multiple objective optimization problems should be considered. In this paper, the distributed power management of a Virtual Power Plant (VPP) with priority requirement is optimized by the compromised method. The operation optimization model of VPP is formulated as a fuzzy multiple objective optimization problem considering the satisfaction of customers and suppliers, the system stability, the power quality, and costs with operation limitations. The multiple objective optimization algorithm with the compromise of the satisfactory degree and the priority of objectives is studied based on the principle of two-step interactive satisfactory optimization. This method is also applied in a test system. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle Model for Predicting DC Flashover Voltage of Pre-Contaminated and Ice-Covered Long Insulator Strings under Low Air Pressure
Energies 2011, 4(4), 628-643; doi:10.3390/en4040628
Received: 28 February 2011 / Revised: 13 April 2011 / Accepted: 18 April 2011 / Published: 19 April 2011
Cited by 3 | PDF Full-text (301 KB) | HTML Full-text | XML Full-text
Abstract
In the current study, a multi-arc predicting model for DC critical flashover voltage of iced and pre-contaminated long insulator strings under low atmospheric pressure is developed. The model is composed of a series of different polarity surface arcs, icicle-icicle air gap arcs, [...] Read more.
In the current study, a multi-arc predicting model for DC critical flashover voltage of iced and pre-contaminated long insulator strings under low atmospheric pressure is developed. The model is composed of a series of different polarity surface arcs, icicle-icicle air gap arcs, and residual layer resistance. The calculation method of the residual resistance of the ice layer under DC multi-arc condition is established. To validate the model, 7-unit and 15-unit insulator strings were tested in a multi-function artificial climate chamber under the coexistent conditions of low air pressure, pollution, and icing. The test results showed that the values calculated by the model satisfactorily agreed with those experimentally measured, with the errors within the range of 10%, validating the rationality of the model. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle A Smart Online Over-Voltage Monitoring and Identification System
Energies 2011, 4(4), 599-615; doi:10.3390/en4040599
Received: 24 February 2011 / Revised: 6 April 2011 / Accepted: 15 April 2011 / Published: 18 April 2011
Cited by 11 | PDF Full-text (381 KB) | HTML Full-text | XML Full-text
Abstract
This paper proposes a complete and effective smart over-voltage monitoring and identification system. In recent years, smart grids are of the greatest interest in power system research. One of the main features of smart grid is their self-healing, which can continuously carry [...] Read more.
This paper proposes a complete and effective smart over-voltage monitoring and identification system. In recent years, smart grids are of the greatest interest in power system research. One of the main features of smart grid is their self-healing, which can continuously carry out online self-evaluation, discover existing faults, and correct them immediately. The over-voltage smart monitoring-identification-suppression systems play a key role in the construction of self-healing grids. In this paper, eight kinds of common over-voltage are discussed and analyzed. The S-transform algorithm is used to extract features of over-voltage. Aiming at the main features of each kind of over-voltage, six different characteristic quantities are proposed. A well designed fuzzy expert system and a support vector machine are employed as the classifiers to build a two-step identification model. The accuracy of the identification system is verified by field records. Results show that this system is feasible and promising for real applications. Full article
(This article belongs to the Special Issue Future Grid)
Open AccessArticle A Multiagent System for Autonomous Operation of Islanded Microgrids Based on a Power Market Environment
Energies 2010, 3(12), 1972-1990; doi:10.3390/en3121972
Received: 25 October 2010 / Revised: 8 December 2010 / Accepted: 16 December 2010 / Published: 20 December 2010
Cited by 36 | PDF Full-text (604 KB) | HTML Full-text | XML Full-text
Abstract
One of the most important requirements of microgrid operation is to maintain a constant frequency such as 50 Hz or 60 Hz, which is closely related to a power balance between supply and demand. In general, microgrids are connected to power grids [...] Read more.
One of the most important requirements of microgrid operation is to maintain a constant frequency such as 50 Hz or 60 Hz, which is closely related to a power balance between supply and demand. In general, microgrids are connected to power grids and surplus/shortage power of microgrids is traded with power grids. Since islanded microgrids are isolated from any power grids, the decrease in generation or load-shedding can be used to maintain the frequency when a power imbalance between supply and demand occurs. The power imbalance restricts the electricity use of consumers in the case of supply shortage and the power supply of suppliers in the case of supply surplus. Therefore, the islanded microgrid should be operated to reduce power imbalance conditions. Meanwhile, the microgrid is a small-scale power system and the employment of skillful operators for effective operation of its components requires high costs. Therefore, automatic operation of the components is effective realistically. In addition, the components are distributed in the microgrid and their operation should consider their owners’ profits. For these reasons, a multiagent system application can be a good alternative for microgrid operation. In this paper, we present a multiagent system for autonomous operation of the islanded microgrid on a power market environment. The proposed multiagent system is designed based on a cooperative operation scheme. We show the functionality and the feasibility of the proposed multiagent system through several tests. Full article
(This article belongs to the Special Issue Future Grid)
Figures

Open AccessArticle Hierarchical MAS Based Control Strategy for Microgrid
Energies 2010, 3(9), 1622-1638; doi:10.3390/en3091622
Received: 11 August 2010 / Accepted: 8 September 2010 / Published: 10 September 2010
Cited by 26 | PDF Full-text (801 KB) | HTML Full-text | XML Full-text
Abstract
Microgrids have become a hot topic driven by the dual pressures of environmental protection concerns and the energy crisis. In this paper, a challenge for the distributed control of a modern electric grid incorporating clusters of residential microgrids is elaborated and a [...] Read more.
Microgrids have become a hot topic driven by the dual pressures of environmental protection concerns and the energy crisis. In this paper, a challenge for the distributed control of a modern electric grid incorporating clusters of residential microgrids is elaborated and a hierarchical multi-agent system (MAS) is proposed as a solution. The issues of how to realize the hierarchical MAS and how to improve coordination and control strategies are discussed. Based on MATLAB and ZEUS platforms, bilateral switching between grid-connected mode and island mode is performed under control of the proposed MAS to enhance and support its effectiveness. Full article
(This article belongs to the Special Issue Future Grid)

Journal Contact

MDPI AG
Energies Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
energies@mdpi.com
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18
Editorial Board
Contact Details Submit to Energies
Back to Top