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JournalISSN: 1553-779X

International Journal of Emerging Electric Power Systems 

De Gruyter
About: International Journal of Emerging Electric Power Systems is an academic journal published by De Gruyter. The journal publishes majorly in the area(s): Computer science & Electric power system. It has an ISSN identifier of 1553-779X. Over the lifetime, 1013 publications have been published receiving 6195 citations.


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Journal ArticleDOI
TL;DR: An overview of important mathematical optimization and artificial intelligence techniques used in power optimization problems and applications of hybrid AI techniques are presented.
Abstract: Power systems optimization problems are very difficult to solve because power systems are very large, complex, geographically widely distributed and are influenced by many unexpected events. It is therefore necessary to employ most efficient optimization methods to take full advantages in simplifying the formulation and implementation of the problem. This article presents an overview of important mathematical optimization and artificial intelligence (AI) techniques used in power optimization problems. Applications of hybrid AI techniques have also been discussed in this article.

178 citations

Journal ArticleDOI
TL;DR: A method combining optimal power flow and genetic algorithms aims to meet this requirement in enabling Distribution Network Operators to search a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations.
Abstract: A range of techniques has been proposed to define the optimal locations and capacities of distributed generation (DG) as a means of ensuring that the maximum amount of DG can be connected to existing and future networks. However, there are limitations inherent in these methods, not least in finding the best combination of sites for connecting a predefined number of DGs. Here, a method combining optimal power flow and genetic algorithms aims to meet this requirement. Its use would be in enabling Distribution Network Operators to search a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations. Some applications of the proposed methodology confirmed its effectiveness in sitting and sizing an assigned number of DG units.

106 citations

Journal ArticleDOI
TL;DR: This paper compiles the most of the significant developments in the area of time-overcurrent relay coordination using different techniques and methodologies and hopes that this work will be useful for future generation researchers to find the relevant references to advance the research work in future.
Abstract: When two protective apparatus installed in series have characteristics, which provide a specified operating sequence, they are said to be coordinated or selective. The coordination of directional overcurrent relays poses serious problems in the modern complex power system networks, which are interconnected. Researchers have looked upon the problem of coordination from different considerations by making use of computer aids. Many efforts have been made to the automation of the coordination process in the area of relay coordination. This paper compiles the most of the significant developments in the area of time-overcurrent relay coordination using different techniques and methodologies. It is hoped that this work will be useful for future generation researchers to find the relevant references to advance the research work in future.

104 citations

Journal ArticleDOI
TL;DR: The present algorithm employs evolutionary programming technique in solving the dynamic economic emission dispatch problem and can offer a global or near-global noninferior solution for the decision-maker.
Abstract: Dynamic economic emission dispatch is an extension of the conventional economic emission dispatch problem that takes into consideration the ramp rate limits of the generators. Evolutionary programming based fuzzy satisfying method has been proposed to determine the optimal noninferior generation schedule. This paper treats economy and emission as competing objectives for optimal dispatch, which requires some form of conflict resolution to arrive at a solution. The multi-objective problem is configured as a minimax problem under the assumption that the decision-maker has fuzzy goals for each of the objective functions. The present algorithm employs evolutionary programming technique in solving this problem. The solution methodology can offer a global or near-global noninferior solution for the decision-maker. Numerical results of a sample test system have been presented to demonstrate the performance and applicability of the proposed method. Results obtained from the proposed method are compared to those obtained by fuzzy satisfying method based on simulated annealing technique.

65 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the placement and penetration level of the distributed generation under the standard market design (SMD) framework and illustrated the proposed approach by case studies on MATPOWER 30 bus and IEEE 118 bus systems.
Abstract: Distributed Generation (DG) can help in reducing the cost of electricity to the costumer, relieve network congestion and provide environmentally friendly energy close to load centers. Its capacity is also scalable and it provides voltage support at distribution level. Hence, DG placement and penetration level is an important problem for both the utility and DG owner. The cost of electricity as a commodity depends upon market model. The restructured power markets are slowly maturing with standardizations like Standard Market Design (SMD). The key feature of SMD is the Locational Marginal Pricing (LMP) scheme. This paper examines placement and penetration level of the DGs under the SMD framework. The proposed approach is illustrated by case studies on MATPOWER 30 bus and IEEE 118 bus systems.

61 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202349
202273
202195
202059
201966
201878