Fault management in distribution systems lacks effective solution because of the unavailability of sufficient measurement data and comprehensive tools for fault analysis. To improve fault management, a systematic approach that takes advantage of distribution-level Smart Grid technologies is proposed. The new approach executes very accurate fault locating first, and then advices system operators...

In this paper, Invasive Weed Optimization (IWO) algorithm is used to find the optimum solution of Combined Economic Emission Dispatch (CEED) problem. The main objective is to minimize the fuel cost as well as emission level, while satisfying the power demand and associative operational constraints. The bi-objective problem is made to a single objective function using the price penalty factor. S...

The paper studies a new distributed control method to solve the economic dispatch problem (EDP) under directed topology based on consensus protocol. Electrical equipment is closely related frequency, and frequency of each generator varies independently during operation. Therefore, it hinders realization dispatch. To problem, we combine regulator with protocol, which eliminates effect variation ...

Bi-objective problem; Hydrothermal scheduling; Economic dispatch; Emission dispatch; Combined economic emission dispatch Abstract The short-term combined economic emission hydrothermal scheduling is a bi-objective problem minimizing both fuel cost and emission of a hydrothermal system while satisfying thermal, hydro and system constraints. In this paper, an efficient cuckoo bird-inspired meta-h...

Conventional transportation and electricity industries are considered as two major sources of greenhouse gases (GHGs) emission. Improvement of vehicle’s operational efficiency can be a partial solution but it is necessary to employ Plug-In Hybrid Electric Vehicles (PHEVs) and Renewable Energy Sources (RESs) in the network to slow the increasing rate of the GHGs emission. However, it is crucial ...

This paper presents a genetic algorithm based approach for solving the thermal generation dispatch with emission constraints. New encoding/decoding techniques are developed in the work. The chromosome contains only an encoding of the normalized system incremental cost. Therefore, the total number of bits of chromosome is entirely independent of the number of units. Moreover, the approach can ta...

This article argues that smart grid technologies enable policy‐makers and communities to successfully manage enduring energy policy concerns. It defines what ‘smart’ energy technologies, grids and policies mean, and then evaluates how the smart grid can enable policy‐makers to respond to an emerging energy ‘trilemma’. Drawing on case studies from the United States, the article suggests that the...

The restructured electric power industry has brought new challenges and concerns for the secured operation of stressed power systems. As renewable energy resources, distributed generation, and demand response become significant portions of overall generation resource mix, smarter or more intelligent system dispatch technology is needed to cope with new categories of uncertainty associated with ...

Since its emergence, smart grid has been given increasingly widespread attentions. Basically, smart grid combines a various modern technologies like network communication, information processing and distributed control to provide a more secure, reliable and intelligent grid, thus meeting the requirements of future social and economic development. As a new paradigm in the power grid, smart grid ...

The fundamental objective of economic load dispatch is to operate the available generating units such that needed demand satisfies lowest generation cost and also complies with various constraints. With proper power system operation planning using optimized limits, it possible reduce generation. To fulfill needs objectives, can help plan electrical system. optimize problems, classical new evolu...