A Fully Decentralized Approach for Solving the Economic Dispatch Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@MastersThesis{Ghareeb:msc,
  author =       "Wael Taha {Ghareeb Elsayed}",
  title =        "A Fully Decentralized Approach for Solving the
                 Economic Dispatch Problem",
  school =       "Electrical and Computer Engineering, University of
                 Waterloo",
  year =         "2014",
  type =         "Master of Applied Science",
  address =      "Canada",
  month =        "14 " # aug,
  keywords =     "genetic algorithms, genetic programming, Non-convex
                 economic dispatch problem, Fully decentralised
                 approach, Multi-agent systems, Electrical and Computer
                 Engineering",
  URL =          "http://hdl.handle.net/10012/8631",
  abstract =     "A practical formulation of the economic dispatch
                 problem is based on treating the problem as a
                 non-convex optimisation problem in which the practical
                 non-convex cost functions are taken into consideration.
                 Formulating the economic dispatch problem as a
                 non-convex optimization problem and finding a better
                 quality solution to this problem has consumed a large
                 portion of the research for decades. Almost all
                 previously presented solutions to the non-convex
                 economic dispatch problem are centralised solutions.
                 Recently, as a result of current research directions
                 towards enabling the smart grid, a new research trend
                 has emerged. This new research trend is to solve the
                 economic dispatch problem using decentralised and
                 distributed mechanisms. Among these mechanisms, the
                 consensus on lambda approach is the best known
                 mechanism. A drawback of this approach is that it can
                 solve only the economic dispatch problem with convex
                 cost functions; in addition, it lacks the appropriate
                 mechanism for incorporating the transmission losses.
                 This thesis presents a new decentralized approach for
                 solving the economic dispatch problem. The proposed
                 approach consists of either two or three stages. In the
                 first stage, a flooding-based consensus algorithm is
                 proposed in order to achieve consensus among the agents
                 with respect to the units and system data. In the
                 second stage, a suitable algorithm is used for solving
                 the economic dispatch problem locally by each agent.
                 For cases in which a non-deterministic method is used
                 in the second stage, a third stage is applied to
                 achieve consensus on the final solution of the problem,
                 with a flooding-based consensus algorithm for sharing
                 the information required during this stage. The
                 required communication time by the proposed approach
                 has been approximated using JADE software. Four case
                 studies were examined for validation purposes. The
                 results show that the proposed approach is highly
                 effective for both solving the non-convex formulation
                 of the economic dispatch problem and incorporating
                 transmission losses accurately in a fully decentralised
                 manner. Moreover, the proposed approach can also be
                 applied with some adaptation to solve the economic
                 dispatch problem with convex cost functions; in this
                 case, it is very competitive to the consensus on lambda
                 approach.",
}

Genetic Programming entries for Wael Taha Ghareeb

Citations