List of Articles جستجوی گروهی

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  1 - Optimal placement of DG in an unbalanced network with two separate objectives using a new algorithm
  mojtaba jamiati
  In this paper, distributed generation (DG) resources are localized in an unbalanced network with two different objective functions using a new algorithm. For this purpose, cost and parametric objective functions will be formulated for this problem. A new technique has b More

  In this paper, distributed generation (DG) resources are localized in an unbalanced network with two different objective functions using a new algorithm. For this purpose, cost and parametric objective functions will be formulated for this problem. A new technique has been proposed to solve the problem of unbalanced load distribution. Group Search Engine Optimization (GSO) algorithm is one of the new particle intelligence techniques that in this paper, this algorithm has been improved and the results have been analyzed. The simulations will be performed on two real sample networks in northwestern Iran and the IEEE standard. Each target function will be tested on one of the networks. For each network, two placement scenarios are proposed: DG resource counting and determination of the number of DG units. In the case study process, the results of the proposed improved GSO algorithm are compared with the results of simple GSO algorithms and particle swarm optimization (PSO). Manuscript profile
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  2 - Optimal placement and sizing of distributed generations and capacitors for reliability improvement and power loss minimization in distribution networks
  Majid Salari Fariborz Haghighatdar Fesharaki
  Optimal placement and sizing of equipment in engineering systems is one of the most important and challenging practical problems. Installation of capacitors and distributed generations (DGs) in distribution systems has many benefits, such as improving the reliability as More

  Optimal placement and sizing of equipment in engineering systems is one of the most important and challenging practical problems. Installation of capacitors and distributed generations (DGs) in distribution systems has many benefits, such as improving the reliability as well as reducing the power loss, however, includes high investment costs. Hence, the maximum use of these benefits highly depends on choosing suitable locations for installation. In this paper, the Success Rate Group Search Algorithm (SRGSO) is used for optimal placement and sizing of DG sources and capacitor banks simultaneously in distributed systems. The used objective function includes costs of Expected interruption (ECOST), Energy Not Supplied (ENS), active power losses and DG and capacitor investment, operation and maintenance. To evaluate the effectiveness of the proposed algorithm in finding the optimal solution, various capacitor and DG placement scenarios are simulated on the IEEE 33-bus radial distribution test system. The simulation results show that the proposed method is more effective and has higher capability for solving the problem of capacitor and DG placement, compared to previously proposed methods. Using the proposed method in this paper, the value of active power losses as well as bus voltage profile are improved more than other investigated methods. Manuscript profile