The limitation of the existing generating capacity to meet the growing load demand creates the necessity for integrating Distributed Generations (DGs) with Capacitor Banks (CBs) in the distribution system. Placing DGs/CBs of proper size and in the appropriate location can effectively fulfill the load generation mismatch. In addition to this, it can also reduce active power loss and improve the load voltage profile. Hence, from an applicability point of view, it is of utmost importance to study the DGs/CBs and the effect of their sizes and locations on the distributed network. As an optimization problem, it is complicated to place DGs/CBs of optimal size at an optimal location to achieve the above-mentioned goal. It is a nonlinear optimization problem that needs a highly sophisticated algorithm that can handle nonlinearities as well as complex constraints. In view of the above, this chapter investigates the performance of a recently developed Equilibrium Optimizer (EO) algorithm for determining the optimal allocation and sizing of DGs and CBs in the radial distribution system to minimize the total real power loss and enhance the voltage profile. The proposed method is tested on standard IEEE 33-bus and IEEE 119-bus radial distributed test systems, and the results are presented and compared with different approaches available in the literature. The results show that the proposed method has performed better than the other methods in terms of the superiority of solutions.

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Optimal Utilization of Distributed Generations and Capacitor Banks in Distribution Systems Using Equilibrium Optimizer

  • Romio Atha,
  • Sourav Mallick

摘要

The limitation of the existing generating capacity to meet the growing load demand creates the necessity for integrating Distributed Generations (DGs) with Capacitor Banks (CBs) in the distribution system. Placing DGs/CBs of proper size and in the appropriate location can effectively fulfill the load generation mismatch. In addition to this, it can also reduce active power loss and improve the load voltage profile. Hence, from an applicability point of view, it is of utmost importance to study the DGs/CBs and the effect of their sizes and locations on the distributed network. As an optimization problem, it is complicated to place DGs/CBs of optimal size at an optimal location to achieve the above-mentioned goal. It is a nonlinear optimization problem that needs a highly sophisticated algorithm that can handle nonlinearities as well as complex constraints. In view of the above, this chapter investigates the performance of a recently developed Equilibrium Optimizer (EO) algorithm for determining the optimal allocation and sizing of DGs and CBs in the radial distribution system to minimize the total real power loss and enhance the voltage profile. The proposed method is tested on standard IEEE 33-bus and IEEE 119-bus radial distributed test systems, and the results are presented and compared with different approaches available in the literature. The results show that the proposed method has performed better than the other methods in terms of the superiority of solutions.