Abstract
In this paper, multi-objective reactive power compensation based on optimal and simultaneous allocation of capacitors and distribution static compensator (DSTATCOM) in radial distribution networks based on fuzzy decision making is proposed with the aim of reducing power losses cost, reactive investment cost and reducing voltage deviations considering power loss reduction factor (PLRF) to identify candidate buses. Optimal location and size of reactive resources is determined based using multi-objective improved golden ratio optimization algorithm (MOIGROM) inspired by Fibonacci series and improved using nonlinearly inertia weight strategy. This method is performed on a 13 bus distribution network, 69 and 118 buses IEEE standard networks in various scenarios including capacitor allocation only, DSTATCOM allocation only and optimal and simultaneous capacitor and DSTATCOM allocation (hybrid allocation). The simulation results showed that the hybrid allocation has less power losses and voltage deviations in different scenarios using fuzzy decision making based on Pareto front set. Also the impact of different loading conditions on problem solution cleared that with increasing the load level, especially during the heavy load, the power losses and voltage deviations of the networks increase and vice versa. In addition, the advantage of the MOIGROM method over the other methods is confirmed.
Highlights
Part of the power system losses flow in the distribution grid is due to the reactive power, so by installing parallel capacitors in the network feeders, reactive power can be generated at the consumption site and reduce losses [1]
In this paper, new hybrid allocation of reactive sources consists of capacitor and DSTATCOM is implemented using the multi-objective improved golden ratio optimization method (MOIGROM) on the distribution network of 13 bus Khodabandehloo, 69 and 118 bus IEEE networks based on multi-objective optimization and fuzzy decision making
Candidate buses are first determined for capacitor and DSTATCOM installation using power loss reduction factor (PLRF) to reduce computation time and search space for each distribution network and optimal sitting and sizing of reactive resources are determined using the golden ratio optimization method
Summary
Part of the power system losses flow in the distribution grid is due to the reactive power, so by installing parallel capacitors in the network feeders, reactive power can be generated at the consumption site and reduce losses [1]. In [11], the optimal capacitor placement in the radial networks is proposed by cuckoo search algorithm for power losses minimization and voltage profile improvement as multi-objective optimization based on weighted coefficient method. In [20], the optimal allocation of DSTATCOM along with distributed generation in the networks using PSO is studied with the objective of power losses minimization and voltage profile improvement as multi objective optimization using weighted coefficient method. Optimal and simultaneous allocation of DSTATCOM and capacitors (hybrid allocation) is proposed with objective of reducing power losses cost, reactive investment cost and reducing voltage deviations as multiobjective optimization based on fuzzy decision making for 13 bus (Khodabandehloo for Iran), 69 and 118 bus IEEE radial distribution networks.
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