Abstract
The optimal allocation and sizing of distributed generation (DG) resources are important in installing these resources, to improve the technical parameters of the network, including the power losses, voltage profile, and short-circuit level, as well as to increase economic factors. In this paper, a new multi-criteria algorithm and objective function are proposed for the optimal sizing and allocation of renewable and non-renewable DG resources simultaneously. The proposed algorithm is implemented on 63/20 kV substations at 20 kV levels. In the proposed objective function, all important technical and economic factors as well as important constraints, such as penetration level of DGs and budget constraint, are considered in a way that all factors are assigned to monetary values. Moreover, a new mathematical formulation is introduced for the allocation of renewable DG resources to reduce run-time optimization. The genetic algorithm (GA) is employed in the proposed algorithm to minimize the objective function. For renewable DG resources, photovoltaic panels and wind turbines, and for non-renewable DG resources, gas turbines are considered. The 115 buses network of Bakhtar Regional Electric Company (BREC) in Iran is used to evaluate the performance of the proposed algorithm. The results demonstrate that the proposed algorithm improves technical factors efficiently and maximizes the profitability of the investment.
Highlights
Innovations in the technology and economic factors of distributed generation (DG) resources have increased the attention paid to DG resources
B1 is related to purchasing less active power from the transmission network, B2 is related to purchasing less reactive power from the transmission network, B3 is related to power loss reduction, B4 is related to improvement in voltage profile, B5 is related to deferring substation capacity development, and B6 is related to reliability improvement
A new multi-criteria algorithm was proposed for the optimal sizing and allocation of renewable and non-renewable DG resources simultaneously in 63/20 kV substations at 20 kV
Summary
Innovations in the technology and economic factors of distributed generation (DG) resources have increased the attention paid to DG resources. The algorithms proposed by [2] for siting and sizing DGs have considered loss reduction, voltage profile, and reliability improvements in transmission systems. Problems within the previous studies on sizing and siting of DG resources process can be classified into four major deficiencies: (1) ignoring some technical and economic parameters;. (2) not presenting any method to identify the optimal number of renewable and non-renewable DGs simultaneously; (3) weighting the siting and sizing parameters arbitrary and without providing sufficient reasons; (4) ignoring some of the most important constraints such as DG penetration in feeders and budget constraints. A new multi-criteria objective function (OF) and algorithm are proposed for the optimal sizing and allocation of both renewable and non-renewable DG resources connected to 63/20 kV substations at 20 kV levels. In order to prove the efficiency of the proposed algorithm, it is applied to the 115 bus network of BREC in Iran to optimize the objective function using the GA
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