Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis

Abstract

In active distribution system (ADS), the access of distributed generation (DG) can effectively improve the power supply capacity (PSC). In order to explore the effect of DG on the PSC, the influence of accessed DG on the power supply of ADS has been studied based on generalized sensitivity analysis (SA). On the basis of deriving and obtaining the sensitivity of the evaluation indexes of the PSC to the parameters of connected DG, seeking for the DG access instruction for the purpose of improving the PSC, PSC evaluation model with inserted DG is established based on SA. The change degrees and trends of the PSC and its evaluation indexes caused by the slight increase of DG are calculated rapidly, which provides reference for the planning and operation of ADS. Finally, the feasibility and validity of the proposed theory are validated via IEEE 14-node case study.

Research on Evaluation of Power Supply Capability of Active Distribution Network with Distributed Power Supply with High Permeability

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Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics

“…(5) Use the penalty function of Equations (30)- (34) and handle the individuals with a lower fitness value by niche elimination. According to the hamming distance between the individuals, update the new fitness values of the population and arrange them in descending order; (6) Determine whether the number of iterations reaches the upper limit, if it is not satisfied, return to step (2), and if it is satisfied, then the iteration process is finished, and the non-inferior solution set will be output. (7) Calculate the degree of membership of non-inferior for each objective function according to Equation (40) as follows:…”

“…Energies 2017, 10, 2137 15 of 27 (6) Determine whether the number of iterations reaches the upper limit, if it is not satisfied, return to step (2), and if it is satisfied, then the iteration process is finished, and the non-inferior solution set will be output. …”