High penetration of renewable distributed generations is one of the most current challenges of electric distribution networks due to resources uncertainties, and hosting capacity limitation of the networks. The challenges may be more critical when uncertainties are highly correlated. The effect of correlated uncertainties of wind speed and load on the distributed generation hosting capacity of distribution networks is evaluated. A combination of point estimation method, and inverse Nataf transformation is proposed for correlated uncertainties modelling. The efficiency of some ANM schemes on the hosting capacity improvement is also studied in the presence of correlated uncertainties. To do so, an optimisation framework with the objective of maximising the installed capacity of distributed generation subject to network operational constraints such as voltage deviation is proposed. The proposed optimisation problem is formulated in a mixed‐integer quadratically constrained program form, and is solved via CPLEX solver. The proposed method is implemented on the 33‐bus standard test system. The results demonstrate the significant effect of the correlation between uncertainties on the distributed generation hosting capacity of network.
Followed by the extensive activation of demand side entities, the anti-competitive and monopolistic aspects of distribution system operator (DSO) is becoming more apparent. The business model of the DSO and its regulations are not capable enough to fully leverage the capacity of emerging technologies and responsive prosumers. This paper criticized the challenges/deficits revolving around the conventional DSO model and proposes an interactive platform based on the sharing economy business model at the network level. The electricity distribution stakeholders’ organization (EDSO) as the substitute of DSO in active distribution networks is developed based on the collaborative governance decision-making model. The EDSO has the privilege to legislate on the platform operation and its main policy is to preserve the public interest as well as the integrity of electric distribution system. The superiority of proposed operation model is its non-monopolistic and non-profit nature which materializes the perfect competition of active customers and guaranties their maximum utilization.
Dynamic voltage restorer (DVR) is a static Var compensator that plays an important role in voltage sag/swell compensation, especially during faults. This paper proposes a novel fuzzy logic based control structure to improve DVR performance. The proposed structure consists of two layers, namely, the lower or main layer and the upper or supervisor layer. The upper layer supervises and rectifies the main, when required. The numerical results show the superiority of the proposed control structure in comparison with the cases in which, classical methods (i.e. PI) or conventional fuzzy controller is employed.
This paper proposes an optimal fuzzy logic controller for dynamic voltage restorer (DVR). The DVR is modeled by three phase voltage source inverter (VSI).Simulation is based on zero-order Sugeno fuzzy logic controller and particle swarm optimization (PSO) technique is used to optimally adjust its parameters. The proposed controlling approach is employed to compensate different level of voltage sag. The simulation results show the satisfactory performance of proposed controlling approach.
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