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Distributed renewable energy sources progressively gain importance in power systems, with which new challenges, but also new opportunities, arise. Therefore, it is necessary to analyze the interaction between this type of generators and the grid, and to study adequate control methods that allow small generating units to operate harmoniously within power systems and contribute to their control, stability,...
This paper presents a method of evaluating node voltages within distribution network using probabilistic load flow (PLF) analysis. It builds on the traditional deterministic load flow (DLF) approach which gives a picture of said network at one specific point in time. The probabilistic approach improves this by taking into account network uncertainties such as fluctuations in household consumption...
Traditionally, the optimal power flow (OPF) assumes a constant (active and reactive) power load model and thus it neglects the effect of the voltage sensitiveness of power load injections. As a consequence, the results from the OPF may be distorted and lead to suboptimal solutions. This paper proposes an optimal power flow, which seeks to minimize the total active power losses of a distribution network...
This paper proposes a new control algorithm for optimally reshaping distributed generation (DG) output impedance so that the system damping and bandwidth are maximized. Such impedance reshaping is essential for managing variations in grid impedance and changes in DG operating conditions. The proposed control algorithm involves two design stages. First, the multivariable DG output impedance is derived...
Electrical distribution systems are experiencing higher amount of distributed generation (DG), which originates from societal and environmental concerns, economical benefits of local generation, and more deregulated energy systems. While having numerous advantages, the presence of DG in the system is limited by several constraining factors. In this paper, in order to allow for higher hosting capacity...
The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework,...
This article presents the impacts of different storage technologies, their size as well as their location on the economic dispatch of a distribution system. The participation of the storage in distribution systems is evaluated over a period of 24 hours using a radial reconfiguration of the network. In order to meet this objective, a stochastic mixed integer linear problem (SMILP) is proposed, where...
This paper presents a new dynamic and stochastic decision supporting model for distributed generation investment planning (DGIP). The model is formulated as a mixed integer linear programming (MILP) optimization problem that simultaneously minimizes emission, operation and maintenance, as well as reliability costs. One of the salient features of the model is that it is based on a two-period planning...
Traditional distribution network pricing methodologies like long run incremental cost pricing (LRIC) offer location-specific signals to network users (generation/load) and charge them as per their contribution to network utilization. These methodologies consider maximum generation and load at the connection node that may not be coincident with distribution asset peak demand, thus failing to reflect...
In this paper, a real-time smart charging station (CS) for charging and discharging of electric vehicles (EVs) has been presented. The proposed CS is coupled with renewable energy sources to support and stabilize grid operations at all times. The main focus of this paper is to illustrate the interaction between various entities such as-CS, EVs, and renewable energy sources. EVs act as controllable...
This paper presents an extended impedance-based fault location formulation for unbalanced distributed generation systems. In recent years, distributed generation has become an efficient and economical alternative to produce energy. However, the high penetration of distributed generators changes the magnitude and direction of the fault currents affecting the accuracy of impedance-based fault location...
The Australian electricity industry is facing significant challenges, as recent electricity price rises and technological change have lead to changing demand patterns and high penetrations of distributed photovoltaics. Network tariff reform is underway in response to concerns about overinvestment in network infrastructure and cross-subsidies present in existing tariff structures. In this paper, residential...
The power flow in distribution grids is becoming more complicated as reverse power flows and undesired voltage rises might occur under particular circumstances due to integration of renewable energy sources, increasing the occurrence of critical bus voltages. To identify these critical feeders the observability of distribution systems has to be improved. To increase the situational awareness of the...
In this paper, in order to estimate the operational parameters of synchronous generator model suitable for unbalanced conditions, an approach which uses Trajectory Sensitivity Functions (TSF) and is based on Unscented Kalman Filter (UKF) is developed. In this framework, iniatilly, TSF are used to identify the parameters which most affect the behavior of the system. After the ordination of the parameters...
In view of the advance of dynamic wireless power transfer (DWPT) for electric vehicles (EVs) charging, integrated DWPT systems are conceivable to emerge. However, quasi-continuous and time-varying DWPT charging loads bring large challenges to the power flow analysis of integrated DWPT systems. In this paper, a sequential load model is proposed to describe the temporal dependency of DWPT charging demands...
This paper presents a novel networked microgrids (MGs)-aided approach for service restoration in a power distribution network. A mixed-integer linear program (MILP) is formulated with two objectives, i.e., maximizing the loads picked up and minimizing the restoration time, while satisfying the operation constraints of the distribution system and MGs. The interaction among MGs is modelled as a MILP...
In sub-Saharan Africa, the electrical infrastructure is growing at a rapid rate, mainly through the construction of new regional interconnectors and rural electrification. This growth is not sustainable without consideration of grid resilience. It is well known that the Mozambican network is in need of improved grid reliability. During periods of adverse weather and peak demand the grid does not cope...
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