Showing papers in "Sustainable Energy, Grids and Networks in 2016"

TL;DR: In this article, the authors investigate two newly developed stochastic models for time series prediction of energy consumption, namely, CRBM and Factored Conditional Restricted Boltzmann Machine (FCRBM).

TL;DR: In this paper, a model to investigate methods to increase BESS potential in providing primary control reserve (PCR) is presented, based on two different operating options: (i) variable-droop, meaning the droop-control is allowed to vary in time in order to avoid state of charge saturations and guarantee PCR availability; (ii) energy arbitrage, meaning that the battery is charged and discharged when economically favorable.

TL;DR: In this article, a data-driven control approach for building climate control is presented based on reinforcement learning, where the underlying sequential decision making problem is cast into a Markov decision problem, after which the control algorithm is detailed.

TL;DR: In this article, the problem of orchestrating the energy prosumers into virtual clusters, in order to participate in the market as a single entity and to reduce the total energy cost, through the reduction of the total relative forecasting inaccuracies, was studied.

TL;DR: In this paper, a modified droop control is proposed to improve transient response and stability margin of a system having different combinations of inverter and synchronous generator-based sources, and the results are validated with time domain simulations using Simulink/MATLAB.

TL;DR: In this article, a procedure for optimizing the electrical configuration of a PV array under a variety of operating conditions is presented, and the performance of the optimization system is evaluated for a different partial shading conditions using a SPICE circuit simulator.

TL;DR: In this article, an approach to interconnected MEGs generation scheduling with multiple fuel options is presented, which determines the optimal outputs of DERs on the basis of multi-objective genetic algorithm (GA) optimization compromising between the operational cost and emission of the entire interconnected micro energy system.

TL;DR: In this article, the authors presented a comprehensive framework for the assessment of reliability and risk implications of post-fault demand response (DR) to provide capacity release in smart distribution networks.

TL;DR: The applicability and effectiveness of the proposed agent based market model are exemplified using an IEEE 37 bus distribution feeder network with two grid connected smart microgrids simulated in Open DSS and the proposed multi-agent system is built on JADE framework.

TL;DR: In this article, two islanded micro-grids, when connected together, can support each other during contingencies, and some important strategies such as overload detection and excess power calculation are required for this type of interconnection.

TL;DR: The primary aim of the paper is to propose a suitable private hybrid cloud based SCADA architecture satisfying various necessities in the framework of interoperability of micro-grid platforms while maintaining security restriction conditions.

TL;DR: In this paper, the authors proposed a generic demand model which represents the aggregated effect of demand response (DR) in terms of a simplified market model of a future grid, which is intended specifically for modelling net demand by including the effect of DR in FG scenario studies.

TL;DR: In this paper, the authors investigated the impact of such integrations for enhancing the environmental sustainability, social sustainability, and economic operation of electric power systems, and concluded that the applications of renewable energy resources and the intelligent assimilation of EV fleets offer major potentials for alleviating power system peak demands, minimizing power grid operation costs and hourly wind energy curtailments, and limiting the environmental impacts of fossil fuel-based thermal generating units in the stochastic operation of an electricity infrastructure.

TL;DR: In this article, the authors presented three algorithms for scheduling PEVs charging by an aggregator under different conditions, such as single-stage decision making problem, single stage decision-making problem in case prices are not known in advance and PEVs are independent atomic loads, and then the problem is formulated as a multistage decision making to determine the optimum schedule in more realistic scenario.

TL;DR: In this paper, the authors assess frequency quality and associated DC power flows for several balancing arrangements, using a developed load-frequency control model with frequency interdependency for coupled power system, and conclude that power transfers over HVDC interconnections are limited and additional control optimisation can be performed.

TL;DR: In this article, the application of stochastic grey-box modelling to identify electrical power consumption-to-temperature models of a domestic freezer using experimental measurements is described, and a nonlinear model based on the reversed Carnot cycle is also presented and included in the modelling performance analysis.

TL;DR: In this paper, a hybrid voltage control scheme for LV distribution networks combining: (i) centralized control via the on-load tap-changer (OLTC) of secondary distribution transformers and (ii) localized control via both the real and reactive power management from single-phase PV inverters is proposed.

TL;DR: In this paper, a combination of stochastic weight tradeoff particle swarm optimization (SWT-PSO) and interval arithmetic (IA) is proposed to analyze the effects of interval uncertainties of nodal power injections (due to renewable energy sources (RES) and loads) on microgrid cost and power flow variables.

TL;DR: In this paper, the authors present a method for simply and easily estimating the maximum PV generation that can be integrated into low voltage feeders while avoiding excessive voltage levels, which can be easily implemented in standard spreadsheet software.

TL;DR: In this paper, an eigenanalysis-based small signal stability evaluation technique is used for an MG with a transforming structure, which is used as a decision-making process prior to a change in the MG.

TL;DR: In this paper, a distributed measurement system for the analysis of voltage dips is proposed, which is composed of a network of PQ meters on HV, MV and also on LV lines.

TL;DR: In this article, a solution based on wireless sensor networks and controllable loads is proposed for the mitigation of transient over voltage (TOV) in a distributed generation (DG) unit.

TL;DR: In this article, a proper placement of a UPQC is identified in an active distribution grid network to synchronize its functionality with the bidirectional power flow without compromising the power quality in the network.

TL;DR: In this paper, a broadcast-based unified control algorithm is proposed to provide ancillary services to the grid by a seamless control of heterogeneous energy resources such as distributed storage systems and demand-responsive loads.

TL;DR: In this paper, an N-version programming-based protection scheme has been proposed in order to cover the drawbacks of conventional protection schemes, an N -version software unit with N = 3 has been developed in MATLAB Simulink and all the agents in the developed multi-agent scheme have been equipped with this unit.

TL;DR: In this paper, an optimization scheme to control both voltage magnitudes and voltage unbalances of LV distribution grids, utilizing on-load tap-changer (OLTC) distribution transformers, photovoltaic (PV) inverters, and batteries, is proposed.

TL;DR: In this article, the authors proposed a recursive function that can be used in practical algorithms for planning of smart distribution networks, which can emulate business-as-usual planning practices and further optimize them, including DR options as potential substitutes for network reinforcement.

TL;DR: In this article, an adaptive droop control method based on local measurements, which achieves a power sharing with reduced power losses within the islanded microgrid, is proposed, where the droop coefficients are adjusted by calculating the microgrid impedance sensed by each DER.

TL;DR: In this paper, a new finite time backstepping sliding mode control (FTBFSMC) is proposed for photovoltaic (PV) based grid interactive voltage source converter (VSC) system.

TL;DR: In the proposed dedicated search teaching learning based optimization (DSTLBO), new learning approaches are suggested to enhance convergence, accuracy and efficiency of the standard TLBO.