Showing papers in "International Journal of Electrical Power & Energy Systems in 2018"

TL;DR: A state-of-the-art survey of the most relevant cyber security studies in power systems and a demonstration is provided to show how the proposed defense systems can be deployed to protect a power grid against cyber intruders.

TL;DR: A new automatic autonomous vision-based power line inspection concept is proposed that uses Unmanned Aerial Vehicle (UAV) inspection as the main inspection method, optical images as the primary data source, and deep learning as the backbone of data analysis and inspection.

TL;DR: The modified Sine-Cosine algorithm (MSCA) aims at reducing the computational time with a sufficient improvement in finding the optimal solution and feasibility, which is validated with solving the OPF problem for a number of benchmark test systems.

TL;DR: The robustness of using UIO to detect and isolate sensor faults in power system is proved by several simulation scenarios and the simulation results show that isolation of faulty sensors can be guaranteed by proper selection of the measured variables in the state space model of the studied system.

TL;DR: Results reveal that the commercial building microgrid resilience is improved remarkably at a slight increase in the operational cost.

TL;DR: In this article, the authors provide an extensive analysis of the flexibility characteristics of 390k EV charging sessions and propose measures to quantize their flexibility exploitation, and propose an algorithm to quantitatively analyze how much flexibility is used at various times of a day, for two representative scenarios.

TL;DR: In this paper, authors used Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to minimize the objectives of MODEED problem simultaneously and it is clear from the results that the proposed combined model is able to give benefits to both utilities and generating companies.

TL;DR: In this article, the authors proposed a distributed algorithm with convergence assurance based on the alternating direction method of multipliers (ADMM) for minimizing the overall energy cost in a distribution network consisting of multiple MGs, with the practical operating constraints (e.g., power balance and the battery's operational constraints) explicitly incorporated.

TL;DR: A modified efficient variable step P&O (VSPO) algorithm is introduced as an attempt to solve the problem of maximum power point tracking under a rapidly changing insolation.

TL;DR: In this article, a particle swarm optimization (PSO) algorithm is employed to find the best location and sizing of wind, solar and fuel cell units in the distribution system to minimize the Total Harmonic Distortion (THD), the total power losses, the total cost of DG units (including investments, replacement, operation and maintenance costs) and greenhouse gas emissions.

TL;DR: As the penetration of electric vehicles (EVs) increases, their patterns of use need to be well understood for future system planning and operating purposes, and an uncertainty analysis on the network impact due to EV charging is undertaken.

TL;DR: Sensitivity analysis of SCA optimized FOPI-FOPID controller parameters obtained at nominal Disco Participation Matrix validate that they are healthy enough and need not be optimized for change in DPMs.

TL;DR: In this article, a new supervisory control and data acquisition-based two-stage voltage control scheme for the coordination of an OLTC transformer, capacitor banks (CBs) and the DGs is presented.

TL;DR: In the proposed algorithm, an elitist nondominated sorting method and a modified crowding-distance sorting method are introduced to acquire an evenly distributed Pareto Optimal Front to enhance the learning ability of population.

TL;DR: Based on the compensation of the distributed capacitive current, a novel differential protection scheme for HVDC transmission lines was proposed in this article, where voltage and current signals at both sides of the line are processed by the same low-pass filter the cutoff frequency of which is low enough, then the voltage distribution along the line can be regarded as linear distribution.

TL;DR: In this article, a nonlinear predictive controller is proposed for a variable speed wind turbine with a doubly fed induction generator controller coupled with a model predictive aeroturbine controller.

TL;DR: A new anomaly detection framework is put forward to evaluate consumers’ energy utilization behavior for identifying the localities of potential energy frauds and faulty meters and can successfully locate fraudulent consumers and discover faulty smart meters.

TL;DR: In this paper, a sliding mode control (SMC) scheme of doubly fed induction generator (DFIG) wind turbine with a novel exponential reaching law (NERL) is proposed.

TL;DR: The impact of customers’ participation level in Emergency Demand Response Program (EDRP) and the effect of illogical incentive values in implementing EDRP on the microgrid operation are represented and an overview to microgrid operator to select the optimum incentive value based on the situation is given.

TL;DR: In this article, an optimal planning approach is proposed based on 100% renewable energy system (RES) for a residential house, where the best combination of resources is chosen based on minimum energy supply cost and maximum reliability.

TL;DR: The proposed MONNDE algorithm has the added advantage of developing an approximation of the problem that can produce further Pareto fronts as the environment changes with no further optimisation needed, and is applied to the Dynamic Economic Emission Dispatch problem.

TL;DR: Simulation results show that the coordinated approach of DR and OLTC, especially, DR integrated with OLTC independent phase tap control effectively improves the network voltage and increases the PV hosting capacity.

TL;DR: This research analysed the stability of an IEEE 39 bus system with 30% V2G penetration after critical contingencies and showed that system stability remained almost invariable when the V2Gs included PFC (DR+IR) and DGS.

TL;DR: An innovative Hong’s 2m point estimate method (PEM) for simultaneously DR and reconfiguration scheduling with purpose to minimize the operating costs as well as to reinforce the reliability and resiliency of interconnected MGs in confronting with uncertainties is proposed.

TL;DR: The combined interval and deterministic optimization together and adopted the combined approach to solve a VPP’s dispatch problem and maximized VPPs’ profit intervals to manage uncertainties.

TL;DR: It is shown that for many forecasting methods, aggregating more customers improves the relative forecasting performance up to specific point, and beyond this point, no more improvement in relative performance can be obtained.

TL;DR: In this paper, the authors highlight some of the challenges in designing electricity markets brought about by changes in system designs and also discuss a number of lessons learned from market designs that have been implemented.

TL;DR: A distributed real-time algorithm is proposed to find the optimal energy management scheduling scheme for each user and utility company to maximize the social welfare and Simulation results are provided to demonstrate that the proposed distributed algorithm can bring potential benefits to the society.

TL;DR: In this paper, the authors presented a Smart EMS (SEMS) for application in a residential microgrid (MG) with high penetration of Distributed Energy Resources (DERs) including a combined cooling heating and power (CCHP) system.

TL;DR: Fault detection and location in a microgrid using mathematical morphology (MM) and recursive least-square (RLS) methods and simulation results depict that the proposed method provides faster fault detection and accurate fault location.