Showing papers in "Sustainable Energy, Grids and Networks in 2021"

TL;DR: The optimization problem has been solved using Differential Evolution (DE) and Harris Hawks Optimization (HHO) techniques and minimization of the land cost with maximum weightage to serve maximum EV with minimum establishment cost.

TL;DR: In this article, large-scale photovoltaic (PV) systems and electric vehicles (EVs) integrated in local distribution systems are considered to be two of the keys to a sustainable future built environment.

TL;DR: An improved energy hub consisting of different types of renewable energy-based DG units considering electricity and heating storage systems, which models the system’s operation and planning aspects and verified the efficiency of the proposed method in the optimal scheduling and planning of the energy hub system in the presence of stochastic renewable energy systems.

TL;DR: By adding an experience replay and a semi-deterministic training phase to the well-known asynchronous advantage actor-critic algorithm, the highest model performance as well as convergence to near-optimal policies are achieved.

TL;DR: A new Commercial Building Energy Management System (CBEMS) using IoT based Smart Compact Energy Meter (SCEM) is proposed to monitor and control the energy usage and power quality issues and Demand Side Management (DSM) for a commercial building in proposed using IoT.

TL;DR: In this article, the optimal scheduling model of the active distribution network (ADN) containing renewable energy sources (RESs) and flexible sources (FSs) such as non-RESs (NRESs), and electric vehicles (EVs) parking lot based on the adaptive robust optimization (ARO) is presented.

TL;DR: This paper quantitatively assesses the impact of large-scale BESSs on the frequency containment of low inertia power grid and compares the performance of grid-forming and grid-following control modes.

TL;DR: In this paper, the authors presented a developed security-constrained unit commitment (SCUC) problem for integrated power and NG networks in the presence of P2G, NG storage, and wind power resources.

TL;DR: In this paper, an optimal bidding strategy is presented for VPP to participate in energy and spinning reserve markets and it is confirmed that the BLSTM network outperformed the other methods and can forecast the stochastic parameters with only 3.53% errors in VPP profit.

TL;DR: In this paper, the authors presented a feasibility and reliability study of a 5MW FSPV power plant for long term power generation, which showed that the average performance ratio and the degradation rate was 71.58% and 1.18% respectively for the FSC module and 64.05% and 2.07% respectively, respectively for land-based PV system.

TL;DR: A multi-stage game model for FDIA is proposed based on attacker’s perspective, putting particular emphasis on data tampering, strategic adjustments, and multi-path attacks in a multi- stage game.

TL;DR: A novel mixed probabilistic-possibilistic scenario based approach (MPPSBA) is put forward to model the uncertainties associated with both the electrical and heat load demand and renewable distributed generator output.

TL;DR: A game-theoretical model based on a Stackelberg formulation is proposed to capture the interactions between the fleet operator and electric vehicle owners, avoiding the requirement of a price elasticity model for the EV clusters.

TL;DR: An integrated framework to increase the resiliency of distribution system is proposed as tri-level mixed integer optimization problem and column constraint generation algorithm is utilized to make them computationally obedient and implemented on well-known IEEE 33-bus and 69-bus systems to prove their effectiveness and applicability.

TL;DR: In this article, a new methodology was used to design a cost-effective and sustainable solution to provide a water irrigation system with a demand of 40 kWh/day, where a combined supply side management (SSM) and load shifting (LS) strategy was implemented.

TL;DR: Comparison of the three modelling approaches and a sensitivity analysis of the simulation results indicate that AC solution method provide an accurate computation of power losses and efficient optimal planning strategy as compared to the modified DC method.

TL;DR: A P2P energy trading model based on iterative double auction and blockchain, where buyers and sellers adjust quotes to better individual profits according to previous individual transaction volumes and the market equilibrium price, is proposed.

TL;DR: Results show integration of the EVs and V2G system in stochastic power supply (high RESs) improves the power grid’s efficiency in terms of decreasing the total cost and emission rate.

TL;DR: A MCDM approach integrating Pythagorean fuzzy sets in AHP–TOPSIS method combination was used to calculate the sustainability index and for ranking renewable energy technologies, hybrids and battery energy storage systems (BESSs) in Turkey.

TL;DR: A hierarchical control approach based on detailed AC OPF algorithm is developed to capture technical constraints relating to voltage, angle and power loss as well as obtaining accurate solutions of power exchange between MGs, while the routing of electric vehicles is incorporated into the model to reduce load shedding during extreme events.

TL;DR: A novel evolutionary algorithm namely modified exchange market algorithm (MEMA) is introduced to solve the various problems in the power system operation topics such as combined heat and power economic emission dispatch (CHPEED), and multi-area economic dispatch (MAED) in the presence of renewable energy sources (RESs).

TL;DR: As an approach for controlling the operation of the network, the suggested approach should supervise the contribution of DGs in incentives allocation which leads to meeting each network’s goals based on their contributions in the pricing approach.

TL;DR: A robust receding horizon recovery strategy that dispatches MPSs and forms multiple microgrids (MGs) to maximize the restored critical loads (CLs) and charging capability for re-chargeable MPSS is added to the proposed approach.

TL;DR: A three-stage SHA to enhance resiliency of distribution systems can efficiently restore maximum PLs via network reconfiguration (NR) without intentional islanding during blackout with multiple line faults in the system.

TL;DR: A self-learning particle swarm optimization (SLPSO) is applied to optimally tune the membership functions in the fuzzy logic system based on the multi-objective optimization problem, minimizing frequency deviation and impact on EV owner in terms of charging power deviation.

TL;DR: A novel battery capacity sizing methodology is proposed, which is more precise than previous methods, because it considers the effect of discharge duration on the capacity and voltage of the battery.

TL;DR: A novel approach for modeling the composite centralized and distributed generation expansion planning problem in the regulated power system and finds the optimal combination of generation expansion created by power plants and DG units to minimize the total costs for the decision-making period.

TL;DR: A performance improvement scheme for an autonomous AC microgrid in the presence of dispatchable and renewable units, and Plug-in Hybrid Electric vehicles has been proposed and the proposed algorithm is tested on a thirty-three bus autonomous microgrid and gives satisfactory results.

TL;DR: In this article, a method is proposed to determine the charging demand of future EV fleets in an office area and determine its flexibility potential, based on analysing real transaction data of 42 EVs charging for over a year at Utrecht Science Park, Netherlands, the considered case study.

TL;DR: In this paper, a robust delay dependent stability analysis of pitch control system of large wind turbines (LWTs) having communication time delay with fractional order PID controller is proposed, and a more robust control scheme is presented and analyzed with different operating conditions.