The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen (P2H) is a promising solution to balance demand in power grid, which excess converted into hydrogen via electrolysis stored for later use. In this study, an energy hub (EH) with both P2H facility (electrolyzer) gas-to-power (G2P) (hydrogen gas turbine) proposed accommodate high penetration power. EH modeled integrated security-constrained unit...

Power system resilience has become a critical topic in recent years because of the increasing trend extreme events and growing integration intermittent renewable energy sources. To enhance grid against high-impact, low-frequency events, two questions should be answered: how to quantify given incorporate quantification into power planning, operation, restoration. This paper develops new set quantitative metrics with clear physical interpretation comprehensively evaluate resilience. Using...

This letter proposes a multi-task deep reinforcement learning (DRL) approach for distribution system voltage regulation considering topology changes via PV smart inverter control. The key idea is to encode the as an additional state DRL and leverage scheme joint of all task control policies. Unlike other DRL-based methods, our robust different topologies. Comparison results on modified IEEE 123-node demonstrate enhanced robustness proposed method.

The proliferation of electric vehicles (EVs) offers additional opportunities for improving the ambient air quality and reducing associated health impacts. However, such could become unattainable if electricity charging EVs is mainly supplied by coal-fired units. This paper aims to enhance environmental benefits differentiating marginal impacts unit emissions at various times locations on pollutant concentration (AAPC) human conditions. proposed cost-effective approach will assign EV battery...

This paper considers the problem of placing a limited number measurements to improve estimation accuracy in distribution system state (DSSE). In systems, intermittent distributed energy resources and volatile loads will result wide variation operating conditions. The proposed measurement placement is decide optimal locations types be placed systems that minimize worst-case errors for DSSE over different Four indices error covariance matrix are chosen as criteria accuracy. formulated...

Distribution system state estimation (DSSE) is one of the vital components in next-generation distribution management which allows operators to monitor entire system's operating conditions. Due lack real-time measurements, DSSE has process measurements whose quality varies significantly across different sources, causes a convergence issue Gauss-Newton solver. In this paper, semidefinite programming (SDP) framework proposed reformulate problem into rankconstrained SDP problem. One challenge...

This paper introduces an efficient method for calculating the three-phase power flow in a loop-based microgrid. The proposed incorporates conventional Newton-Raphson (NR) iterative approach backward/forward sweep (BFS) algorithm distribution network analyses. Conventional compensation-based approaches are commonly used to account loop breakpoints (LBPs) and PV nodes. However, efficiency convergence of traditional solutions deteriorate as number loops nodes increases. In this paper, we...

This paper discusses several methods to improve commercial optimization solver performance on day-ahead security constrained unit commitment through warm start and lazy constraint settings. Data analytics is performed greatly the quality of initial solution setting. A distributed framework proposed take advantage diversity from prevalent solvers (GUROBI CPLEX) different strategies. systematic distribution profile based benchmarking method also proposed.

High penetrations of distributed photovoltaics (PV) could cause adverse grid impacts, such as voltage violations. The recent development in inverter technologies provides the opportunity to develop control systems realize effective PV governance, and thus, improve dynamic hosting capacity for distribution grids. In this article, a novel energy resource management system (DERMS) solution is proposed by adopting real-time optimal power flow approach coordinated inverters. eliminates dependence...

Robot path planning is a complicated problem which needs to balance many factors. In pathfinding, the robot has find shortest destination and avoid obstacles. Ant colony optimization heuristic algorithm excellent features in pathfinding. This paper proposed heterogeneous feature ant (HFACO) solve problem. method, two kinds of ants with different are designed influence convergence rate by controlling number them. We also applied some other novel strategies that enhance solving quality...

The winter sea ice over the Barents-Kara Sea (BKS) is reducing at an alarming rate, which impacts Arctic shipping routes and local ecosystems as well climate system across other regions. Consequently, it imperative to project ice-free state in this region adequately prepare for future change its impacts. However, most models from Coupled Model Intercomparison Project Phase 6 (CMIP6) show higher climatological values, weaker decreasing trends, lower interannual variabilities BKS concentration...

This paper proposes an online data-driven distributed energy resource management system (DERMS) for distribution optimal DER dispatch as well voltage regulation. The key innovation is to leverage the Local Sensitivity Factor (LSF) transforming control into a computationally efficient linear programming (LP) problem. By taking real-time measurements, estimation of LSF eliminates need accurate model full nodal load information, which difficult achieve in practice. A robust recursive least...

Hosting capacity is an indication of the amount solar photovoltaics (PV) that can be hosted in a distribution system without additional changes to infrastructure or oper-ations. This paper presents framework for estimating PV hosting at scale. First, we analyze computational, modeling and other key challenges performing relevant, large-scale simulations, provided along with experiences lessons learned. Then, develop two open-source Python-based software tools conduct repeatable analyses:...

Thermal power generation could exhibit a considerable level of fuel emissions with significant threat to human health. Due variations in weather and atmospheric conditions, the time, location, determine emissions' differentiating impacts on ambient air pollutant concentration (AAPC). The densely populated regions are more vulnerable changes AAPC because associated health can scale up log-linearly linearly affected population sizes. This paper proposes an approach evaluate proposed applies...

C BSS Penalty for failing to fulfill demand of BSSs [$].C delivery Routing cost the battery vehicles

State estimation (SE) is critical to modern power system control center and vulnerable cyber-attacks. In this paper, a SE algorithm based on random measurements selection, which inspired by the concept of moving target defense (MTD), developed prevent mitigate stealthy With proposed SE, library selected scenarios first generated offline given available network topology. During online operation, multiple weighted least square (WLS) SEs are processed in parallel with randomly picked from...

This paper proposes a distributed energy resource management system (DERMS) solution by developing new voltage sensitivity-enabled feedback optimization framework. The key idea is to adopt measurement scheme reformulate the original nonlinear into linear programming (LP) problem via perturb-and-observe-based sensitivity analysis. proposed eliminates dependence on load knowledge and can be implemented online thanks an efficient open-source solver for LP problems. Comparison results with other...

Abstract Based on observations and simplified, comprehensive atmospheric models, we investigate the impact of tropical Atlantic sea surface temperature (SST) West Antarctic ice concentration in austral winter (June–August) decadal time scales. The gradient SST anomaly (SSTA) associated with positive phase meridional mode (AMM) usually leads to cool anomalies over Peninsula (AP) a dipole-like distribution, growth Amundsen–Bellingshausen Sea loss Ross Sea. When AMM is phase, upward motion warm...