To meet the practical demand of overall water splitting and regenerative metal-air batteries, highly efficient, low-cost, durable electrocatalysts for oxygen reduction reaction (ORR), evolution (OER), hydrogen (HER) are required to displace noble metal catalysts. In this work, a facile solid-state synthesis strategy is developed construct interfacial engineering W2 N/WC heterostructures, in which abundant interfaces formed. Under high temperature (800 °C), volatile CNx species from...

Sufficiently accurate short-term wind power prediction is important for the grid dispatch of system. To improve accuracy by selecting suitable model each piece processes, this paper presents a method based on multi-parameters similarity process matching and weighed-voting-based deep learning selection. First, novel presented to match forecast target sample with groups highly similar historical in which 96h-time-scale divided into multiple processes tumbling time window, combinational...

The inadequate hydrophobicity and the degradation in usage seriously hampered applications of existing antipollution flashover coatings. In this paper, a superhydrophobic polyurea coating with ability was fabricated through chemically grafting silica onto chains by utilizing silane coupling agent hydrophobic modification. It is demonstrated that exhibits outstanding performances. Noteworthy, surface pollution voltage has been increased 33.8% compared room temperature vulcanizing silicone...

The shortage of inertia and primary frequency response (IPFR) will be more severe in future power systems since conventional fossil-based synchronous generators are gradually being replaced by variable renewable energy (VRE) generators. To relieve the IPFR, corresponding market mechanisms should designed incorporated to motivate appropriate provision from various sources. mechanism IPFR different types its tight relation with production receive particular attention. This paper proposes a...

Abstract The large‐scale integration of renewable energy into new power systems presents significant challenges in terms controllability and predictability due to its inherent randomness volatility. uncontrollability is further compounded by the sudden impacts extreme weather events, making multi‐scale balance increasingly difficult. This paper proposes a two‐stage flexible dispatch method (TFDM) for measuring uncertainty under weather. model constructs probabilistic disaster impact...

Photovoltaic power generation as a green energy source is often used in systems, but the volatility of PV output and randomness problem affect stability power-grid supply; so, for low prediction accuracy photovoltaic under different weather conditions, this paper proposes Variational Mode Decomposition (VMD), combined with Complementary Ensemble Empirical Adaptive Noise (CEEMDAN) secondary decomposition method original signal decomposition, to reduce complexity feature mapping data, followed...

Novel amorphous/crystalline hetero-phase Ru clusters anchored on N-doped graphene nanosheets can be fabricated via a two-step synthetic strategy. The as-prepared Ru/N-G catalysts exhibit outstanding electrocatalytic performances for both ORR and HER.

Abstract Recently, molybdenum dioxide (MoO 2 ) has gained intensive attention as an eco‐friendly and earth abundant catalyst for electrocatalytic hydrogen evolution from water splitting. However, the catalytic activity of MoO reaction (HER) is severely limited by less exposed active sites. Herein, we present Co‐doped efficient HER through a facile wet chemistry synthesis followed calcination treatment process. The optimized Co‐MoO ‐0.01 nanorods (NRs) delivers very low overpotential 26 mV at...

Wind power prediction (WPP) is necessary to the safe operation and economic dispatch of systems. In order improve accuracy WPP, in this paper we propose a three-step model named SDAE-SVR-BA be applied short-term WPP based on stacked-denoising-autoencoder (SDAE) feature processing, bat algorithm (BA) optimization support vector regression (SVR). First, preprocessed original NWP data input into adapt training proposed model. Second, features SDAE network, whose parameters are optimized by BA...

This paper proposes a runoff-based hydroelectricity prediction method based on meteorological similar days and XGBoost model. Accurately predicting the supply demand is critical for conserving resources, ensuring power supply, mitigating impact of natural disasters. To achieve this, historical runoff data are analyzed to select that current data, forming day dataset. The model then trained used predict dataset obtain results. evaluate proposed method, cluster in Yunnan, China, as sample...

This paper formulates a short-term operation problem to determine the optimal quarter-hourly generation schedules of multiple hydropower reservoirs with pumped-storage plants. The model is comprehensive one that incorporates plant-based operating zones (PBOZ), upper and lower bounds on hydrowide power, hydraulic coupling, requirements for generating power releasing water fluctuation tolerance. A new procedure includes three key techniques makes easier solve. First, original temporally...

This paper deals with the optimization of short-term hydropower scheduling when a mathematically feasible solution cannot be achieved. Generally, numerical search procedure terminates detection infeasibility an problem is being solved. More often, however, operators reservoirs prefer violating mathematical constraints in order priority, such that satisfactory to real-world can always guaranteed. Previous studies rarely addressed this issue relation operations reservoirs. The present study...

The third-monthly (about 10 days in a time-step) hydropower scheduling, typically challenging nonlinear optimization, is one of the essential tasks power system with operational storage reservoirs. This work formulates problem into quadratic programming (QP), which solved successively, linearization updated on constraint firm yield from all cascaded Notably, generating discharge linearly concaved two planes, and output defined as function reservoir storage, release, discharge. application...

This paper presents a short-term hydropower scheduling model to determine the number of operating units and power in each quarter hour for hydroplant. A reservoir operation unit commitment problem are formulated solved using linear programming (LP) dynamic (DP), respectively. Two temporal scales coupled with other formulating problem, quarter-hourly hourly used water balances, The has its advantages adapting preferences shift engineers by prioritizing objective constraints, as well taking...