Enhancing Wind Energy Potential Assessment with Three-Parameter Weibull Distribution: A Comparative Analysis using MATLAB

E3S Web of Conferences, Год журнала: 2024, Номер 529, С. 02009 - 02009

Опубликована: Янв. 1, 2024

To determine the wind energy potential, probability density function is typically used. For data distribution with modest speeds, this paper developed a three-parameter Weibull model. The factors were determined using maximal likelihood technique. world renowned, user-friendly programming language Matrix Laboratory (MATLAB) processes all that needs analysis. A comparison was made between 3-factor Weibull, 2-factor and Rayleigh through R2 root mean square error (RMSE). ECMWF Reanalysis v5 (ERA 5) reanalysis's hourly speeds are statistically represented by these three distributions. Due to its placement optimal RMSE, model achieves good results. parameters has of 0.9898, two 0.9886, 0.5162. root-mean-squared errors (RMSEs) for Rayleigh, 0.0082 0.0070, respectively.

Язык: Английский

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An integrated energy system day-ahead scheduling method based on an improved dynamic time warping algorithm

Frontiers in Energy Research, Год журнала: 2024, Номер 12

Опубликована: Апрель 9, 2024

With the construction and development of new energy system, integrated system (IES) has garnered significant attention as a crucial carrier in recent years. Therefore, to address scheduling challenges IES influenced by uncertainty source load mitigate conservatism schemes while enhancing clustering accuracy, method for day-ahead top-note is proposed. First, improving dynamic time warping (DTW) hierarchical wind, solar, data IES, typical scenarios are derived. Second, using interval model along with their coupled devices considering issue optimization, established undergoes affine processing. Finally, goal minimizing operating costs established, which solved CPLEX Solver INTLAB toolbox, all provided. Through comparative analysis calculation examples, it found that proposed this paper can enhance accuracy reduce schemes.

Язык: Английский

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Stochastic P2p-Based Energy Management Scheme for Integration of Ress in the Coupled Natural Gas and Power Networks Considering Networks Constraints and Demand Response

Опубликована: Янв. 1, 2024

Integrating renewable energy sources (RES) into power systems represents a pivotal shift towards sustainable and resilient future. By harnessing these sources, we can diversify generation, reduce dependency on fossil fuels, mitigate carbon footprint. However, this integration poses complex challenges due to the intermittent nature of renewables their variability. Given unpredictable RESs like wind, it remains crucial for flexible gas-powered plants maintain vital role in coupling natural gas electricity networks. Therefore, integrating operation grids proves advantageous. Also, power-to-gas (P2G) technology plays significant storing excess as hydrogen, paving way reliable grid. Furthermore, RESs' output demand predictions are always uncertain. The peer (P2P) trading facilitating seamless with grid by enabling direct transactions between producers consumers, thus promoting efficient utilization distribution clean energy. This paper addresses three concerns relating Initially, increase penetration (solar wind), present P2P trading-based approach local trading, which increases customers' benefits. deal balancing issues, integrated is considered transfer unpredictability network. To capture RESs, stochastic programming model considering both grids' constraints, response (DR), P2G technology. consider studied networks' uncertainties, 2000 random scenarios created. Next, scenario reduction method based Kantorovich distance applied. sensitivity analysis proposed investigate performance presented optimization model. framework implemented standard IEEE 33 bus test system 15-node numerical study results reveal that dramatically improved networks reduced total cost (e.g., 25% saving).

Язык: Английский

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Two-stage multi-objective distributionally robust operation optimization and benefits equalization of an off-grid type electric-hydrogen-ammonia-methanol coupling system

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121433 - 121433

Опубликована: Сен. 1, 2024

Язык: Английский

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Distributionally robust co-optimization of energy and reserve dispatch for integrated electricity-gas-heating systems

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 73, С. 104125 - 104125

Опубликована: Дек. 17, 2024

Язык: Английский

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