Enhanced Kepler Optimization Method for Nonlinear Multi-Dimensional Optimal Power Flow

Axioms, Год журнала: 2024, Номер 13(7), С. 419 - 419

Опубликована: Июнь 21, 2024

Multi-Dimensional Optimal Power Flow (MDOPF) is a fundamental task in power systems engineering aimed at optimizing the operation of electrical networks while considering various constraints such as generation, transmission, and distribution. The mathematical model MDOPF involves formulating it non-linear, non-convex optimization problem minimizing specific objective functions adhering to equality inequality constraints. function typically includes terms representing Fuel Cost (FC), Entire Network Losses (ENL), Emissions (EE), encompass balance equations, generator operating limits, network constraints, line flow limits voltage limits. This paper presents an innovative Improved Kepler Optimization Technique (IKOT) for solving problems. IKOT builds upon traditional KOT incorporates enhanced local escaping mechanisms overcome optima traps improve convergence speed. algorithm defining population candidate solutions (individuals) represented vectors high-dimensional search space. Each individual corresponds potential solution problem, iteratively refines these converge towards optimal solution. key innovation lies its mechanisms, which enable explore space more effectively avoid premature suboptimal solutions. Experimental results on standard IEEE test demonstrate effectiveness proposed obtained FC, EE, ENL USD 41,666.963/h, 1.039 Ton/h, 9.087 MW, respectively, comparison with KOT, achieved 41,677.349/h, 1.048 11.277 respectively. In base scenario, reduction percentage 18.85%, 58.89%, 64.13%, three scenarios. consistently outperformed original other state-of-the-art metaheuristic algorithms quality, speed, robustness.

Язык: Английский

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A short-term wind power prediction method via self-adaptive adjacency matrix and spatiotemporal graph neural networks

Computers & Electrical Engineering, Год журнала: 2024, Номер 120, С. 109715 - 109715

Опубликована: Сен. 24, 2024

Язык: Английский

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Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration

Sensors, Год журнала: 2024, Номер 24(22), С. 7335 - 7335

Опубликована: Ноя. 17, 2024

To address the challenges of reduced grid stability and wind curtailment caused by high penetration energy, this paper proposes a demand response strategy that considers industrial loads energy storage under wind-power integration. Firstly, adjustable characteristics controllable resources in power system are analyzed, scheduling framework based on systems is established. Building foundation, multi-scenario stochastic programming approach employed to develop day-ahead intra-day multi-time-scale optimization model, aimed at maximizing economic benefits. In fluctuations with temporal resolution, for smoothing variability further proposed. Finally, simulations conducted derive optimal strategies different stages. As verified comparison strategies, proposed can reduce when there sufficient load shedding insufficient power, which effectively reduces operation cost.

Язык: Английский

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Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems

International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 164, С. 110365 - 110365

Опубликована: Ноя. 30, 2024

Язык: Английский

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Optimization design and heat performance analysis of a cylindrical wind-magnetic eddy current heater

International Journal of Thermal Sciences, Год журнала: 2024, Номер 210, С. 109606 - 109606

Опубликована: Дек. 4, 2024

Язык: Английский

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Effect of laminate channel width on the performance of MgAl-layered double hydroxide film-based nanogenerators driven by water evaporation

Materials Today Communications, Год журнала: 2024, Номер 42, С. 111245 - 111245

Опубликована: Дек. 9, 2024

Язык: Английский

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