The Study of Scheduling Optimization for Multi-Microgrid Systems Based on an Improved Differential Algorithm

Electronics, Год журнала: 2024, Номер 13(22), С. 4517 - 4517

Опубликована: Ноя. 18, 2024

As traditional power grids are unable to meet growing demand, extensive research on multi-microgrid scheduling has begun address the issues present in conventional grids. However, existing studies of grid-connected multi-microgrids still lack sufficient focus system demand-side and interaction-side aspects. At same time, uncertainties renewable energy responses further complicate this research. To this, paper proposes an operational strategy based improved differential evolution algorithm, aiming incorporate interactions between microgrids, responses, energy, thus enhancing reliability economic efficiency systems. The is divided into following steps: (1) constructing a model primarily energy; (2) formulating optimization with objective minimizing costs while ensuring stable operation solving it; (3) proposing algorithm for optimizing scheduling; (4) testing validating algorithm; (5) designing that accounts load demand. Through application real-world cases, feasibility effectiveness verified.

Язык: Английский

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Reinforcement Learning-Enhanced Genetic Algorithm for Wind Farm Layout Optimization

Опубликована: Янв. 1, 2024

Язык: Английский

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Wind Farm Layout Optimization Subject to Cable Cost, Hub Height, and a Feasible 3D Gaussian Wake Model Implementation

Journal of Energy and Power Technology, Год журнала: 2024, Номер 06(01), С. 1 - 37

Опубликована: Март 15, 2024

We address the Wind Farm Layout Optimization (WFLO) problem and tackle optimal placement of several turbines within a specific (wind farm) area by incorporating additional aspects an economically driven target function. With this, we contribute three refinements for WFLO research: First, while many research contributions optimize turbines’ locations subject to maximum energy production or efficiency, instead pursue strategy maximizing profit objective. This enables us incorporate inner-farm wiring costs (underground cable installation). For explore impact using MSTs (Minimum Spanning Trees) adding junction (so-called “Steiner”) points terrain plane. Second, most focuses on finding x y coordinates (i.e., two-dimensional turbine placement), also hub heights z. Third, provide software implementation Gaussian wake model. The latter finds entrance open-source framework that comes as package <strong>wflo</strong> statistical R. find taking cost into account may lead very different placements, however, increasing overall significantly. Allowing optimizer vary have ambiguous wind farm profit.

Язык: Английский

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A Novel Frame-Rotating Wind Farm Layout Design Method

Опубликована: Янв. 1, 2024

Язык: Английский

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A power generation accumulation-based adaptive chaotic differential evolution algorithm for wind turbine placement problems

Electronic Research Archive, Год журнала: 2024, Номер 32(7), С. 4659 - 4683

Опубликована: Янв. 1, 2024

<p>The focus on clean energy has significantly increased in recent years, emphasizing eco-friendly sources like solar, wind, hydropower, geothermal, and biomass energy. Among these, wind energy, utilizing the kinetic from is distinguished by its economic competitiveness environmental benefits, offering scalability minimal operational emissions. It requires strategic turbine placement within farms to maximize conversion efficiency, a complex task involving analysis of patterns, spacing, technology. This traditionally been tackled meta-heuristic algorithms, which face challenges balancing local exploitation with global exploration integrating problem-specific knowledge into search mechanism. To address these challenges, an innovative power generation accumulation-based adaptive chaotic differential evolution algorithm (ACDE) proposed, enhancing conventional approach adjustment strategy based tournament selection. aimed prioritize energy-efficient positions improve population diversity, thereby overcoming limitations existing algorithms. Comprehensive experiments varying rose configurations demonstrated ACDE's superior performance showcasing potential optimizing for enhanced production. The farm layout optimization competition hosted Genetic Evolutionary Computation Conference provided comprehensive set layouts. dataset was utilized further validate results unequivocally demonstrate superiority ACDE when tackling problems.</p>

Язык: Английский

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An Interior Illuminance Prediction Model Based on Differential Evolution-Gaussian Fitting

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 255 - 269

Опубликована: Сен. 21, 2024

Язык: Английский

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Wind Farm Layout Optimization/Expansion of Real Wind Turbines with a Parallel Collaborative Multi-Objective Optimization Algorithm

Energies, Год журнала: 2024, Номер 17(22), С. 5632 - 5632

Опубликована: Ноя. 11, 2024

The objective of this paper is to study the Wind Farm Layout Optimization/expansion problem. This problem formulated here as a Multi-Objective Optimization Problem considering total power output and net efficiency Farms objectives along with specific constraints. Once formulated, needs be solved efficiently. For that, new approach based on combination five algorithms, which named Parallel Collaborative Algorithm, developed implemented. technique checked seven test cases; for each case, goal find set optimal solutions called Pareto Front, can exploited later. acquired were compared other approaches proposed was found better one. Finally, work concludes that gives, in single run, from designer/planner select best layout designed using expertise applying technical economic

Язык: Английский

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Exact formulation and two-stage optimisation method for corridor allocation problem consider separated man-vehicle logistics passage in manufacturing workshops

Computers & Industrial Engineering, Год журнала: 2024, Номер unknown, С. 110738 - 110738

Опубликована: Ноя. 1, 2024

Язык: Английский

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A novel differential evolution method with a hierarchical decoder for the photovoltaic layout optimization problem

International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 164, С. 110397 - 110397

Опубликована: Дек. 7, 2024

Язык: Английский

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