Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm DOI Creative Commons
Dawei Wang, Bo Gao, Lei Zhang

и другие.

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 30, 2025

ABSTRACT Optimization scheduling plays a pivotal role in construction projects, significantly influencing both the overall project schedule and its efficiency. This study focuses on optimizing of electric highway engineering projects within roadbed construction. The research considers multiple earthmoving processes optimizes working time each piece equipment, taking into account capacity speed limited week. is further contextualized by use regional time‐of‐use (TOU) electricity pricing. A sophisticated optimization model developed to simulate optimal machinery operation, striking balance between energy consumption work paper introduces an innovative algorithm, improved crested porcupine optimizer (ICPO), which incorporates Latin hypercube sampling for population initialization. To enhance algorithmic effectiveness, combined strategy parallel compact processing employed. approach reduces number iterations required consequently lowers consumption. Rigorous analysis comparison with existing algorithms demonstrate that ICPO iteration count financial expenditure. Simulation results validate accuracy practicality proposed showing reduction over 7%

Язык: Английский

Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm DOI Creative Commons
Dawei Wang, Bo Gao, Lei Zhang

и другие.

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 30, 2025

ABSTRACT Optimization scheduling plays a pivotal role in construction projects, significantly influencing both the overall project schedule and its efficiency. This study focuses on optimizing of electric highway engineering projects within roadbed construction. The research considers multiple earthmoving processes optimizes working time each piece equipment, taking into account capacity speed limited week. is further contextualized by use regional time‐of‐use (TOU) electricity pricing. A sophisticated optimization model developed to simulate optimal machinery operation, striking balance between energy consumption work paper introduces an innovative algorithm, improved crested porcupine optimizer (ICPO), which incorporates Latin hypercube sampling for population initialization. To enhance algorithmic effectiveness, combined strategy parallel compact processing employed. approach reduces number iterations required consequently lowers consumption. Rigorous analysis comparison with existing algorithms demonstrate that ICPO iteration count financial expenditure. Simulation results validate accuracy practicality proposed showing reduction over 7%

Язык: Английский

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