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Multi-objective optimization of thermal dispatch scheduling considering different complementary load levels
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DOI：10.1016/j.seta.2024.103909.png)
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Abstract
En 中文
This paper presents a multi-objective optimization model for short-term scheduling of thermal energy dispatch, considering the Thermal Power Plants (TPP) generation capacity constraints while aiming to minimize costs by applying the Non-dominated Sorting Genetic Algorithm-III (NSGA-III). To achieve this, a new method is devised to adapt the base energy data to reduce the complementary load ramp, all while staying within the bounds of flexible thermal power limits. The complementation of thermal energy is carried out using the NSGA-III to obtain the best schemes of the thermal dispatch scheduling, considering the load levels of base, intermediary, and peak. These schemes are determined considering generation capacity limits and the goal of minimizing costs. In addition, it is introduced an upper limit for reserve energy to address emergencies. Subsequently, thermal dispatch is simulated by selecting the lowest cost scheme, considering the full meet the system's complementary load. The proposed model reduces the TPPs idleness and maximizes the thermal dispatch of renewable energy sources, being in this study 51.61% of the potential dispatched against 48.39% of non-renewables, considering that the system test has only 1/3 of the renewable thermal potential. The developed model also holds the potential for aiding integrated energy system planning studies.
Keywords:
Multi-objective optimization
Complementary scheduling
Optimal dispatch
Economic dispatch
Renewable energy
Journal
IF:
7
Papers:
4.4K
Citations:
2.2W