2023, 50(7):81-88.
DOI: 10.12177/emca.2023.069
Abstract:
The output of wind and solar power units is uncertain, which will affect the dispatching optimization of regional power grid. To solve this problem, a multi-source multi-objective scheduling optimization model including wind and solar power units is proposed. The objective function takes into account the economic operation cost and environmental treatment cost, and at the same time, the constraints such as reserve capacity and climbing ability increase. Considering the influence of weighting factors on the multi-objective optimization results, based on different load conditions, the multi-objective optimization weighting factors are dynamically selected, and the corresponding weighting factors under different load stages are obtained. The load is divided into three situations: base load, waist load and peak load. According to the fuzzy comprehensive evaluation method, the weighting factors of each middle load situation are dynamically determined, and four optimization schemes are proposed. In order to reduce the comprehensive cost, under the premise of considering various constraints, an improved particle swarm optimization algorithm was used to solve the model, obtains the comprehensive cost of four schemes in different periods, determines the scheduling optimization scheme. At the same time, the optimal strategy for unit output in the regional power grid during the operation period was obtained. Finally, the effectiveness of the proposed multi-objective scheduling optimization strategy based on dynamic weighting factors was verified by an example.