Multi-objective unit commitment of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk

The large-scale integration of intermittent and uncertain renewable energy poses challenges for power system scheduling, especially for peak-shaving. In this paper, a multi-objective unit commitment model of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk (RMUC) is proposed. A concentrating solar power (CSP) plant is employed to improve renewable energy consumption and compensate wind power fluctuations. Firstly, an operational risk model under renewable energy integration with intermittency is constructed to quantify risks of wind curtailment and load shedding. Then, a novel RMUC model is established by incorporating operational risk into the unit commitment (UC) model, which can optimally allocate operational flexibility of power systems over spatial and temporal domains to reduce operational risk. The proposed model can co-optimize the uncertainty level and the peak-shaving operation, which is able to obtain an optimal trade-off between peak-shaving effect and reliability. Finally, the proposed model is applied on an IEEE six-bus test system and on a simplified real power system for verification, and the cost-effectiveness of the CSP plant in reducing the operational risk and providing peak-shaving is quantified.

Automated summary

This paper proposes a multi-objective unit commitment model for peak-shaving by jointly utilizing a concentrating solar power plant and a wind farm, considering operational risk. The model incorporates the operational risk into the unit commitment model and optimizes the operational flexibility of power systems to reduce risk. The proposed model co-optimizes uncertainty level and peak-shaving operation, achieving an optimal balance between peak-shaving effect and reliability.