Multi-objective unit commitment of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk. (May 2022)

• Record Type: Journal Article
• Authors: Fang, Yuchen; Zhao, Shuqiang; Chen, Zhe
• Is Part Of: International journal of electrical power & energy systems. Volume 137(2022)
• Publication Date: 2022-05
• Subjects: Concentrating solar power -- Peak-shaving -- Wind generation uncertainty -- Operational risk; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107754
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: The joint wind-CSP system is proposed to provide peak-shaving. The proposed model finds the best trade-off between peak-shaving effect and reliability. The Pareto set and the optimal solution are obtained by the Tchebycheff approach and the fuzzy entropy weight method. The cost-effective of CSP plant in reducing the operational risks and providing peak-shaving are quantified. Abstract: 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.