Optimal resilience enhancement dispatch of a power system with multiple offshore wind farms considering uncertain typhoon parameters

• Published in: International journal of electrical power & energy systems 2023-11, Vol.153, p.109337, Article 109337
• Main Authors: Liang, Yutao, Lin, Shunjiang, Feng, Xiangyong, Liu, Mingbo, Su, Lei, Zhang, Binrui
• Format: Article
• Language: English
• Subjects: Distributionally robust chance constraint; Extreme typhoon event; Offshore wind farm; Optimal resilience enhancement dispatch; Power system resilience
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2023.109337

•A three-stage framework of optimal resilience enhancement dispatch is proposed to handle extreme typhoon events.•A distributionally robust chance constraint-based ORED model of a power system with multiple OWFs is established.•A model reformulation method is presented to solve the proposed bi-level model.•Results show the effectiveness of the proposed model in enhancing the power system resilience. With the increasing penetration of offshore wind power capacity into power systems, extreme typhoon events have been severely threatening the secure operation of a power system with multiple offshore wind farms (OWFs). To alleviate this problem, this paper proposes an optimal resilience enhancement dispatch (ORED) framework consisting of three stages: preventive control, emergency response, and rapid restoration. Combining the wind field model of typhoon and the probability distribution model of typhoon parameters, a Wasserstein distance-based ambiguity set (AS) is constructed for describing the uncertainty of typhoons. In addition, a distributionally robust chance constraint-based ORED (DRCC-ORED) model, which considers uncertain typhoon parameters, is established for a power system with multiple OWFs. A conditional value-at-risk (CVaR) approximation method is used to transform the DRCCs with random variables into linear constraints, and the expectation operation of the cost function under the worst probability distribution is reformulated. Further, the proposed bi-level DRCC-ORED model is transformed into a single-level mixed-integer second-order cone programming model, which can be efficiently solved by the commercial solver GUROBI. Case studies on the modified IEEE 39-bus system with an OWF and an actual provincial power system with four OWFs demonstrate the high effectiveness of the proposed model.