A piecewise-affine decision rule based stochastic AC optimal power flow approach

• Main Authors: Isuru, Mohasha, Foo, Eddy Yi Shyh, Gooi, Hoay Beng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering::Electric power; AC Optimal Power Flow; Piecewise-affine Decision Rule
• Online Access: https://hdl.handle.net/10356/150949
• Institution: Nanyang Technological University

This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenarios to capture the plausible uncertain realizations. The objective is to minimize the expected generation cost under those scenarios. A piecewise-affine decision rule is established with auxiliary control parameters to compute the optimal participation of generators depending on the amounts of reserve requirements. Such a reserve dispatch rule would be less conservative compared to the traditional affine decision rule. The results illustrate that the proposed piecewise-affine generation redispatch rule improves the optimality of operation via efficient resource utilization for reserve support.