A Model for Optimizing Spinning Reserve Requirement of Power System Under Low-Carbon Economy

Abstract

Spinning reserve (SR) capacity setting is an effective measure to ensure the reliability of power system operation. Traditional models for SR optimization are mainly concerned with the economic and security factors. In this paper, the concept of a low-carbon economy is introduced into the power system SR optimization while considering the emergence of low-carbon factors and their impact on the SR optimization under the condition of low-carbon economy, and then a model for optimizing SR requirement of power system is proposed under low-carbon economy. The proposed model integrates and formulates low-carbon factors such as the cost of low-carbon power technology, carbon trading cost, and the penalties for excess carbon emission and considers the constraint of the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="TeX">${\bf CO}_{\bf 2}$</tex-math></inline-formula> reduction targets, aiming to provide a more comprehensive evaluation method for SR requirement of power system under low-carbon economy. SR optimization based on the IEEE-RTS 96 system is studied by applying the proposed model and the results prove it to be more adaptable and effective for the sustainable development of future power systems.