Due to dramatically increased uncertainties caused by wind power (WP) integration and price responsive demand, economic dispatch (ED) in a day-ahead market faces new challenges. With the involvement of price responsive demand response (DR), independent system operator (ISO) has to adapt to the changes of both nodal prices and loads under different WP conditions. Moreover, here the changeable nodal prices are determined by both power generation and load not using a simple deterministic mathematical function. The robustness of dispatch strategies can be enhanced through proper demand side management. Motivated by these, we propose a novel active robust optimization dispatch (AROD) model in this paper. The proposed model amalgamates robust optimization (RO) with dynamic optimization (DO) to reveal the effects of price responsive DR, while considering all possible WP conditions. We present extensive numerical case studies on the modified IEEE 30-bus system and IEEE 118-bus system. Computational results demonstrate the effectiveness of the proposed AROD model for the secure and economic operation of the power system under various uncertainties in a day-ahead market. (C) 2016 Elsevier Ltd. All rights reserved.