A Robust Economic Region Considering Load Uncertainty for Security and Economic Operation Optimization in Power Systems

Random errors are unavoidable in the security and economic operation (SEO) optimization of power systems due to load uncertainties, such as load forecasting deviations and random load fluctuations. Meanwhile, strictly adjusting the real power outputs of units with a given decision solution of the SEO model is difficult to achieve by decision makers in practice. In this paper, the robust optimization (RO) model is formulated by combining load forecasting deviations and the base model, which adopts the comprehensive cost and system equilibrium (SE) as objectives. Based on the proposed RO model, the economic region considering load uncertainty (ERCLU) concept is illustrated, and applied to solve the load forecasting deviation problem and provide the practical optimization reference for decision makers. Moreover, the adjustment strategy is given for the real power outputs of units out of the ERCLU. Finally, the proposed model and method have been implemented on the IEEE 30-bus test system. (C) 2016 The Authors. Published by Elsevier Ltd.