Coordinated optimization of wind generation and pumped-storage plant by robust unit commitment

Abstract

Uncertainty in wind power generation poses significant challenges to the operation of power systems. To tackle these challenges, a robust unit commitment model minimizing the fuel cost of conventional generators in coordination of the pumped storage plants is established to accommodate stochastic wind power. Wind power output is defined by uncertainty set which contains the worst-case scenario of wind power fluctuations. Moreover, a re-dispatching strategy is proposed for other plants to compensate wind power deviations in real-time operation. Thus, the optimal solution could hedge against all possible realizations of uncertainties. By applying robust optimization techniques, the stochastic model is transformed into the deterministic counterpart which can be solved efficiently. Numerical results on Garver's 6-bus system demonstrate the economic and operational advantages of the proposed model. Moreover, the contribution of the pumped-storage plants and the effect of uncertainty budget are elaborated.