Robust economic/emission dispatch considering wind power uncertainties and flexible operation of carbon capture and storage

With increasing wind farm development, solutions of Economic/Emission Power Dispatch (EED) are becoming more difficult to meet the demand of both optimality and robustness because of wind power uncertainties. In this paper, a Robust Economic/Emission Dispatch (REED) model based on effective function is built to deal with wind power uncertainties and Latin hypercube sampling (LHS) method is employed to improve the calculation precision of effective function. As carbon capture and storage (CCS) plays an important role in reducing carbon emission, the impact of CCS, which operates in flexible mode, on EED problem is also investigated. Multi-objective bacterial colony chemotaxis (MOBCC) is adopted to solve the REED problem. Finally, tests of the proposed method are carried out in the IEEE 30-bus test system. Results demonstrate that the REED model can meet the demand of obtaining robust solutions in the presence of wind power uncertainties and flexible operation of CCS has the advantage of dealing with different carbon reduction index.