Modeling for Dynamic Economic Emission Dispatch Under Uncertainty

摘要

This article presents a new model to solve the dynamic economic emission dispatch problem incorporating uncertainties in the process of power generation. Besides the classic dynamic economic emission dispatch factors, the constraints of both reliability and efficiency are especially considered to restrain the disturbances of uncertainties. Accordingly, the penalty and reserve cost function together with the penalty and reserve emission function are added in the multi-objective function, respectively. To obtain some quantitative results, the characterizations of the different sources of uncertainty are discussed based on statistical theory, and this optimization problem is numerically solved by the improved particle swarm optimization algorithm. Eventually, the simulation results demonstrate that improving the level of reliability will increase the operation costs and emissions of the power system, while increasing the level of efficiency will decrease the operation costs and emissions of the power system. Furthermore, there seems to be no significant linear correlation among the economic and environmental costs and the proportion of wind power generation under the requirements of reliability and efficiency.