An optimal space–domain algorithm for economic dispatch control considering load uncertainty

Uncertainties with respect to different load characteristics and operating conditions have significant negative effects on the performance of economic dispatch control for the participation in automatic generation control. However, the uncertainties have been neglected in classical economic dispatch control. A low-carbon and economic dispatch problem considering a load uncertainty is formulated and solved as a non-linear constrained multi-objective model in this paper. The problem additionally takes into account the real power loss and system equilibrium. The multi-objective bacterial colony chemotaxis optimization algorithm is used to obtain Pareto solutions. In order to strengthen the practical low-carbon and economic dispatch problem, an adjustment strategy of the unit output in real time can be provided by a new technique termed the optimal coordinated operation space-domain. Finally, the model and algorithm have been implemented to the Institute of Electrical and Electronics Engineers 30-bus test system. The simulation and analysis results demonstrate that the model and algorithm can provide a scientific method for dealing with multi-objective decision problems in a power system.