Recurrent Neural Network for Nonconvex Economic Emission Dispatch

Deep Neural Network-Based Method for Economic Dispatch in Microgrid

Economic and Minimum Emission Dispatch

In this paper, Hopfield Neural Network (HNN) and Lagrange Multiplier (LM) solutions to economic dispatch (ED), NOx emission dispatch (EmD), and economic-emission dispatch (EED) of a sample system consisting of six thermal generators are presented. Transmission losses are included. The results of HNN are compared with the results of LM.

Emission Constrained Economic Dispatch for Hydrothermal Coordination

This paper presents an efficient emission constrained economic dispatch algorithm that deals with nonlinear cost function and constraints. It is then incorporated into the dynamic programming based hydrothermal coordination program. The program has been tested on a practical utility system having 32 thermal and 12 hydro generating units. Test results show that a slight increase in production co...

FGP Model for Emission - Economic Power Dispatch

Electricity generation is the process of generating electric power from natural energy sources. In early 1830s, the famous British scientist Michael Faraday discovered the fundamental principles of electricity generation. In most of the cases, electricity is generated from power plants by burning fossil-fuels: coal, oil and natural gas, which produce more pollutions than any other single indust...

Particle swarm optimization with crazy particles for nonconvex economic dispatch

The paper presents an effective evolutionarymethod for economic power dispatch. The idea is to allocate power demand to the on-line power generators in such amanner that the cost of operation isminimized. Conventional methods assume quadratic or piecewise quadratic cost curves of power generators but modern generating units have non-linearities which make this assumption inaccurate. Evolutionar...