A decision support system is presented that addresses optimal unit dispatch and load allocation in a multi-unit hydroelectric plant. The concept behind the optimization approach is explained. Estimates of the improvements this system can provide over existing plant operational methodologies are provided. Actual use of this system has provided gains of over 2% in plant performance.

This work analyses the carbon dioxide (CO2) capture system operation within the Electric Reliability Council of Texas (ERCOT) and Great Britain (GB) electric grids using a previously developed first-order hourly electricity dispatch and pricing model. The grids are compared in their 2006 configuration with the addition of coal-based CO2 capture retrofits and emissions penalties from 0 to 100 US...

Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...

The Economic and Emission Dispatch (EED) method is widely used to optimize generator output in a power system. goal reduce fuel costs emissions, including carbon dioxide, sulphur nitrogen oxides, while maintaining balance adhering limit constraints. EED aims minimize emissions operating meeting demands. To solve the multi-objective problem, supply-demand optimization (SDO) algorithm proposed, w...

We consider the optimal economic dispatch of power generators in a smart electric grid for allocating power between generators to meet load requirements at a minimum total cost. The first algorithm presented, is a distributed algorithm for frequency control and optimal dispatch, where, each generator independently adjusts its power-frequency set-point to erase power imbalance and load fluctuati...

The dynamic economic dispatch (DED) problem is one of the complex constrained optimization problems that have nonlinear, con-convex and non-smooth objective functions. The purpose of the DED is to determine the optimal economic operation of the committed units while meeting the load demand. Associated to this constrained problem there exist highly nonlinear and non-convex practical constraints ...

This article focuses the application of Levy flight based PSO algorithm for the solution of micro grid power dispatch problems. The proposed algorithm is tested on micro grid dispatch problem consisting of wind, diesel and fuel cell plants. The effectiveness of the algorithm has been verified on a test system having distributed generation compared with the other existing techniques, considering...