this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...

According to the European Directive 2009/28/EC 1 , renewable energy systems (RES) enjoy preferential treatment in the electricity grid in so far as the secure operation of the power system permits. However, there will be times when it is not possible to accommodate all priority dispatch generation such as variable renewable generation (VRG) sources like wind and solar while maintaining the safe...

Integration of wind power plants into the existing isolated system presents challenges to power system operators. The problem is further complicated to the generation dispatch imposed by the presence of wind turbine generators (WTGs), owned by independent power producers (IPP) with a large penetration of dispatchable wind energy sources. An evolutionary simulated annealing (ESA) algorithm combi...

The main objective of Economic Load Dispatch (ELD) problem is to schedule the connecting generating units of plant outputs, so as to fulfill load demands at minimum operating costs while satisfying all operational constraints. Economic Load Dispatch (ELD) is one of an important optimization tasks which provides an economic condition for power systems. Recently Particle Swarm Optimization (PSO) ...

At the central energy management center in a power system, the real time controls continuously track the load changes and endeavor to match the total power demand with total generation in such a manner that the operating cost is minimized while all the operating constraints are satisfied. However, due to the strict government regulations on environmental protection, operation at minimum cost is...

Ensuring a smooth electrical energy to the consumer has been identified as the main role of electric supply utility. The power utility needs to ensure that the electrical power is generated with minimum cost. Hence, for economic operation of the system, the total demand must be appropriately shared among the generating units with an objective to minimize the total generation cost for the system...

This paper presents a new constraint-handling genetic approach for solving the economic dispatch problem in electric power systems. A real code genetic algorithm is implemented to minimize the active power generation cost while satisfying power balance (energy conservation) and generation limit constraints simultaneously during the optimization process. This is achieved by introducing a novel s...

An efficient and optimum economic operation of electric power generation systems has always occupied an important position in the electric power industry. This involves allocation of the total load between the available generating units in such a way that the total cost of operation is kept at a minimum. In recent years this problem has taken a suitable twist as the public has become increasing...

This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence of two seeking operators in EMA provides a high ability in exploiting global optimum point. In order to show the capabilities ...