This paper introduces the “Energy-Environmental Efficiency” concept of building a low-carbon dispatch model of wind-incorporated power systems from the perspective of environmental protection and low-carbon dispatch promotion based on the existing economic environmental dispatch. A rolling auto-regressive and moving-average model is adopted to forecast wind speeds for the next 24 h and reduce t...

In the power system, economic dispatch is a popular and fundamental optimization problem. its classical form, this problem only considers thermal generators does not take into account network security constraints. However, other forms of problem, such as emission (EED), are becoming increasingly important due to emphasis on minimizing emissions for environmental purposes. The integration renewa...

The eminence of Economic Dispatch (ED) in power systems is significantly high as it involves scheduling the available from various plants with less cost by compensating equality and inequality constrictions. emission toxic gases leads to environmental imbalance so highly mandatory rectify this issues for obtaining optimal performance systems. In present study, Emission (EED) problems are resolv...

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...

Economic Load Dispatch (ELD) problem in power systems has been solved by various optimization methods in the recent years, for efficient and reliable power production. This paper introduces a solution to ELD problem using a new metaheuristic nature-inspired algorithm called Firefly Algorithm (FFA). The proposed approach has been applied to various test systems. The results proved the efficiency...

An efficient Particle Swarm Optimization (PSO) technique, employed to solve Economic Dispatch (ED) problems in power system is presented in this paper. With practical consideration, ED will have nonsmooth cost functions with equality and inequality constraints that makes the problem, a large-scale highly constrained nonlinear optimization problem.The proposed method expands the original PSO to ...

Recent advancements in artificial intelligence especially in evolutionary algorithms have enabled much efficient way to solve the constrained optimization problems in various fields of engineering. In this paper we explain the development of the optimization techniques from single criterion to multi criterion. We also address the Combined Economic and Emissions Dispatch (CEED) problem in therma...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...

Economic load dispatch (ELD) is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. There are three criteria in solving the economic load dispatch problem. They are minimizing the total generator operating cost, total emission cost and sched...