Ant Colony Search Algorithm for Optimal Reactive Power Optimization
نویسندگان
چکیده
The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents’ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called “Ants” co-operates to find good solution for Reactive Power Optimization problem. The ACSA is applied for optimal reactive power optimization is evaluated on standard IEEE, 30, 57, 191 (practical) test bus system. The proposed approach is tested and compared to genetic algorithm (GA), Adaptive Genetic Algorithm (AGA).
منابع مشابه
Application of Ant Colony Optimization Algorithms to Optimal Reactive Power Dispatch
The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optimization problem involving nonlinear objective function with multiple local minima. In this paper, as a new approach, different ant colony optimization (ACO) algorithms are applied to the reactive power dispatch problem. Ant system (AS), the firstly introduced ant colony optimization algorithm, and its direc...
متن کاملOptimal Operation of CHP Combined Heat Generation Systems Using the Crow Search Optimization Algorithm
Energy efficiency of power plants is less than 60% However, the efficiency of the CHP units can be up to 90 %.CHP units in addition to high efficiency, They reduce environmental pollutants by 13 to 18 percent. The purpose of this thesis is to use the simultaneous power and power generation plants to reach the optimal economic destination for Genco And to maximize economic profit And to minimize...
متن کاملOptimization of Combined Heat and Power Systems using a Hybrid Algorithm of Ant and Bee Colony Optimization
Abstract: In the last few years, due to the development of the new equipment in power systems, challenges have appeared in their planning and operation. One of these issues is the development of combined heat and power (CHP) units. These units have the capability to generate heat and electricity simultaneously according to their limitations. Hence, it is necessary for them to think about the ar...
متن کاملOptimal Distributed Generation (DG) Allocation in Distribution Networks using an Improved Ant Colony Optimization (ACO) Algorithm
Abstract: The development of distributed generation (DGs) units in recent years have created challenges in the operation of power grids, especially distribution networks. One of these issues is the optimal allocation (location and capacity) of these units in distribution networks. In this thesis, a method based on the improved ant colony optimization algorithm is presented to solve the problem ...
متن کاملLoad Balancing Using a Best-Path-Updating Information-Guided Ant Colony Optimization Algorithm
Abstract: Load balancing and phase balancing are important complement to reconfiguration of the feeder and the network.In the distribution automation ,these issues must be solved continuously and simultaneously to ensure the optimal performance of a distribution network.Distribution network imbalance has various consequences such as increase in power losses, voltage drop,cost increase,etc.In th...
متن کامل