Reduction of Real Power Loss by using Comprehensive Neighbourhood Algorithm

In this paper, a new Comprehensive Neighbourhood Algorithm (CNA) is proposed to solve optimal reactive power dispatch problem. This algorithm is predominantly based on equilibrium between both the global and local search. A set of arbitrary solutions are primarily generated from the global search space, and then the best solution will give the optimal value. After that, the algorithm will iterate, and each iteration there will be two sets of generated solutions, one from the global search space and the other set of solutions will be produced from the neighbourhood of the best solution. The proposed Comprehensive Neighbourhood Algorithm (CNA) has been tested on standard IEEE 30, IEEE 57 bus test systems and simulation results show clearly thebetter performance of the proposed algorithm in reducing the real power loss

Progressive Particle Swarm Optimization Algorithm for Solving Reactive Power Problem

In this paper a Progressive particle swarm optimization algorithm (PPS) is used to solve optimal reactive power problem. A Particle Swarm Optimization algorithm maintains a swarm of particles, where each particle has position vector and velocity vector which represents the potential solutions of the particles. These vectors are modernized from the information of global best (Gbest) and personal best (Pbest) of the swarm. All particles move in the search space to obtain optimal solution. In this paper a new concept is introduced of calculating the velocity of the particles with the help of Euclidian Distance conception. This new-fangled perception helps in finding whether the particle is closer to Pbest or Gbest and updates the velocity equation consequently. By this we plan to perk up the performance in terms of the optimal solution within a rational number of generations. The projected PPS has been tested on standard IEEE 30 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss with control variables are within the limits

Minimization of Active Power Loss and Voltage Profile Fortification by Using Differential Evolution – Harmony Search Algorithm

This paper presents DEHS (Differential Evolution-harmony Search) algorithm for solving the multi-objective reactive power dispatch problem .Harmony Search is a new heuristic algorithm, which mimics the procedure of a music player to search for an ideal state of harmony in music playing. Harmony Search can autonomously mull over each component variable in a vector while it generates a new vector. These features augment the flexibility of the Harmony Search algorithm and produce better solutions and overcome the disadvantage of Differential Evolution. Improved Differential Evolution method based on the Harmony Search Scheme, which we named it DEHS (Differential Evolution-harmony Search). The DEHS method has two behaviors. On the one hand, DEHS has the flexibility. It can adjust the values lightly in order to get a better global value for optimization. On the other hand,   DEHS can greatly boost the population’s diversity. It not only uses the DE’s strategies to search for global optimal results, but also utilize HS’s tricks that generate a new vector by selecting the components of different vectors randomly in the harmony memory and its outside. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms.

A New charged system Search for Solving Optimal Reactive Power Dispatch Problem

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. This paper presents a new optimization algorithm based on some principles from physics and mechanics, which will be called Charged System Search (CSS). We utilize the governing Coulomb law from electrostatics and the Newtonian laws of mechanics. CSS is a multi-agent approach in which each agent is a Charged Particle (CP). CPs can affect each other based on their fitness values and their separation distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newtonian mechanics laws. CSS can be utilized in all optimization fields; especially it is suitable for non-smooth or non-convex domains. CSS needs neither the gradient information nor the continuity of the search space. Proposed algorithm has been tested in standard IEEE 30 bus test system.

Voltage Profile Index Enrichment and Dwindling of Real Power Loss by using Acclimatized Imperialist Competitive Algorithm

In this paper, Acclimatized Imperialist Competitive Algorithm (AICA) is proposed for solving reactive power dispatch problem. The Imperialist Competitive Algorithm (ICA) was recently introduced has shown its good performance in optimization problems. This novel optimization algorithm is enthused by socio-political progression of imperialistic competition in the real world .The ICA is straightforwardly stuck into a local optimum when solving numerical optimization problems. In the proposed algorithm, for an effective search, the amalgamation Policy changed dynamically to adapt the angle of colonies movement towards imperialist’s position. To overcome this inadequacy we use probabilistic model that make use of the information of colonies positions to balance the exploration and exploitation aptitude of the imperialistic competitive algorithm. Using this mechanism, ICA exploration capability will augmented. The proposed (AICA) algorithm has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss

Diminution of Real Power Loss by Using Hybridization of Bat Algorithm with Harmony Search Algorithm

In this paper, a new Hybridization of Bat algorithm with Harmony search algorithm (BAHS) is proposed for solving reactive power dispatch problem. The enhancement includes the addition of pitch modification procedure in HS serving as a mutation operator during the procedure of the bat updating with the aim of speeding up convergence, thus making the approach more feasible for a wider range of real-world applications. The proposed Hybridization of Bat algorithm with Harmony search algorithm (BAHS) algorithm has been tested on standard IEEE 30, IEEE 57 bus test systems and simulation results show clearly the superior performance of the proposed algorithm in reducing the real power loss