The superposition characteristic and probability representation of quantum. In this paper, a new particle swarm optimization pso called quantum particle swarm optimization qpso is used for solving economic load. Funabashi, solving economic load dispatch problem with valvepoint effects using a hybrid quantum mechanics inspired particle swarm optimization, iet gener. The objective of eld problem can be defined as determining the real power outputs of generators so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. The strategy employs a hybrid mechanism involving a quantum mechanics inspired particle swarm optimisation pso. P quantuminspired particle swarm optimization for valvepoint. An elitist transposon quantumbased particle swarm optimization. An improved particle swarm optimization for the combined. Quantumbehaved particle swarm optimization algorithm for. The proposed approach, double elitist breeding quantumbased particle swarm optimization. In this code, quantum computing qc inspired particle swarm optimization qpso technique is utilized to solve economic dispatch ed problem, which has strong, robust and reliable search capability with powerful convergence properties. Kishk center of applied electromagnetic systems research, department of electrical engineering, university of mississippi, university, ms 38677, usa abstract a new particle swarm optimization pso technique for electromagnetic applications is proposed. Economic load dispatch eld problem is an important issue in the operation and control of modern control system. Solution to economic dispatch problem with valvepoint loading.
The aim of economic dispatch ed problem is to provide an efficient utilization of energy resources to produce economic and secure operating conditions for the planning and operation of a power system. In this paper, quantuminspired particle swarm optimization qpso is proposed, which has stronger search ability and quicker convergence speed, not only because of the introduction of quantum computing theory, but also due to two. Quantumbehaved particle swarm optimization qpso is an efficient and powerful populationbased optimization technique, which is inspired by the conventional particle swarm optimization pso and quantum mechanics theories. The quantuminspired particle swarm optimization qpsois proposed by kemeng et al 9 the.
Due to valve point loading effects mechanism, complexity will come into picture and some other additionalities will include. The nonsmoothnonconvex ed problem takes into account valvepoint. Different heuristic optimization methods have been proposed to solve this problem in previous. This paper presents improved artificial cooperative search iacs algorithm for solving economic dispatch problems considering the valve point effects, ramp rate limits, transmission losses and prohibited operation zones. Improved artificial cooperative search algorithm for. In order to improve the solution quality and increase the search efficiency, a novel perturbation scheme called global best guided chaotic local search is. Quantuminspired particle swarm optimization for valvepoint economic load dispatch abstract. The results have been demonstrated for economic load dispatch of standard 3generator and 10generator systems with and without consideration of the transmission losses. Optimization of economic load dispatch problem by using. In this paper, an improved qpso named sqpso is proposed, which combines qpso with a selective probability operator to solve the economic. Keywords economic load dispatch, particle swarm optimization, valve point loading effects.
Quantumbehaved bat algorithm for solving the economic. This paper presents an elitist transposon quantumbased particle swarm algorithm to solve economic dispatch ed problems. The quantuminspired particle swarm optimization qpsois proposed by kemeng et al 9 the algorithm has stronger search ability and quicker convergence speed, not only because of the introduction of quantum computing theory, but also due to two special implementations. Ed is formed as a nonlinear optimization problem with conflicting objectives and subjected to both inequality and equality constraints. It is an evolutionary populationbased algorithm, where each member is seen as a particle, and each particle is a potential solution to the problem under analysis. The pso was first introduced by kennedy and eberhart in the middle of 90s. Dynamic harmony search with polynomial mutation algorithm. Solving economic dispatch with valve point loading effects. Economic load dispatch eld is an important topic in the operation of power plants which can help to build up effective generating management plans. An efficient particle swarm optimization for economic. The new method is based on quantum mechanics rather than the.
A new hybrid mgbpsogsa variant for improving function. Economic load dispatch, particle swarm optimization, genetic algorithm, cost minimization, power system. Ant colony optimization for economic dispatch problem with nonsmooth cost functions. Pdf economic load dispatch eld is an important topic in the operation of power plants which can help to build up effective generating. The problem becomes nonconvex and nonsmooth when the generators prohibited zones and valvepoint effect are considered. Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valvepoint effects coelho, l. In this paper, a new particle swarm optimization pso called quantum particle swarm optimization qpso is used for solving economic load dispatch eld problem with valvepoint effect. It is an evolutionary populationbased algorithm, where each member is seen as a particle, and each particle is a potential solution to the. Solving economic load dispatch problem with valvepoint effects using a hybrid quantum mechanics inspired particle swarm optimisation. The eld problem is complex and nonlinear with equality and inequality constraints which makes it hard to be efficiently solved. Considering that ga is the most classic and representative heuristic algorithm, gwo is an up. Quantuminspired particle swarm optimization for valve.
Pdf quantum particle swarm optimization for economic. Application of particle swarm optimization pso algorithm on power system operation is studied in this chapter. Solving economic load dispatch problem with valvepoint. Qpso is implemented on a 6unit power generation system and compared with lagrangian relaxation, particle swarm. The pso algorithm is inspired by the social behavior of bird flocking. Economic load dispatch eld performs an important part in the economic operation of power system. The consideration of the transmission losses makes the ed problem even more complicated. A novel hybrid particle swarm optimization for economic. An improved quantum particle swarm optimization algorithm.
The conventional pso and catfish pso algorithms are applied to three different test systems. Economic dispatch ed of electric power generation is used to determine an optimal. A new method called speciesbased quantum particle swarm optimization sqpso, which is based on the quantum particle swarm optimization qpso, is proposed and applied in order to solve this problem possessing nonsmooth and smooth cost functions. Quantuminspired particle swarm optimization for valvepoint economic load dispatch. Quantuminspired particle swarm optimization for valvepoint economic load dispatchl ieee transactions on power systems, vol. Quantumbehaved bat algorithm for solving the economic load dispatch problem considering a valvepoint effect. Multiobjective shortterm hydrothermal scheduling based on heuristic search technique. Populationbased optimization algorithms are useful tools in solving engineering problems. This study presents a novel and heuristic algorithm for solving ed problems, by employing a new heuristic method, called imperialist competition algorithm ica. Large scale economic dispatch of power systems using.
Quantuminspired particle swarm optimization for valvepoint. The eld problem is considered as a nonlinear constrained optimisation problem. Particle swarm optimization based economic load dispatch. Pso technique is proposed for the economic load dispatch problem. Particle swarm optimization for economic power dispatch with valvepoint effects. The eld problem has nonsmooth cost function with equality and inequality constraints which make it. Economic load dispatch eld problem play a vital role in the operation of power system it is the short term determination of the optimal output of the number of electricity generation facilities, to meet the system load, at the lowest possible cost subjected to transmission and operational constraints. Economic dispatch, valve point effects, invasive weed optimization, metaheuristic algorithm, particle swarm optimization. A modified pso based solution approach for economic load dispatch problem in power systems. In this paper, quantum computing theory quantum inspired particle swarm optimization qpso is used to special implementation such as.
Quantum particle swarm optimization for economic dispatch. Stateoftheart economic load dispatch of power systems. This paper presents a new modification of harmony search hs algorithm named as dynamic harmony search with polynomial. Social cognitive optimization with tent map for combined. A hybrid gapssqp method to solve power system valvepoint economic dispatch problems. Funabashisolving economic load dispatch problem with valvepoint effects using a hybrid quantum mechanics inspired particle swarm optimization iet gener transm distrib, 5 10 2011, pp. Economic load dispatch eld is an important topic in the operation of power plants which can help to build up effective generating. In this research, quantum particle swarm optimization qpso is utilized to solve multiobjective combined economic emission dispatch ceed problem formulated using cubic criterion function considering a uni wise maxmax price penalty factor. An efficient particle swarm optimization for economic dispatch with valvepoint effect dr. A hybrid particle swarm optimization employing crossover operation for economic dispatch problems with valvepoint effects. Economic load dispatch with valve point effect using quantum.
Introduction economic load dispatch eld is a very important improvement task in grid operation for allocating generation among the committed units such the constraints obligatory. Economic load dispatch eld is an important issue in the operation and control of modern control system. A nonconvex economic dispatch problem with valve loading. Quantum particle swarm optimization for electromagnetics said mikki and ahmed a. Particle swarm optimization approaches to solve the economic dispatch problem 3. The new method is based on quantum mechanics rather than the classic mechanics assumed in all previous versions of pso and has fewer parameters and stronger search. Moreover the valvepoint effects may also be considered.
Naser ghorbani, somayeh vakili, ebrahim babaei and aidin sakhavati, particle swarm optimization with smart inertia factor for solving non. An improved quantumbehaved particle swarm optimization. Speciesbased quantum particle swarm optimization for. A particle swarm optimisation for economicdispatch with nonsmooth cost function.
Zhang z 2010 applied the quantum particle swarm optimization algorithm to the economic load scheduling of power system, which effectively solved the economic load scheduling problem. The eld problem has nonsmooth cost function with equality and inequality constraints which make it difficult to be effectively solved. Introduction economic dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. The modified particle swarm optimization method comprises moving particle locations based on a particles inertia, experience, global knowledge, and a. A survey on economic load dispatch problem using particle. Quantum particle swarm optimization for multiobjective.
However, this algorithm also has some shortcomings, such as too fast decline of diversity, reducing the performance of the algorithm to solve complex multipeak optimization problems, and insufficient ability of the algorithm to jump out of local optimization at the later stage. The effectiveness of the proposed improved particle swarm optimization for solving the combined heat and power dynamic economic dispatch problem is validated on three different test systems, and the results are compared with those of other variants of particle swarm optimization as well as other methods reported in the literature. Traditionally economic load dispatch is done for minimizing generation cost while. Proceedings of international conference in intelligent systems applications to power systems. Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valvepoint effects. Quantum computinginspired metaheuristic algorithms have emerged as a powerful computational tool to solve nonlinear optimization problems. Hence, we use strong optimization techniques to determine the minimum fuel cost for generation.
A quantuminspired gravitational search algorithm for. Abstractmetaheuristic particle swarm optimization pso algorithm has emerged. Particle swarm optimization solution for power system. Quantum particle swarm optimization to solve economic load. Quantumbehaved particle swarm optimization algorithm is firstly used in economic load dispatch of power system in this paper. This article presents an efficient optimization approach to solve constrained economic load dispatch eld problem using a lbestparticle swarm optimization with dynamically varying subswarms lpsodvs. The purpose of this work is to present a solution strategy to solve. An analysis of publications on particle swarm optimisation. A chaotic krill herd algorithm for optimal solution of the. The economic dispatch problem with valve point loading effects may cause a small change in the objective function formulation. Quantumbehaved particle swarm optimization algorithm is the integration of particle swarm optimization algorithm and quantum computing theory.
A new heuristic algorithm for solving nonconvex economic. It is a complex and highly nonlinear constrained optimization problem. Pdf a quantuminspired particle swarm optimization approach for. Design and restructuring of electricity networks and load dispatching are among the problems most. Relay protection coordination in distribution networks and economic dispatch of generators in the grid are defined as two of power systemrelated optimization problems where they are solved using pso. In this paper, quantuminspired particle swarm optimization qpso is proposed, which has stronger search ability and quicker convergence speed, not only because of the introduction of quantum computing theory, but also due to two special implementations. Ke meng, hong gang wang, zhaoyang dong, senior member, ieee.
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