Oppositionbased gravitational search algorithm optimal reactive power dispatch. Optimal reactive power dispatch orpd, a separate problem of optimal power flow opf. The proposed method uses only one modified equation for producing the first new solution generation and the second new solution. Differential evolution approach to optimal reactive power dispatch with voltage stability enhancement by modal analysis. In 7, the multiobjective optimization of reactive power control based on fuzzy system is suggested. In this paper, we propose this powerful algorithm for solving reactive power dispatch problem. Optimal reactive power dispatch orpd is necessary for security enhancement of power systemthe newly introduced fruit fly algorithm is proposed to be used for optimizing the reactive power flow. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Parallel optimal reactive power flow based on cooperative.
Reactive power dispatch rpd is one of the major issues of modern energy management. This paper proposes an improved social spider optimization isso for achieving different objectives of optimal reactive power dispatch orpd. The problem was designed as a multiobjective case with loss minimization. Application of hybrid mopso algorithm to optimal reactive. In this work, a seeker optimization algorithm soabased reactive power dispatch method is proposed. In this paper, an ameliorated particle swarm optimization apso algorithm has been proposed to solve the optimal reactive power dispatch problem. An improved generalized differential evolution algorithm for. Section 3 gives an overview of differential evolution algorithm. Optimal reactive power dispatch using mothflame optimization. Optimal reactivepower dispatch using differential search. Introduction in recent years the optimal reactive power dispatch orpd problem has received great attention as a result of the improvement on economy and security of power system operation.
Optimal reactive power dispatch problem in power systems has thrown a growing influence on secure and economical operation of power systems. Pdf optimal reactive power dispatch using selfbalanced. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions of the regulating transformer and the var injection of the shunts compensator, for real power loss minimization in the transmission system. Design of fractional swarming strategy for solution of. Differential evolutionary algorithm for optimal reactive. This paper presents a recently developed modified differential evolution mde algorithm to solve orpd problem by minimizing real power loss.
This problem is formulated as a challenging nonlinear constrained multiobjective optimization problem considering three objectives, that is, power losses minimization, voltage profile improvement, and voltage stability enhancement. Generator terminal voltages, tap setting of transformers and reactive power generation. In recent years it is very common to improve these kinds of algorithms in order to. In a distribution system integrated with distributed generation dg, optimal reactive. A multi objective hybrid differential evolution algorithm. The main objective of orpd is to minimize the total active power loss with optimal setting of control variables. Optimal reactive power dispatch orpd problem considering tcsc is introduced based on modified differential evolution algorithm mdea. This study presents a gravitational search algorithm gsa for reactive power dispatch rpd problem. For maintaining good diversity, the concepts of simulated binary crossover sbx based recombination. Rpd is an optimisation problem that decreases grid congestion with one or more objective of minimising the active power loss for a fixed economic power schedule. Combined differential evolution algorithm and ant system. Optimal reactive power dispatch using a gravitational search.
Differential evolution algorithm for optimal reactive power dispatch a. An improved generalized differential evolution algorithm. Reactive power dispatch plays a key role in secure and economic operation of power systems. The purpose of the reactive power dispatch rpd in power system is to identify the control variables which minimize the given objective function while satisfying. It is reported in those that evolutionary or heuristic algorithms are more efficient. Optimal reactive power dispatch using chaotic bat algorithm. In order to overcome this disadvantage, a novel decomposition and coordination method based on the cooperative coevolutionary architecture and the voltagevar sensitivitybased power system. Optimal dispatch of reactive power using modified stochastic.
Differential evolution approach for optimal reactive power. Solution of optimal reactive power dispatch by a hybrid gsasqp algorithm. The problem was designed as a multiobjective case with loss minimization and voltage stability as objectives. Optimal reactive power dispatch using improved differential.
In this section performance of differential evolutionary algorithm for optimal reactive power dispatch was evaluated on ieee 30, 57 and 118 bus systems with simulation parameters given in table 2. Optimal reactive power dispatch problem in power systems has. Gravitational search algorithm gsa, particle swarm optimization pso, function optimization, optimal reactive power dispatch, power system. Abstract in this paper, quasioppositional biogeography basedoptimization qobbo for optimal reactive power dispatch orpd is presented. Traditionally, optimal reactive power dispatch orpd is a subset of optimal power flow opf and can be achieved by controlling a number of control variables such as generator voltages, transformers trappings and compensation of reactive power to optimize specific objectives. In a distribution system integrated with distributed generation dg, optimal reactive power dispatch can be carried out by controlling. Alcpso algorithm is applied for the solution orpd problem of power systems. Optimal reactive power dispatch, mothflame optimization algorithm, curtailing the real power loss in transmission lines, controlling the bus voltages in system network.
An efficient differential evolutionary approach to optimal. Solution of optimal reactive power dispatch by an opposition. Due to complex characteristics, heuristic and evolutionary based optimization approaches have became effective tools to solve the orpd problem. Ga based fgp approach for optimal reactive power dispatch core. This paper presents multiobjective differential evolution mode algorithm for multiobjective optimal reactive power dispatch to minimize real power loss, total voltage deviation and total capacity of reactive power sources in distribution system. Other new optimization techniques are based on using fuzzy logic 27, lagrangian decomposition method 28. This paper present optimal reactive power dispatch with the help of differential evolution algorithm. Scheduling of reactive power resources is formulated as nonlinear complex optimal reactive power dispatch orpd problem.
Combined differential evolution algorithm and ant system for optimal reactive power dispatch article pdf available in energy procedia 14. Differential evolution algorithm for optimal reactive. Optimal reactive power dispatch orpd using generalized differential evolution algorithm 1arvindkumar j. Optimization algorithm for optimal reactive power dispatch. Research on hybrid modified cuckoo search algorithm for. Optimal reactive power dispatch using differential. An improved multiobjective generalized differential evolution igde3 approach to solve optimal reactive power dispatch orpd with multiple and competing objectives is proposed in this article. Application of alcpso algorithm for solution of orpd problem. Pdf reactive power dispatch rpd is one of the important tasks in the operation and control of power system. Differential evolution algorithm for optimal reactive power. In 15,an improved evolutionary programming is used to solvethe optimal reactive power dispatch problem.
Optimal reactive power dispatch using modified differential. Optimal location and sizing of upqc in distribution. This study presents a novel hybrid multiobjective particle swarm optimization hmopso algorithm to solve the optimal reactive power dispatch orpd problem. However, this issue is well known as a nonlinear, multimodal and mixedvariable problem. The proposed msfs method is newly constructed in the paper by modifying three new solution. Optimal reactive power dispatch using teaching learning. The problem that has to be solved in a reactive power. Social emotional optimization algorithm for solving optimal reactive power dispatch problem k. Differential evolution based optimal reactive power dispatch for real power loss minimization in power system is presented in this paper. The proposed method uses only one modified equation for producing the first new solution generation and the second new solution generation while the. Reactive power dispatch rpd is one of the important tasks in the operation and control of power system. Optimal reactive power dispatch using differential evolution bat algorithm for reduction of international conference on emerging trend in engineering and management research 39 page icetemr2016 26. Citeseerx optimal reactive power dispatch orpd using. Keywordreal coded genetic algorithm, differential evolution, hybrid rgade algorithm, optimal power flow, newton raphson power flow.
Improved social spider optimization algorithm for optimal. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions and the number of shunts to be switched, for real power loss minimization in the transmission system. The hybrid real coded genetic algorithm and differential evolution. Differential evolutionary algorithm for optimal reactive power dispatch. In this paper, strength of metaheuristic computing paradigm based on fractionalorder darwinian particle swarm optimization fodpso is exploited for optimization of rpd. The network data for the test systems are given in. Ongsakul, tvacpso based optimal reactive power dispatch for reactive power cost allocation under deregulated environment, in. Also, a stochastic multiobjective orpd smoorpd model is studied under load and wind power. Orpd is a nonlinear constrained optimization problem. Optimal reactive power dispatch using selfbalanced differential. In 16, the optimal reactive power flow problem is solved by integrating a genetic algorithm with a nonlinearinterior point method. The differential evolution solution has been tested on two standard ieee systems.
In this paper, stochastic fractal search method sfs is employed for solving the optimal reactive power flow orpf problem with a target of optimizing total active power losses tpl, voltage deviation vd, and voltage stability index vsi. The objective functions are minimization of real power loss and bus voltage profile improvement. The optimum operation problem of electrical energy generation systems is a difficult problem to solve with numeric methods in terms of the constraints it includes. Orpd problem is formulated for real power loss and voltage deviation minimization. The proposed isso method is developed by applying two modifications on new solution generation process. Social emotional optimization algorithm for solving optimal. Engineering and manufacturing electric power systems analysis load dispatching load dispatching electric power quadratic programming usage reactive power. Optimal reactive power dispatch using quasioppositional. The study is implemented on ieee 30, 57 and 118bus test power systems. First of all, to ensure the economy and security of the power system, the morpd model aiming to minimize active power loss and voltage deviation is formulated. Various optimization algorithms are frequently used in order to be able to obtain the acceptable solutions of these kinds of problems in short times.
Multiobjective optimal reactive power dispatch for. The multi objective function is considered to minimize the summation of power losses, voltage deviation, reactive power. Optimal reactive power flow for largescale power systems. The optimal power flow and reactive power dispatch are the. Differential evolution algorithm for optimal reactive power dispatch. As in the case of ieee 14bus system, it was found that all of the control variables settled to. Ela aaae, abido ma, spea sr 2011 differential evolution algorithm for optimal reactive power dispatch. This paper applies a proposed modified stochastic fractal search algorithm msfs for dealing with all constraints of optimal reactive power dispatch orpd and finding optimal solutions for three different cases including power loss optimization, voltage deviation optimization, and lindex optimization. The sources of the reactive power are the generators, synchronous condensers, capacitors, static compensators and tap changing transformers. This paper presents differential evolutionary algorithm for optimal dispatch for reactive power and voltage control in power system operation studies. The continuous control variables are generator bus voltage magnitudes.
In 1820, various types of probabilistic algorithms utilized to solve optimal reactive power problem. The paper is addressed to the consideration of influence of different methods for generating initial population for genetic algorithm performance. Pdf optimal power flow using differential evolution algorithm. The problem is formulated to find the optimum location of upqc based on an objective function of defined for improving of voltage and current profiles, reducing power loss and minimizing the investment costs. In 16, the optimal reactive power flow problem is solved by integrating a genetic algorithm with a nonlinear interior point method. Optimal reactive power dispatch problem is one of the difficult optimization problems in power systems.
The multi objective function is considered to minimize the summation of power losses, voltage deviation, reactive power losses, cost of tcsc and number of units. This paper presents an evolutionary based algorithm for solving optimal reactive power dispatch problem in power system. Optimal power flow using differential evolution algorithm. Optimal reactive power dispatch orpd is a nonlinear optimization problem which includes both continues and discrete variables. Combined differential evolution algorithm and ant system for. Optimal reactive power dispatch using differential evolution. The target is to minimize the transmission losses, enhance the voltage profile, determine the optimal value of control variables such as generator.
Close accord on particle swarm optimization variants for. Hybrid real coded genetic algorithm differential evolution. Optimal reactive power dispatch is one of most important task in the todays power system operation. Traditionally, orpd is defined as the minimization of active power transmission losses by. In 6, the optimal reactive power dispatch based on differential evolution algorithm is implemented. Solution of optimal reactive power dispatch by a hybrid gsa. Genetic algorithms are widely recognized as efficient tool for solution of complex and nonlinear optimization problem of optimal reactive power dispatch and voltage control in power systems. Index termsoptimal reactive power dispatch, hybrid modified cuckoo search algorithm, cuckoo search algorithm, differential evolutionary algorithm. Differential evolution de12 is an improved version of ga for. Solving optimal reactive power dispatch problem using a novel.
Optimizing reactive power dispatch considering tcsc. Seeker optimization algorithm for optimal reactive power. Application of mixedinteger hybrid differential evolution to optimal reactive power dispatch 159 individual parent. Differential evolution approach to optimal reactive power. Proceedings of ieee conference on power energy and industry applications, 2009, pp. And then the twostep approach integrating decisionmaking into optimization is proposed. The effectiveness of the proposed approach is demonstrated through ieee30 bus system. This paper presents a genetic algorithm ga based approach for solving optimal reactive. Introduction power system operation and planning needs the power flow analysis. Sfs is an effective metaheuristic algorithm consisting of diffusion process and two update processes. This paper employs a comparative study between three recent versions of particle swarm optimization pso algorithm to find the optimal scheduling of reactive power resources.
A new hybrid psogsa algorithm for solving optimal reactive. Optimal reactive power dispatch rpd for reducing the real power losses of the transmission system is one of the paramount concerns for the research community to investigate the efficiency of power systems. In 15, an improved evolutionary programming is used to solve the optimal reactive power dispatch problem. Using genetic algorithm for optimal dispatching of. Pdf combined differential evolution algorithm and ant. Multiobjective optimal reactive power dispatch of power. A novel algorithm for the optimal reactive power dispatch. Optimal reactive power dispatch orpd using generalized. This paper shows solution of optimal reactive power dispatch orpd problem using a teaching learning based optimization algorithm tlbo with consideration of flexible alternating current transmission systems facts device statcom. Seeker optimization algorithm for optimal reactive power dispatch. R differential evolution algorithm for optimal reactive power dispatch. Introduction the orpd is a subproblem of the optimal power flow opf calculation and has a significant influence on secure and economic operation of power systems. The popular work in this area is multiobjective optimization approaches.
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