Taking into account the constraints in power system mode optimization by genetic algorithms (original) (raw)
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Optimization of modes of the electric power systems by genetic algorithms
E3S Web of Conferences, 2020
In article discusses issues for solving optimization problems based on the use of genetic algorithms. Nowadays, the genetic algorithms for solving various problems. This includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the population, etc.
Optimization of power systems modes taking into account the influence of electrical networks
RUDENKO INTERNATIONAL CONFERENCE “METHODOLOGICAL PROBLEMS IN RELIABILITY STUDY OF LARGE ENERGY SYSTEMS” (RSES 2021)
The problem of power system mode optimization taking into account losses in electrical networks and constraints on power flows in power transmission lines (PTL) is a complex problem of nonlinear programming. In general case, it is associated with a large number of different-scale variables, simple and functional constraints in the forms of equality and inequality, the different nature of the initial data on the state of the system and complex dependencies between parameters. Therefore, despite the existence of many methods and algorithms for solving of this problem, the issues of their improvement in the direction of increasing the efficiency due to more accurate accounting of limiting and influencing factors remains as an important problem. This paper presents a new algorithm for optimization of modes of power systems taking into account functional constraints in the form of inequality on active power flows in controlled PTL and losses in electrical networks. It characterized with the calculation of active power flows in controlled transmission lines by their expression, using the circuit and operating parameters of the electrical network, as well as taking into account losses without calculation of their derivatives. The results of experimental calculations carried out for a power system, which have four settlement thermal power plants, taking into account the network factor, are presented. They show that the use of the proposed algorithm can significantly increase the efficiency of optimization by increasing the accuracy of accounting of losses in electrical networks and power flows in controlled PTL.
THE THIRD INTERNATIONAL SCIENTIFIC CONFERENCE CONSTRUCTION MECHANICS, HYDRAULICS AND WATER RESOURCES ENGINEERING (CONMECHYDRO 2021 AS)
Optimizing modes of the modern power system on active power is a complex problem of nonlinear mathematical programming. Despite the existence of many methods and algorithms for solving this problem, the issues of their improvement in the direction of correctly taking into account the factors that affect the regime remains an important problem. One of such factors is functional inequality constraints. The paper presents a new algorithm for optimising the modes of power system, taking into account losses in networks and functional constraints in the form of inequalities on power flows of controlled power transmission lines (PTL). A characteristic feature of the algorithm is taking into account the losses in branches by transferring them to the nodes of the electrical network. The algorithm's efficiency is investigated by the example of optimization of the mode of a complex electric power system with four thermal power plants participating in the optimization, ten PTL, in two of which the active power flows are controlled. In this case, the power flows in the controlled lines are determined by linearized formulas using the power distribution coefficients of the nodes. The economic effect on the total fuel consumption due to the use of the proposed algorithm is 0.45%.
A Decade Survey of Engineering Applications of Genetic Algorithm in Power System Optimization
2014 5th International Conference on Intelligent Systems, Modelling and Simulation, 2014
The utilization of Genetic Algorithms (GA) in tackling engineering problems has been a major issue arousing the curiosity of researchers and practitioners in the area of systems and engineering research, operations research and management sciences in the past decades. The limitations on the use of conventional methods and stochastic search paved the way to wide applications of GA optimization techniques in tackling problems related to engineering and sciences. In view of this, this paper presents a state-of-the-art survey of applications of GA technique in engineering with focus on system power optimization using GA in the last decade. Hence, the scope of this paper is centred between the years 2003-2013.
Literature Review of Genetic Algorithm in Power System
The utilization of genetic algorithm (GA) in tackling engineering problems has been a major issue arousing the curiosity of researcher and practitioner system and engineering research, operation research and management sciences in last few years. The various improvement occurs in it year by year, and researches has been done over genetic algorithm to improve its limitation and to process well. In view of this, this paper present a state-of-the-art survey of application of GA technique in engineering with focus on system power optimization using GA in last few years to understand what changes has been done till now and its improvement of various papers that are searched. The scope of the paper is centered between the years 2000-2016.
Application of Genetic Algorithm in Power System Optimization with Multi-type FACTS
2017
In this era of energy crisis, the power system operators are very much driven to minimize the overall system loss and generation cost. Maximization of network load-ability without compromising the system stability has become a major concern for them. Introduction of FACTS technology can help a system to achieve these goals without building new transmission lines that is both expensive and time consuming. However, the new installation of FACTS in the system has to be optimal in terms of its type, location and size. This paper seeks to present a genetic algorithm based framework that can optimize a system having FACTS devices with an objective of improved economic dispatch. The IEEE 14 & 30 bus systems are taken as illustrative examples to validate the effectiveness of proposed method.
Analysis and Optimization of Power Transmission Grids by Genetic Algorithms
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Optimization Techniques in Power System: Review
International Journal of Engineering Applied Sciences and Technology, 2019
Power systems are very large and complex, it can be influenced by many unexpected events this makes Power system optimization problems difficult to solve, hence methods for solving these problems ought to be, an active research topic. This review presents an overview of important mathematical optimization methods those are Unconstrained optimization approaches Nonlinear programming (NLP), Linear programming (LP), Quadratic programming (QP), Generalized reduced gradient method, Newton method, Network flow programming (NFP), Mixed-integer programming (MIP), Interior point (IP) methods and Artificial intelligence (AI) techniques such as Artificial Neural Network (ANN), fuzzy logic,Genetic Algorithm (GA), Particle Swarm Optimization (PSO),Tabu Search (TS) algorithm, etc. and Hybrid artificial intelligent techniques are discussed. And also applications of optimization techniques have been discussed. Finally classification, application area, observation, conclusion, and recommendation for future research work will be forwarded.
Implementation and Analysis of Genetic Algorithms (GA) to the Optimal Power Flow (OPF) Problem
2018
Recently, there is an increasing need for Optimal Power Flow (OPF) to solve problems of today's deregulated power systems and the unsolved problems in the vertically integrated power systems. The most important aspects related to OPF are the solution methodologies, and the application areas. This work is an implementation and analysis of an optimization method based on Meta-Heuristics in the form of Genetic Algorithms (GA) for solving the OPF problem (GA-OPF) considering transformer tap, and shunt VAR compensation settings. The effects of the parameters of the presented GA on the performance the OPF problem solution is analyzed in details. Moreover, the GA-OPF solutions are compared to solution obtained from classical optimization techniques presented in MATPOWER program. The effectiveness of the presented GA-OPF technique is demonstrated on the IEEE 9-bus system and the IEEE 14-bus system.
A Review of Genetic Algorithms in Power Engineering
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Genetic algorithm is a search and optimisation method simulating natural selection and genetics. It is the most popular and widely used of all evolutionary algorithms. Genetic algorithms, in one form or another, have been applied to several power system problems. This paper gives a brief introduction to genetic algorithms and reviews some of their most important applications in the field