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Economic load dispatch (ELD) is one of the main tools for optimal operation and planning of modern power systems. To solve effectively the ELD problem, most of the conventional calculus methods rely on the assumption that the fuel cost characteristic of a generating unit is a smooth and convex function, resulting in inaccurate dispatch. This paper presents the design and application of a new efficient...
This paper presents an application of Genetic Algorithm (GA) to solve Economic Load Dispatch problem which aims to determine minimum fuel cost and Environmental Load Dispatch problem which aims to determine minimum gas emission for required energy production of the chosen power system. Test system is chosen as IEEE-30 bus system which includes 6 generators with necessary values given for ease of simulation...
Many methods have been introduced as economic load dispatchers. However, all these methods depend on the optimization field, where most of these studies mainly focus on how to strengthen the optimization algorithms themselves. This means the mystery key that segregate between the good and bad ELD solvers is the optimization algorithm itself. However, there is a practical fact known in many real power...
According to no free lunch theorem, a single search technique cannot perform best under different conditions. The integration of principally similar search techniques is one of the option, that has been explored to effectively investigate the search area. In order to avoid stagnation at local minima and to enhance the search capability of particle swarm optimization, this paper proposes a technique...
The economic load dispatch problem is an online optimization problem to calculate the minimal fuel cost for each power generator under load constraints. At first, the classical methods such as lambda iteration and non-linear programming were used to solve the economic load dispatch problem. Although of their accuracy, these methods are time consuming. Meta-heuristic algorithms such as Particle swarm...
This paper proposes a Gaussian shuffled differential evolution (GSDE) for economic load dispatch problem. Proposed technique employs hybrid shuffled differential evolution with Gaussian mutation operator to blend differential evolution with shuffled frog leaping algorithm. Our approach uses shuffled Gaussian mutation operator for avoiding local optima during optimization and prevents prematurisation...
In this modern era, Economic Load Dispatch (ELD) is one of the essential issues of apprehension in power system process and scheduling. The cost function for each unit in ELD problems is resolved by using mathematical or analytical methods in conservative computation. So, the certain ELD problem is signified as a non linear optimization problem having both equality and inequality constraint that cannot...
This paper presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering nonlinearities such as valve point loading, ramp rate limit and prohibited zone. The objective of ELD problem is to determine the optimal...
Optimization is a mathematical technique that concerns the finding of maxima or minima of functions in some feasible region. There is no business or industry which is not involved in solving optimization problems. A variety of optimization techniques compete for the best solution. Economic Dispatch (ED) is also one of the optimization problem. ED is the process of determining optimal output of available...
Economic load dispatch problem becomes complex, when renewable energy sources are also considered with thermal power plant. Therefore, it is challenging to find the optimal solution at lower fuel cost, such that generation meets the load demand. This paper is mainly aimed to design economic load dispatch model for thermal and wind power plants. Due to the varying nature of wind speed, probabilistic...
This paper proposes an effective hybrid Krill Herd algorithm to solve Economic Load Dispatch problems. Effects of valve-point loading, prohibited operating zones of thermal plants are studied. System transmission losses as well as various equality and inequality operational constraints have also been considered. Numerical results exhibit that the proposed technique, involving crossover and mutation...
This paper proposes a modified artificial bee colony algorithm (MABC) for economic load dispatch (ELD) problem in the transmission system. Traditional economic dispatch focuses mainly on the minimization of the total operation cost of the power system. With the appearance of environmental pollution and energy crisis becoming a public issue, environmental effects of generator should be taken into consideration...
The bid-based dynamic economic load dispatch problem (BBDELD) is an optimization problem that arises in the modern context of a de-regulated national energy market, and involves matching bids from competing generating companies to the demands of consumers (regions) so as to maximize a measure of ‘social profit’. We present a novel approach to solving the BBDELD, and introduce a large-scale test-case...
This paper presents a new algorithm called Firefly Algorithm to solve the well-known power system Economic load dispatch problem. Firefly Algorithm is a novel nature-inspired algorithm inspired by social behavior of fireflies and the phenomenon of bioluminescent communication between them. Our proposed algorithm utilized fireflies food searching mechanism to optimize economic load dispatch problem...
This paper proposes an effective algorithm called chemical reaction optimization (CRO) in the field of power system to solve economic load dispatch (ELD) problems involving different equality and inequality constraints. Complex constraints like prohibited operating zone and ramp rate limit are also considered. System transmission loss has also been considered in the test system. Chemical Reaction...
Bat algorithm is a recent addition to the bioinspired algorithms, considered as a new metaheuristic algorithm based on Bat behaviour. This work presents, the optimal solution of economic load dispatch (ELD) is obtained using the proposed bat algorithm. Here the operating cost of a thermal power plant is optimized using Bat algorithm. Numerical results show that the proposed method has good convergence...
Over the last few decades, real world constrained optimization has become an important research topic in the evolutionary computation field. The Economic Load Dispatch is one of the well-known complex practical problems. The problem is usually represented by a non-convex constrained optimization model. In this paper, we propose to use an ensemble of three different Constraint Consensus (CC) methods...
Blended Biogeography Based Optimization (B-BBO) is an extension to the Biogeography Based Optimization (BBO) technique. Here the blending operator is used in the migration operation of BBO, inspired by the blended crossover operator in Genetic Algorithm (GA). In this paper, the B-BBO technique is applied on economic load dispatch (ELD) problems. Two sample systems are taken with quadratic and valve...
This paper is an extension made in biogeography based optimization (BBO) by modifying its migration models to make it more realistic. This BBO technique is then applied on simple economic load dispatch (ELD) problem and ELD with valve point effect to analyze the effect of different migration models. Our analysis concludes that the quadratic and sinusoidal models provide the best result for the ELD...
This paper presents Variable Acceleration Coefficient-based Particle Swarm Optimization (VACPSO) method to solve the economic load dispatch for minimizing fuel cost while considering prohibited operating zones and valve point effect. The proposed VACPSO is a modified version of the conventional Particle Swarm Optimization (PSO). Three modifications are suggested in the proposed VACPSO. First, the...
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