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This paper reports the application of a hybrid metaheuristic — a combination of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) methods, in midscale thermal power dispatch problem with transmission losses. The hybrid technique applies ACO over output obtained by PSO to get an economic load dispatch (ELD) solution close to global optima. In the present study the hybrid technique...
One of the main issues that still emerging as the most complex fundamental problems in power system operation is Economic dispatch (ED). This paper presents the application of Fruit Fly Optimization (FFO) algorithm technique for solving ED problem. The FFO algorithm is applied to minimize the cost of generating units by allocating the most optimum value of real power for a specific generating unit...
Economic dispatch is considered as one of the critical advancement errand and operational choice which gives a financial condition to control framework. The principle emphasis of economic dispatch is the means by which a power system network can be arranged with the goal that we have minimum cost of electric generation to take care of the load demand, while meeting all the balance and imbalance constraints...
This paper presents a novel solution of convex and non-convex economic load dispatch (ELD) problem of small scale thermal power system using a hybrid soft computing approach. The solution method involves a combination of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms where the latter is used to tune the solution obtained by the former towards finding global optima....
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...
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...
Economic Environmental Dispatch (EED) problem is the most serious problem in power operations and management. Taking into consideration transmission losses, power balance constraint, and generator capacity constraint, the EED problem becomes a non convex optimization problem, which is a difficult task that cannot be solved with traditional techniques. Furthermore, with both the environmental issues...
The economic dispatch problem (EDP) is of vital importance in the operation and control of power systems. In this paper, we consider the extended EDP that takes into account transmission losses and propose a distributed algorithm based on the average consensus algorithm and the bisection method. We assume that the total transmission losses can be represented by the B matrix loss formula, and the communication...
In present days with increasing in load demand and with large interconnection of various networks it is essential to operate generating stations optimally within its constraints. Otherwise the price for the cost of generation increases. So it is very much essential to reduce the cost of generation. The cost of generation mainly includes running cost of generation ie., fuel cost with respect to thermal...
The network flow method is used in many areas and also in power system problems. The main application in power system is optimal power flow calculation, and this article presents three approaches complementing early developments: direct current optimal power flow, direct current optimal power flow with explicit losses and alternating current optimal power flow. We detail the mathematical formulation...
This paper build a comprehensive model of generation rights trades (GRT) based on the energy-saving benefit, emissions reduction benefit and social benefit. Calculate loss allocation by the marginal loss coefficient method, which can reflect the system network loss slightly increased cost information caused by each node For the problem that the marginal loss coefficient of the slack bus can not be...
This paper describes a novel approach for automated synchronous generator parameter derivation using disturbance data. Instead of traditional off-line testing, this process supports validation of dynamic models for generators and their governor, excitation, and stabilizer systems using data gathered while the units are on-line. The approach is based on using digitally recorded unit responses to system...
In this paper, a self-adaptive differential evolution algorithm (SaDEA) is proposed for solving conventional economic dispatch (ED) problem with transmission losses consideration. The purpose of ED problem is to minimize the total fuel cost of thermal power plants associated with the technical operation and economical constraints. The software development has been performed within the mathematical...
Electric power systems consist of generation, transmission, and distribution components. As the demand for electricity grows seemingly endless, it is expected that a number of constraints, such as environmental, regulatory and economic, prevent the construction of new power plants and transmission lines. Finding improved ways to utilize the capacity supplied by existing power generation facilities...
The design of a sustainable electricity generation and transmission system is based on the established science of anthropogenic climate change and the realization that depending on imported fossil-fuels is becoming a measure of energy insecurity of supply. A model is proposed which integrates generation fuel mix composition, assignment of plants and optimized power flow, using Portugal as a case study...
This paper describes the application of secant method for solving economic dispatch (ED) problem with generator constraints and transmission losses. The proposed algorithm involves the selection of minimum and maximum incremental fuel costs (lambda values) and then the evaluation of optimal lambda is done by root finding techniques at required power demand. The proposed algorithm has been tested on...
A novel configuration for a Brillouin distributed fiber sensor based on Brillouin optical time-domain analysis is proposed. This configuration eliminates many intensity noise issues found in previous schemes. Resolution of 7 m all over a 47 km single-mode fiber was achieved and resolution down to 30 cm in a few kilometer fiber. Noise reduction makes possible measurements with a 16 times averaging.
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