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This paper presents a classical technique based on co-ordination equation to solve Environmental Economic Dispatch (EED) problem, considering nonlinear characteristics of the generator such as Ramp Rate limits and Prohibited Opera...
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This paper presents a classical technique based on co-ordination equation to solve Environmental Economic Dispatch (EED) problem, considering nonlinear characteristics of the generator such as Ramp Rate limits and Prohibited Operating Zones. The multi-objective EED problem is converted into a single objective problem using a modified price penalty factor approach. In this paper, incremental cost is heuristically updated iteratively, which makes the solution independent of the number of the generating units. The approach includes the evaluation of trade-off curve between fuel cost and emission level according to the multi-objective function. The performance of the proposed method is demonstrated using modified IEEE 14 and 30 bus systems with different loading conditions.
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This study performs an extensive review on distributed economic dispatch method for the power system based on consensus. It covers the comparison of centralised and distributed economic dispatch method in terms of system structure...
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This study performs an extensive review on distributed economic dispatch method for the power system based on consensus. It covers the comparison of centralised and distributed economic dispatch method in terms of system structure, performance requirement and solution process. The key links in the process of solving economic dispatch problem are summarised, and the advantages and disadvantages of the existing distributed economic dispatch algorithm are reviewed. Furthermore, the possible research directions, from the authors' point of view, are also provided in this study.
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Due to the environmental concerns that evolve from the emissions produced by fossil-fuelled power plants, the economic dispatch that minimises only the total fuel cost can no longer be considered single-handed. This paper proposes...
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Due to the environmental concerns that evolve from the emissions produced by fossil-fuelled power plants, the economic dispatch that minimises only the total fuel cost can no longer be considered single-handed. This paper proposes an analytical strategy based on mathematical modelling to solve economic, emission, and combined economic and emission dispatch problems by a single equivalent objective function. The proposed strategy has been applied to dissimilar realistic systems at different load conditions and the outcome of one such realistic system is presented here.
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This paper presents a sequential approach with matrix framework for solving various types of economic dispatch problems. The objective of the economic dispatch problems of electrical power generation is to schedule the committed g...
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This paper presents a sequential approach with matrix framework for solving various types of economic dispatch problems. The objective of the economic dispatch problems of electrical power generation is to schedule the committed generating units output so as to meet the required load demand while satisfying the system equality and inequality constraints. This is a maiden approach developed to obtain the optimal dispatches of generating units for all possible load demands of a power system in a single execution. The feasibility of the proposed method is demonstrated by solving the economic load dispatch problem, combined economic and emission dispatch problem, multiarea economic dispatch problem and economic dispatch problem with multiple fuel options. The proposed methodology is tested with different scales of power systems. The generating unit operational constraints are also considered. The simulation results obtained by the proposed methodology for various economic dispatch problems are compared with previous literatures in terms of solution quality. Numerical simulation results indicate an improvement in total cost saving and hence the superiority of the proposed method is also revealed for economic dispatch problems.
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This paper proposes a novel optimization which named as Swarm based Mean-variance mapping optimization (MVMOS) for solving the economic dispatch. The proposed optimization algorithm is the extension of the original single particle...
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This paper proposes a novel optimization which named as Swarm based Mean-variance mapping optimization (MVMOS) for solving the economic dispatch. The proposed optimization algorithm is the extension of the original single particle mean-variance mapping optimization (MVMO). The novel feature is the special mapping function applied for the mutation base on the mean and variance of n-best population.The MVMOS outperforms the classical MVMO in global search ability due to the improvement of the mapping. The proposed MVMOS is investigated on four test power systems, including 3-, 13- , 20- thermal generating units and large-scale system 140 units with quadratic cost function and the obtained results are compared with many other known methods in the literature. Test results show that the proposed method can efficiently implement for solving economic dispatch.
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This paper introduces a new method to solve economic dispatch problem in power system operation with wind farm (WF) connecting. The method is cuckoo search algorithm (CSA) which can to solve effective ED problem. The subject of th...
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This paper introduces a new method to solve economic dispatch problem in power system operation with wind farm (WF) connecting. The method is cuckoo search algorithm (CSA) which can to solve effective ED problem. The subject of this paper is optimal solutions about total power output each generator and WF with minimum operation cost in power system. The research study CSA and develop this method which become new method more efficient than former methods. CSA apply to solve ED problem with WF which give the best results and programming time. For ED problem simulator, program applies 30 buses IEEE system and Matpower 4.1 Toolbox to run power system with WF connecting. The results of this method also are compared to other previous methods and assess its results.
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This paper attempts to develop an elegant biogeography based optimization algorithm for obtaining the best compromise solution of EED problem. The basic philosophy orients to create a modified objective function that provides equa...
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This paper attempts to develop an elegant biogeography based optimization algorithm for obtaining the best compromise solution of EED problem. The basic philosophy orients to create a modified objective function that provides equal significance to both fuel cost and emission cost components. Besides it requires only three solution runs unlike other strategies involving more solution runs. The performance is evaluated through three test systems and the simulation results are presented to demonstrate the validity and effectiveness of the scheme for practical applications.
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This paper presents a Real Coded Chemical Reaction algorithm (RCCRO) approach to solve the Economic Emission Load Dispatch (EELD) problem of thermal generators of power systems. Emission substance like NO_x, power demand equality ...
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This paper presents a Real Coded Chemical Reaction algorithm (RCCRO) approach to solve the Economic Emission Load Dispatch (EELD) problem of thermal generators of power systems. Emission substance like NO_x, power demand equality constraint and operating limit constraint are considered here. EELD problem has been originated as a multi-objective problem by considering both economy and emission simultaneously. Chemical Reaction Optimization (CRO) mimics the interactions of molecules in a chemical reaction to reach a low energy stable state. Basically, the CRO is designed to work in the discrete domain optimization problems. A real coded version of it, known as Real-Coded Chemical Reaction Optimization (RCCRO) is applied here to solve multi-objective EELD problems, in order to show the advantages of proposed algorithm to solve complex continuous optimization problems. Different test systems having 10, 13 and 40 generators, addressing valve-point loading and NO_x emission have been considered. The solutions obtained are quite encouraging and superior to different existing optimization techniques.
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The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating units to meet the power demand at lowest possible cost and subjected to the operational constraints. Various ELD optimization method...
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The main purpose of Economic Load Dispatch (ELD) is to determine the optimal output of generating units to meet the power demand at lowest possible cost and subjected to the operational constraints. Various ELD optimization methods have been developed in order to deal with the challenges of continuous and sustainable power at optimal cost. The deficiency of fossil fuel reserve and rapid increase of fuel prices to generate electricity have encouraged the use of Renewable Energy (RE). Furthermore, the concerns over environmental pollution also become a factor to incorporate the RE and fossil fuel in generating electricity. This paper proposes the Firefly Algorithm (FA) to solve Economic and Emission Load Dispatch (EELD) problems by considering the photovoltaic integration power systems. The FA algorithm is used to determine the optimal cost and emission level of power generation. The test case considered in this paper is Static Combined Economic and Emission Dispatch (SCEED) that been simulated for each hour. The test system with 6 units of thermal generator and 13 units of PV generator are used to optimize SCEED problem by using FA. The Weight Sum Method (WSM) approach is used to determine the best compromise solution among the cost and emission. It found that FA can provide the fast convergence in finding the global minima value. Itcan be concluded that FA can solve the problem of economic and emission dispatch accurately.
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In this paper, a new meta-heuristic algorithm, called multi-objective ant lion optimizer (MOALO) is presented to solve environmental economic dispatch (EED) problem considering transmission losses. MOALO is inspired by the hunting...
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In this paper, a new meta-heuristic algorithm, called multi-objective ant lion optimizer (MOALO) is presented to solve environmental economic dispatch (EED) problem considering transmission losses. MOALO is inspired by the hunting mechanism of ant lions in nature. It has fast convergence speed due to the use of roulette wheel selection technique. The effectiveness of the proposed algorithm has been tested on the standard IEEE 30-bus test system and the results were compared with other methods reported in recent literature. The simulation results show that the proposed algorithm outperforms previous optimization methods.
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