PSO based economic emission dispatch for fixed head hydrothermal systems

Sasikala, J.; Ramaswamy, M.

doi:10.1007/s00202-012-0234-x

Cited by 14 publications

(12 citation statements)

References 25 publications

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“…The result comparisons for the three cases from the proposed ALHN with other methods including LGM, EPSO, and PM in [3] are given in Tables 1, 2, and 3. For the economic dispatch, the proposed ALHN can obtain better total costs than the other except for the system 2 which is slightly higher than the others.…”

Section: Case 1: the First Three Systemsmentioning

confidence: 99%

“…In the compromise case, there is a trade-off between total cost and emission and the obtained solutions from the methods are non-dominated as in Table 3. The total computational times for economic dispatch, emission dispatch, and compromise case of the three systems from the proposed ALHN are compared to those from LGM, EPSO, and PM methods in [3]. As observed from the table, the proposed method is faster than the others for obtaining optimal solution.…”

Section: Case 1: the First Three Systemsmentioning

confidence: 99%

“…As observed from the table, the proposed method is faster than the others for obtaining optimal solution. There is no computer reported for the methods in [3].…”

Section: Case 1: the First Three Systemsmentioning

confidence: 99%

“…However, the major amount electric power in power systems is produced by thermal plants using fossil fuel such as oil, coal, and natural gases [2]. In fact, the process of electricity generation from fossil fuel releases several contaminants such as nitrogen oxides (NO x ), sulphur dioxide (SO 2 ), and carbon dioxide (CO 2 ) into the atmosphere [3]. Therefore, the HTS problem can be extended to minimize the gaseous emission as a result of the recent environmental requirements in addition to the minimization the fuel cost of thermal power plants, forming the multi-objective HTS problem.…”

Section: Introductionmentioning

confidence: 99%

“…For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature including λ-γ iteration method (LGM), existing PSO-based HTS (EPSO), and PSO based method (PM) in [3] and bacterial foraging algorithm (BFA) [2].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network

Nguyen¹,

Vo²

2014

Journal of Electrical Engineering and Technology

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-This paper proposes an augmented Lagrange Hopfield network (ALHN) based method for solving multi-objective short term fixed head hydrothermal scheduling problem. The main objective of the problem is to minimize both total power generation cost and emissions of NO x , SO 2 , and CO 2 over a scheduling period of one day while satisfying power balance, hydraulic, and generator operating limits constraints. The ALHN method is a combination of augmented Lagrange relaxation and continuous Hopfield neural network where the augmented Lagrange function is directly used as the energy function of the network. For implementation of the ALHN based method for solving the problem, ALHN is implemented for obtaining non-dominated solutions and fuzzy set theory is applied for obtaining the best compromise solution. The proposed method has been tested on different systems with different analyses and the obtained results have been compared to those from other methods available in the literature. The result comparisons have indicated that the proposed method is very efficient for solving the problem with good optimal solution and fast computational time. Therefore, the proposed ALHN can be a very favorable method for solving the multi-objective short term fixed head hydrothermal scheduling problems.

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Section: Case 1: the First Three Systemsmentioning

confidence: 99%

Section: Case 1: the First Three Systemsmentioning

confidence: 99%

“…As observed from the table, the proposed method is faster than the others for obtaining optimal solution. There is no computer reported for the methods in [3].…”

Section: Case 1: the First Three Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network

Nguyen¹,

Vo²

2014

Journal of Electrical Engineering and Technology

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Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition

Zhu

Qiao

Dong

et al. 2019

IEEJ Transactions Elec Engng

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Due to the pressures of energy and environment problems, the dynamic economic emission dispatch (DEED), which is more in line with actual dispatching requirements, has become an important research issue in recent years. In this paper, the highly dimensional, strongly coupled, nonlinear and nonconvex multiobjective DEED model is established considering both the fuel costs and pollution emissions objectives. Furthermore, an improved multiobjective evolutionary algorithm based on decomposition with constraints handling (IMOEA/D‐CH) is proposed to obtain the optimal dispatching schemes. The IMOEA/D‐CH method first decomposes the DEED problem into a number of scalar optimization subproblems and then evolves them simultaneously using the neighborhood information. The real‐time heuristic constraints adjustment and modification methods and the adaptive threshold punishment mechanism are adopted in allusion to the complex constraints of the dispatching model. An evolutionary control strategy is also utilized to avoid excessive evolution of the algorithm toward a certain objective. In addition, the fuzzy decision‐making strategy is used to provide the decision maker with the optimal compromise solutions. To validate the effectiveness of the IMOEA/D‐CH method, the IEEE 30‐bus 6‐generator system and 10‐generator system and 118‐bus 14‐generator system are studied as test cases. The simulation results indicate the validity and superiority of the proposed method compared with the other reported methods. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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A New Optimal Algorithm for Multi-objective Short-Term Fixed Head Hydrothermal Scheduling with Emission Control Consideration

Dinh

Nguyen

2017

Lecture Notes in Electrical Engineering

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PSO based economic emission dispatch for fixed head hydrothermal systems

Cited by 14 publications

References 25 publications

Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network

Multi-Objective Short-Term Fixed Head Hydrothermal Scheduling Using Augmented Lagrange Hopfield Network

Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition

A New Optimal Algorithm for Multi-objective Short-Term Fixed Head Hydrothermal Scheduling with Emission Control Consideration

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