Assessment of available transfer capability for practical power systems with combined economic emission dispatch

2004 ◽  
Vol 69 (2-3) ◽  
pp. 267-276 ◽  
Author(s):  
R. Gnanadass ◽  
Narayana Prasad Padhy ◽  
K. Manivannan
Keyword(s):  
Power Systems ◽  
Available Transfer Capability ◽  
Transfer Capability ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem

2020 ◽  
pp. 634-657
Author(s):  
Fahad Parvez Mahdi ◽  
Pandian Vasant ◽  
Vish Kallimani ◽  
M. Abdullah-Al-Wadud ◽  
Junzo Watada
Keyword(s):  
Global Warming ◽  
Power Systems ◽  
Computational Intelligence ◽  
Energy Demand ◽  
Teaching And Learning ◽  
Bat Algorithm ◽  
Cuckoo Search ◽  
Emission Dispatch ◽  
Further Development ◽  
Economic Emission Dispatch

Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limited reserves of fossil fuel and global warming make this topic into the center of discussion and research. In this chapter, we will discuss the use and scope of different quantum inspired computational intelligence (QCI) methods for solving EED problems. We will evaluate each previously used QCI methods for EED problem and discuss their superiority and credibility against other methods. We will also discuss the potentiality of using other quantum inspired CI methods like quantum bat algorithm (QBA), quantum cuckoo search (QCS), and quantum teaching and learning based optimization (QTLBO) technique for further development in this area.

RELIABILITY MANAGEMENT AND IMPROVEMENT FOR PLANNING AND OPERATIONAL PROCESS ENHANCEMENT MEASURES IN DEREGULATED POWER SYSTEMS USING ATC

2010 ◽  
Vol 17 (03) ◽  
pp. 275-289
Author(s):  
V. VIJAY VENU ◽  
A. K. VERMA
Keyword(s):  
Power Systems ◽  
Planning Horizon ◽  
Available Transfer Capability ◽  
Reliability Management ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Transfer Capability ◽  
Ac Transmission ◽  
Deregulated Power Systems

In this paper, beginning with a concise overview of the Available Transfer Capability (ATC) evaluation methods, we make a proposition for reliability management in the planning horizon of deregulated power systems through the concept of Adequacy Resiliency. The derived indices are meant as indicators of adaptability of power systems to ensure the required reliability levels. Improvements to this conceptualization upon the deployment of Flexible AC Transmission System (FACTS) devices are then put forward. We also explore the option of employing the created indices to the operational horizon of power systems, explaining the means of market enhancement. Core reliability issues arising out of the usage of FACTS are then discussed.

Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem

2017 ◽  
pp. 445-468 ◽  
Author(s):  
Fahad Parvez Mahdi ◽  
Pandian Vasant ◽  
Vish Kallimani ◽  
M. Abdullah-Al-Wadud ◽  
Junzo Watada
Keyword(s):  
Global Warming ◽  
Power Systems ◽  
Computational Intelligence ◽  
Energy Demand ◽  
Teaching And Learning ◽  
Bat Algorithm ◽  
Cuckoo Search ◽  
Emission Dispatch ◽  
Further Development ◽  
Economic Emission Dispatch

Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limited reserves of fossil fuel and global warming make this topic into the center of discussion and research. In this chapter, we will discuss the use and scope of different quantum inspired computational intelligence (QCI) methods for solving EED problems. We will evaluate each previously used QCI methods for EED problem and discuss their superiority and credibility against other methods. We will also discuss the potentiality of using other quantum inspired CI methods like quantum bat algorithm (QBA), quantum cuckoo search (QCS), and quantum teaching and learning based optimization (QTLBO) technique for further development in this area.

Economic emission dispatch using an advanced particle swarm optimization technique

2019 ◽  
Vol 16 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Hamid Rezaie ◽  
Mehrdad Abedi ◽  
Saeed Rastegar ◽  
Hassan Rastegar
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Content Type ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

Purpose This study aims to present a novel optimization technique to solve the combined economic emission dispatch (CEED) problem considering transmission losses, valve-point loading effects, ramp rate limits and prohibited operating zones. This is one of the most complex optimization problems concerning power systems. Design/methodology/approach The proposed algorithm has been called advanced particle swarm optimization (APSO) and was created by applying several innovative modifications to the classic PSO algorithm. APSO performance was tested on four test systems having 14, 40, 54 and 120 generators. Findings The suggested modifications have improved the accuracy, convergence rate, robustness and effectiveness of the algorithm, which has produced high-quality solutions for the CEED problem. Originality/value The results obtained by APSO were compared with those of several other techniques, and the effectiveness and superiority of the proposed algorithm was demonstrated. Also, because of its superlative characteristics, APSO can be applied to many other engineering optimization problems. Moreover, the suggested modifications can be easily used in other population-based optimization algorithms to improve their performance.

A two layer differential evolution algorithm for economic emission dispatch with random wind power

2021 ◽  
pp. 1-14
Author(s):  
Chenye Qiu ◽  
Ning Liu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Differential Evolution Algorithm ◽  
Search Performance ◽  
Fossil Energy ◽  
Mutation Strategy ◽  
Differential Evolutionary Algorithm ◽  
Evolution Algorithm ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

This paper proposes a novel two layer differential evolutionary algorithm with multi-mutation strategy (TLDE) for solving the economic emission dispatch (EED) problem involving random wind power. In recent years, renewable energy such as wind power is more and more participated in the power systems to address the problems of fossil energy shortage and environmental pollution. Hence, the EED problem with the availability of random wind power is investigated in this paper. Due to the uncertain nature of wind speed, the Weibull probability distribution function is used to model the random wind power. In order to improve the search ability, TLDE divides the population into two layers according to the fitness ranking, and individuals in the two layers are treated differently to fully investigate their own potential. The two layers can cooperate with each other to further enhance the search performance by utilizing an information sharing strategy. Also, an adaptive restart scheme is introduced to avoid falling into stagnation. The performance of the proposed TLDE is testified on the 40 units system with 2 modified wind turbines. The experimental results demonstrate that the TLDE method can achieve precise dispatch strategy in EED problem with random wind power.

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