Generation reliability evaluation incorporating maintenance scheduling and load forecasting

Nayak, Ashwini Kumar; Mohanta, Dusmanta Kumar; Reddy, M. Jaya Bharata

doi:10.1109/eeeic.2012.6221426

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The methods of distribution load forecasting are divided into 2 categories—simulation method that offers good accuracy but requires large computer resources and load history trending methods that are quick and easy to use but often provide disappointing accuracy even when forecasting only 1 to 4 years ahead. Two different methods of extrapolation technique have been used, to forecast the load. As the projected load always follows the past pattern, in this paper, past load patterns are used to predict future trend.…”

Section: Introductionmentioning

confidence: 99%

Adequacy assessment of a 2 area system with renewable integration

Nayak

Mohanty

Kommukuri

2017

Int J Numerical Modelling

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In this paper, impacts of renewable sources on the adequacy of a 2 area system are presented. Integration of popular renewable sources like photovoltaic (PV) and wind is forcing the operational planner to operate differently. Here, an effort has been made to propose some planning scenarios for 2 area system on the basis of renewable sources integration, and reliability is evaluated corresponding to each scenario. Loss of load expectation is popular method for adequacy assessment following 2 state principle (available or unavailable) of conventional sources. Photovoltaic and wind system never follow 2 state principle unlike conventional. Existing PV module configuration determine the unavailability rate of PV plant considering component failure. Random wind speed is simulated using time series auto regressive moving average model. Wind turbine characteristics and simulated wind speed create multistate wind energy conversion system and reduced by apportioning method to predict unavailability rate. A simple 2 area system is considered to validate the efficacy of proposed theme.

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Section: Introductionmentioning

confidence: 99%

Adequacy assessment of a 2 area system with renewable integration

Nayak

Mohanty

Kommukuri

2017

Int J Numerical Modelling

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“…Minimize the sum of squared reserve generation [37], [40], [41], [42], [43] Reliability based criterion…”

Section: Least Costmentioning

confidence: 99%

Optimal Scheduling of Power Plant Maintenance with Gas Portfolio

Du¹

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Power plant maintenance scheduling aims at defining the sequence of preventive maintenance outages of each unit over the planning time horizon so that the overall costs are minimized and all the constraints are satisfied. Optimization in maintenance scheduling could reduce greenhouse gases and help meeting the surging global energy demand. Maintenance scheduling with gas portfolio could not only cut down the cost for purchasing gas and performing maintenance in the power plant, they could also stabilize the gas network and electricity grid. The goal of this research is to build an applicable mathematical model for optimizing the maintenance scheduling as well as gas purchasing strategy. Firstly, a novel stochastic mathematical model is proposed for making production and maintenance decisions. Then the reformulation of the original model is introduced in order to obtain a tighter convex hull. Thirdly, the reformulated model is decomposed by Branch-and-Price algorithm for solving large-scale problems. Finally, the computational results are compared and future research is proposed. This research helps reduce the risks and costs in the power generation when decision making is needed by managers, investors and traders. I would like to firstly thank my committee chair and advisor, Dr. Qipeng Phil Zheng, for giving me the opportunity to work with him and his students. This thesis would not be possible without his constant guidance and support. I would also like to thank Dr. Wafik H. Iskander and Dr. Feng Yang for being on my committee. I have been fortunate to have had the opportunity to ask for suggestions with all of my committee members, and their help has been essential to this project. Next, I would also like to thank the students in Dr. Zheng's research group with whom I've had the pleasure of working alongside. In particular, I would like to thank my colleague Yuping Huang, who has been a great help to me over the last two years. Finally, I would like to express my gratitude to my family. Their support seemingly has no limit, and has been much appreciated throughout my life.

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