Taegon Oh

Probabilistic reliability evaluation of composite power systems including wind turbine generators

This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.

Probabilistic Reliability Evaluation of Composite Power Systems Including Wind Turbine Generators

AbstractThis paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.

Probabilistic reliability criterion for expansion planning of grids including wind turbine generators

This paper describes an alternative method, derived from a simulation model, for expansion planning for grids considering wind turbine generators in a composite power system. The proposed model includes capacity limitations and uncertainties of the generators and transmission lines. It proposes to handle the uncertainties of system elements (generators, lines, transformers and wind resources of WTG, etc.) by a Composite power system Equivalent Load Duration Curve (CMELDC)-based model considering wind turbine generators (WTG). The model is derived from a nodal equivalent load duration curve based on an effective nodal load model including WTGs. A heuristic scenario is used to choose the optimal solution among various scenarios featuring new candidate lines. The characteristics and effectiveness of this simulation model are illustrated by several case studies using an 8-bus test system.

Generators maintenance scheduling using combined fuzzy set theory and GA

The maintenance of generating units is implicitly related to power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm (GA) is proposed for generator maintenance scheduling. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

Evaluation of economic impacts of wind turbine and solar cell generators on power system considering CO 2 emission

Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass among others are becoming more important because of increasingly restricted environmental constraints. This paper develops an algorithm for probabilistic reliability and production cost credit evaluation of a power system added wind turbine(WTG) and solar cell generators (SCG) with multi-state considering CO2 emission. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed for modeling wind turbine and solar cell generators due to the random variation of wind speed and solar radiation. This paper presents a method suited for the purpose of reliability and production cost evaluation study on a power system with wind turbine or solar cell generators. Test results indicate the viability of the method.

Generator maintenance scheduling considering minimization of CO 2 emissions

This paper proposes a generator maintenance scheduling (GMS) problem with due consideration of minimizing CO2 emissions. The conventional objectives such as leveling the reserve rate, maximizing reliability and minimizing production cost have been effectively dealt with in the GMS problem until now. This paper considers minimizing CO2 emission as an additional objective in the GMS problem, where the CO2 emission is evaluated by using CO2 emission unit cost. The practicality and effectiveness of the proposed approach are demonstrated in the simulation for a real-size power system model in Korea in 2010.

Establishment of Generator Maintenance Scheduling Considering Minimization of CO 2 Emissions

This paper proposes establishment of generator maintenance scheduling(GMS) considering minimization of emissions. The objective function model to minimize emissions is used in this paper. In this paper, and also, GMS is established due to freedom of GMS of generators owned by a designated generation company. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system model in Korea in 2010.

A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm

The maintenance of generating units is implicitly related with power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm(GA) is proposed for generator maintenance scheduling. The genetic algorithm(GA) is expected to make up for that fuzzy search method might search the local solution. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

Web Based Online Real-time Information System for Reliability of Electrical Energy Supply including WTG

AbstractWeb based online real-time reliability integrated information system is asked rapidly for more efficiency and demand response in recent. As the utilization of renewable resources has been receiving considerable attention in recent years, the information system requirement is increased. Specially, the reliability information system is more important for implementing the smart grid. This paper describes architecture of the WORRIS(Web Based Online Real-time Reliability Integrated Information System) Version 1.0 system developed preliminarily in this study. It is originally a reliability information system based one day go ahead system.

Grid expansion planning considering probabilistic production and congestion costs based on nodal effective load model

This paper describes an alternative method for grid expansion planning considering construction cost, probabilistic production cost, congestion cost and outage cost of a grid at a composite power system derived from a simulation model. In this paper, a heuristic scenario method is proposed to choose the least cost solution (scenario) among various scenarios cosidering candidate new lines. The characteristics and effectiveness of this simulation model are illustrated by the several case studies on a 21-bus test system.