Jeongje Park

A probabilistic reliability evaluation of a power system including Solar/Photovoltaic cell generator

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. Production of electrical energy using solar energy falls next to wind energy among all renewable energy sources. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed for modeling solar/photovoltaic cell generators due to the random variation of solar radiation. This makes the method of finding reliability evaluation indices of solar cell generators different from the conventional generators. This paper presents a method suited for the purpose and presents details of a reliability evaluation study on a power system with solar cell generators. Test results indicate the viability of the method.

Probabilistic reliability evaluation of power systems including wind turbine generators using a simplified multi-state model: A case study

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 of such sources to produce electrical energy. Because of the randomness of wind speed, the two-state model used for modeling conventional generator is not suited for modeling wind turbine generators(WTG). Although it is more complex and large, a multi-stage model is better suited in this case. This paper presents a simplified multi-state model and test results, which indicate its effectiveness for the WTG. Case study using the Jeju Island power system in Korea as an example shows how it is used to perform a reliability evaluation study of an actual power system

Probabilistic Reliability Evaluation of Power Systems Including Wind Turbine Generators Considering Wind Speed Correlation

The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind power is one of the most successfully utilized of such sources to produce electrical energy. Because of the randomness of wind speed, the reliability impact on this highly variable energy power is important aspect that needs to be assessed. In this paper, the impact on the reliability indices of wind speed correlation between two farms is considered.

Assessment of CO 2 reduction by renewable energy generators

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. Production of electrical energy using solar energy falls next to wind energy among all renewable energy sources. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed for modeling solar/photovoltaic cell generators due to the random variation of solar radiation. This makes the method of finding reliability evaluation indices of solar cell generators different from the conventional generators. This paper presents a method suited for the purpose and presents details of a reliability evaluation study on a power system with solar cell generators. Test results indicate the viability of the method.

A study on wind speed prediction using artificial neural network at Jeju Island in Korea

The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind power is one of the most successfully utilized of such sources to produce electrical energy. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. This paper proposes to use the two-layered artificial neural networks for predicting the actual wind speed from the previous values of the same variable.

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 Based Grid Expansion Planning of Power System Including Wind Turbine Generators

This paper proposes a new methodology for evaluating the probabilistic reliability based grid expansion planning of composite power system including the Wind Turbine Generators. 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. Several scenarios are used to choose the optimal solution among various scenarios featuring new candidate lines. The characteristics and effectiveness of this simulation model are illustrated by case study using Jeju power system in South Korea.

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.

Web based online realtime information system for reliability of composite power system 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. Furthermore, web based online real-time reliability integrated information system (WORRIS) was developed with the proposed methodology in this paper. This paper describes architecture of the WORRIS Version 1.0 system developed preliminarily in this study. It is originally a reliability information system based one day go ahead system.

New efficient reserve rate index of power system including renewable energy generators

This paper proposes a new effective installed reserve rate in order to evaluate reliability of power system considering renewable energy generators(REGs), which include uncertainty of resource supply. It is called EIRR(effective installed reserve rate) in this paper. It is developed with considering capacity credit based on ELCC(Effective Load Carrying Capability) by using LOLE reliability criterion. While the conventional installed reserve rate index yields over-evaluation reliability of renewable generators, the proposed EIRR describes actual effective installed reserve rate. However, it is not the probabilistic reliability index as like as LOLE or EENS but another deterministic effective reliability index. The proposed EIRR is able to evaluate the realistic contribution to the reliability level for power system considering wind turbine generators and solar cell generators with high uncertainty in resource supply. The case study in model system as like as Jeju power system size in South Korea presents a possibility that the proposed EIRR can be used practically as a new deterministic reliability index for generation expansion planning or operational planning in future.