Penetration Of Photovoltaic Power Generation Research Articles

Innovative technology for large-scale photovoltaic consumption using reversible solid oxide cells

It is inevitable that renewable energy consumption will increase as installed capacity continues to increase, primarily wind and photovoltaic power generation. Power to Gas (P2G) technology can store electrical energy in the form of chemical energy on a large scale. Reversible solid oxide cell (RSOC) has a very high conversion efficiency in both electrolytic gas production and fuel cell power generation compared with traditional electricity-to-gas devices. For the future integrated energy system, Reversible solid oxide cells are expected to play a significant role in integrating power generation and energy storage. This work proposes a new integrated energy system based on Reversible solid oxide cell for photovoltaic (PV) consumption. The Integrated Electricity-Gas System (IEGS) considers the two modes of electrolysis and power generation of Reversible solid oxide cell in the model. The model takes the minimum running cost as the objective function to linearize part of the model to generate a mixed integer linearization problem and solve it in GAMS. The case study shows that wind power is maximized, and the gas mixture can be transported in natural gas pipelines, improving the economics and stability of Integrated Electricity-Gas System. This work not only can reduce the operating cost of the system but also increase the high penetration of photovoltaic power generation. A quantitative assessment of the impact of hydrogen injection ratio and renewable energy penetration was also carried out.

Public Data-driven Modeling of Residual Electricity Load due to High Penetration of Photovoltaic Power Generation in Various Distribution Networks

In order to realize effective asset management of a number of distribution networks, utilization status of individual network should be evaluated by taking into account not only the current status but also the future situation. As a first step for this purpose, this study proposes a model to estimate the 8760 hours time-series of residual electricity load due to the high penetration of photovoltaic power generation in arbitrary distribution network. The model is developed based on the publically available statistics such as the Grid-Square Statistics which is an integrated data base on population, number of employee, etc. in each 500 square meters area, dividing the whole area of Japan by latitude and the longitude. The aggregated electricity demand in each distribution network is calculated by determining the service territory based on map information. The accuracy of estimated demand for typical distribution networks is evaluated by comparing with the observed demand. As an example of application of proposed model, the residual load characteristics in the case of high penetration of photovoltaic power generation and increased electrification ratio of energy demand is evaluated for various distribution networks in the Chubu region, Japan.

Power Forecasting in Photovoltaic System using Hybrid ANN and Wavelet Transform based Method

Solar energy is a sustainable, renewable energy which is a part of latest industry standards of operation in line with industry 4.0. Solar power variability leads to fluctuation and uncertainty in Photovoltaic (PV) output power. It is a significant issue with regard to the high penetration of PV power generation. The solar irradiance is affected by weather conditions, and varies with geographical locations. Accurate PV power output forecasting is essential for the planning and scheduling alternate sources of conventional power. In this paper we propose a frequency domain approach for forecasting of short-term PV output power. The wavelet transform allows identification of periodic components with time localization, whereas the Artificial Neural Network (ANN) technique allows us to model the non-linearities in the PV time series. In this paper, PV power data for the city Bareilly, Uttar Pradesh is forecasted. Numerical simulations show that the proposed forecasting method for PV power output, shows a significant increase in accuracy over other similar methods. The root Mean Square Error, Mean Absolute Error for the proposed method are also calculated and compared with state-of-the art methods for PV power forecasting.

An Improved Constant Power Generation Algorithm for Photovoltaic Systems

High penetration of photovoltaic power generation will bring some new challenges to the grid, such as overvoltage and overload. To address these problems, a constant power generation (CPG) algorithm is proposed. However, the conventional CPG algorithm cannot balance tracking speed and accuracy. Therefore, an improved CPG algorithm with rapid tracking speed and high accuracy is proposed in this paper. Finally, the superiority of the algorithm is verified in simulation and experiments.

Security issues for mega penetration of photovoltaic power generation in future electric power systems. A case study of stability for power swing oscillation using the IEEJ WEST 10‐machine model

AbstractMega penetration of photovoltaic power generation (PV) will be introduced in future electric power systems, dealing with environmental problems such as global warming and energy exhaustion. The authors have pointed out that difficulties will arise in meeting the N‐1 security standard if increases in uncertainties cannot be avoided due to PV penetration. Thus, we have proposed a new concept of “robust power system security” together with several conditions to be satisfied in order to guarantee the N‐1 security standard under uncertainties. In this paper, (1) a model of uncertainties due to PV generation is proposed based on robust power system security; a method for proper parameter selection is also provided. Then, (2) the influence on the stability of the PV and load disconnection from the power system is studied through simulation using the model system; (3) the effect of PV fault ride‐through (FRT) on stability is investigated along with dynamic voltage support (DVS). Finally, it is shown that (4) complicated and burdensome tasks will be considerably increased in power system operation planning and real‐time operation under future circumstances by the mega penetration of PV. © 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 184(3): 1–13, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22391

Impact of Large Penetration of Photovoltaic Power Generation and Measures for Supply and Demand Operation Control

Impact of Large Penetration of Photovoltaic Power Generation and Measures for Supply and Demand Operation Control