Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant

The high penetration level of renewable energy is thought to be one of the basic characteristics of future smart grids. Wind power, as one of the most increasing renewable energy, has brought a large number of uncertainties into the power systems. These uncertainties would require system operators to change their traditional ways of decision-making. This article provides a comprehensive survey of computational intelligence techniques for wind power uncertainty quantification in smart grids. First, prediction intervals (PIs) are introduced as a means to quantify the uncertainties in wind power forecasts. Various PI evaluation indices, including the latest trends in comprehensive evaluation techniques, are compared. Furthermore, computational intelligence-based PI construction methods are summarized and classified into traditional methods (parametric) and direct PI construction methods (nonparametric). In the second part of this article, methods of incorporating wind power forecast uncertainties into power system decision-making processes are investigated. Three techniques, namely, stochastic models, fuzzy logic models, and robust optimization, and different power system applications using these techniques are reviewed. Finally, future research directions, such as spatiotemporal and hierarchical forecasting, deep learning-based methods, and integration of predictive uncertainty estimates into the decision-making process, are discussed. This survey can benefit the readers by providing a complete technical summary of wind power uncertainty quantification and decision-making in smart grids.

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

Day-ahead wind power forecasting based on the clustering of equivalent power curves

https://backend.orbit.dtu.dk/ws/files/205972224/Journal_paper_Ana_Turk_REVISION_2_no_marks.pdf

Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing

During the last decades, thanks to supportive policies of countries and a decrease in installation costs, total installed capacity of wind power has increased rapidly all around the world. The uncertain and variable nature of wind power has been a problem for transmission system operators and wind power plant owners. To solve this problem, numerous wind power forecast systems have been developed. Unfortunately none of them can obtain absolutely accurate forecasts yet. Thus, researchers assumed that wind power generation is a stochastic process and they proposed a stochastic programming approach to solve problems arising from the uncertainty of wind power. It is well known that representing stochastic process by possible scenarios is a major issue in the stochastic programming approach. Large numbers of scenarios can represent a stochastic process accurately, but it is not easy to solve a stochastic problem that contains a large number of scenarios. For this reason scenario reduction methods have been introduced. Finally, the quality of this reduced scenario set must be at an acceptable level to use them in calculations. All of these reasons have encouraged authors to develop a wind power scenario tool that can generate and reduce the scenario set and test the quality of it. The developed tool uses historical data to model wind forecast errors. Scenarios are generated around 24 day-ahead point wind power forecasts. A fast forward reduction algorithm is used to reduce the scenario set. Two metrics are proposed to assess the quality of the reduced scenario set. Site measurements are used to test the developed wind power scenario tool. Results showed that the tool can generate and reduce the scenario set successfully and the proposed metrics are useful to assess the quality.

/pdf/a-day-ahead-wind-power-scenario-generation-reduction-and-3znresgbbe.pdf

A Day-Ahead Wind Power Scenario Generation, Reduction, and Quality Test Tool

Original scientific paper It is well-known that shunt active power filter (SAPF) is widely used to reduce harmonic distortion and to compensate reactive power in electrical power systems. DC bus voltage control of SAPF is very important for excellent power quality. In the control of SAPF, DC bus voltage is controlled by conventional control methods such as PI and PID controllers. However, these controllers cannot give good results under transient and steady state conditions. Robust and intelligent controllers are required in order to improve performance of SAPF. In this paper, interval type-2 fuzzy logic system (T2FLS) that does not require mathematical model to be controlled system is preferred for control of DC bus voltage of SAPF and compared with type-1 fuzzy logic system (T1FLS). SAPF structures with both controllers are designed and simulated using MATLAB /Simulink environment. Simulation results have shown that SAPF structure with proposed controller has superior features than T1FLS in terms of fixed DC bus voltage, total harmonic distortion and power quality.

Robust control of shunt active power filter using interval type-2 fuzzy logic controller for power quality improvement

One of the most studied and funded renewable energy sources is solar energy, all over the world. Solar panels are used to obtain electrical energy from the sun. They should be used effectively due to their expensive structure and challenging installation. However, as the sun light only reaches to the earth during daylight hours, solar systems cannot generate active power during the night, or in cases where daylight is not enough, the whole power capacity of the solar inverters have not been used. In this study; it was shown that in addition to the active power generation during the daytime hours, the solar systems were able to generate reactive power with the remaining capacity of the inverter. Thereby adjusting the grid voltage was provided by the solar system’s reactive power control. Designed solar system generates completely reactive power at nights. Thus, the efficiency of the solar systems has been increased by ensuring that the solar systems have used to keep the grid voltage within the values, which stated in the standards, by producing reactive power as well as active power. Matlab/Simulink was used to model the system when using hysteresis band method for system control.

/pdf/active-reactive-power-control-of-grid-tied-solar-energy-1pcrd8n7vn.pdf

Active-Reactive Power Control of Grid-Tied Solar Energy Systems, Using Multi-Parameter Band Control for Grid Voltage Regulation

Gun gectikce artan insan nufusuna paralel olarak elektrik enerjine olan ihtiyac da artis gostermektedir. Artan bu elektrik enerjisi gereksinimini karsilamak icin geleneksel enerji kaynaklarina ek olarak alternatif enerji kaynaklari da son yillarda sikca kullanilir hale gelmistir. Bu alternatif enerji kaynaklari kullanilarak elektrik enerjisi elde eden sistemlere gunes enerji santralleri (GES), ruzgar enerji santralleri (RES) ve hidro elektrik santrallerin (HES) ornek olarak verilebilir. Enerji ihtiyacina ek olarak; harmonik, gerilim cokmesi, gerilim yukselmesi, fliker gibi uretilen enerjinin kalitesini temsil eden parametreler de artan teknolojiyle birlikte daha sik gorulmekte ve onem arz etmektedir. Bu calismada ise; bir GES’in sebekeye baglandigi noktanin OG tarafindan bir sebeke analizoru vasitasiyla olcumler alinmis ve alinan bu veriler harmonik bozulma ve fliker acisindan incelenmistir. Bu incelemeler sonunda sebekede var olan tekil harmoniklerin sinir degerlerin altinda kaldigi, akima ait THB’nin belli zamanlarda kisa sureligine sinir degerleri astigi ve gerilime ait THB’nin gun boyunca siniri astigi gorulmustur. Fliker siddetinin ise genel olarak sinir degerler icinde kaldigi gorulmustur.

/pdf/bir-gunes-enerji-santralinin-elektrik-sebekesindeki-guc-34y9q69w9x.pdf

Bir Güneş Enerji Santralinin Elektrik Şebekesindeki Güç Kalitesi Parametrelerine Etkisinin İncelenmesi

Each passing day the use of power electronics based components have been increased because of rising the human's quality of life and development of technology. The increased use of these elements have been caused corruptions over the electricity power systems and thus it affects negatively the energy quality over power systems. Two parameters of power quality are harmonics and flicker. In this work; the measurements were taked the transformer’s low voltage side which feed buildings of faculty of forest and rectorship where in Avsar Campus of Kahramanmaras Sutcu Imam University by means of network analyzer. The figures which were formed through these measurement’s data were interpreted in terms of harmonics and flicker and necessary solutions were offered.

/pdf/power-quality-analysis-of-a-campus-field-case-study-for-3q7se265ao.pdf

Mustafa Tekin

Papers

A Day-Ahead Wind Power Scenario Generation, Reduction, and Quality Test Tool

Robust control of shunt active power filter using interval type-2 fuzzy logic controller for power quality improvement

Active-Reactive Power Control of Grid-Tied Solar Energy Systems, Using Multi-Parameter Band Control for Grid Voltage Regulation

Bir Güneş Enerji Santralinin Elektrik Şebekesindeki Güç Kalitesi Parametrelerine Etkisinin İncelenmesi

Power Quality Analysis Of A Campus Field: Case Study For Avşar Campus Of Kahramanmaraş Sütçü İmam University