Decentral Energy Control in a Flexible Production to Balance Energy Supply and Demand

Weckmann, Sebastian; Kuhlmann, Timm; Sauer, Alexander

doi:10.1016/j.procir.2016.11.212

Cited by 21 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the integrated large-scale PV system should be capable of controlling the active power to provide frequency support to the grid, control the reactive power to provide voltage support to the grid and possess the fault ride through capability during various disturbances. Without controlling the aforementioned, the grid will face new challenges in grid balancing, which affects the flexibility of the grid through the frequent mismatches between the supply and the demand in which matching the response of the supply to the demand becomes less predictable due to the integration of the large-scale PV systems into the transmission network of the grid [86]. Thus, to maintain the balance of the grid flexibility is essential on both the demand and supply sides, whereas the supply side flexibility can be achieved via energy storage, renewable energy curtailment and flexible generation while the demand side flexibility can be achieved via energy storage, demand response and smart loads [87].…”

Section: Technical Solutionsmentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

View full text Add to dashboard Cite

Decarbonisation, energy security and expanding energy access are the main driving forces behind the worldwide increasing attention in renewable energy. This paper focuses on the solar photovoltaic (PV) technology because, currently, it has the most attention in the energy sector due to the sharp drop in the solar PV system cost, which was one of the main barriers of PV large-scale deployment. Firstly, this paper extensively reviews the technical challenges, potential technical solutions and the research carried out in integrating high shares of small-scale PV systems into the distribution network of the grid in order to give a clearer picture of the impact since most of the PV systems installations were at small scales and connected into the distribution network. The paper reviews the localised technical challenges, grid stability challenges and technical solutions on integrating large-scale PV systems into the transmission network of the grid. In addition, the current practices for managing the variability of large-scale PV systems by the grid operators are discussed. Finally, this paper concludes by summarising the critical technical aspects facing the integration of the PV system depending on their size into the grid, in which it provides a strong point of reference and a useful framework for the researchers planning to exploit this field further on.

show abstract

Section: Technical Solutionsmentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

View full text Add to dashboard Cite

show abstract

“…This LAF can illustrate load characteristics in terms of quantity and quality. The LAF is also useful for estimating future electrical loads [7], [36], [37]. For the needs of daily electrical load estimation, the LAF covers the based demand, maximum demand, and peak load.…”

Section: Problem Statementmentioning

confidence: 99%

“…To be able to meet the needs of electrical energy continuously, it is a necessity to balance supply and demand sides. Thus, the power generated must always be equal to the power consumed by the electric power consumer [7]- [15]. Therefore, it is also necessary to estimate short-term electrical loads that can predict the need for the electrical usage.…”

Section: Introductionmentioning

confidence: 99%

Demand Forecasting Considering Actual Peak Load Periods Using Artificial Neural Network

Yuan¹,

Afandi²,

Putranto³

2018

EECSI

View full text Add to dashboard Cite

Presently, electrical energy consumption continues to increase from year to year. Therefore, a short-term load forecasting is required that electricity providers can deliver continuous electrical energy to electricity consumers. By considering the estimation of the electrical load, the scheduling plan for operation and allocation of reserves can be managed well by the supply side. This study is focused on a forecasting of electrical loads using Artificial Neural Network (ANN) method considering a backpropagation algorithm model. The advantage of this method is to forecast the electrical load in accordance with patterns of past loads that have been taught. The data used for the learning is Actual Peak Load Period (APLP) data on the 150 kV system during 2017. Results show that the best network architecture is structured for the APLP Day and Night. Moreover, the momentum setting and understanding rate are 0.85 and 0.1 for the APLP Day. In contrast, 0.9 and 0.15 belong to the APLP Night. Based on the best network architecture, the APLP day testing process generates Mean Squared Error (MSE) around 0.04 and Mean Absolute Percentage Error (MAPE) around 4.66%, while the APLP Night generates MSE in 0.16 and MAPE in 16.83%.

show abstract

“…This solution can not affect consumers. It concentrates on finding for each customer nearest supplier as described in [21]. By that energy expenses to match norms from [3] decreases significantly.…”

Section: Decentralizationmentioning

confidence: 99%

Smart Techniques’ Implementation for Small Entities and Central Power Grid in Almaty, Kazakhstan: Challenges and Possibilities

Nurpeissova

Panyukova

Nurpeissov

2018

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

With growth of renewable energy sources' use the uncertainty in power grids is increasing tremendously. Optimal control and the equipment dispatching become challenging task for both central supplier and power consumer. Implementation of smart approach gives opportunity to provide such control with less human resources and power losses. In the article recently used techniques for control and dispatching in central grid of Almaty is described. Beside that new smart control methods and their possibilities within power system of Kazakhstan are reviewed. As a result, best solutions for the power system's control in both small entities and central grid are proposed.

show abstract

Decentral Energy Control in a Flexible Production to Balance Energy Supply and Demand

Cited by 21 publications

References 7 publications

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Demand Forecasting Considering Actual Peak Load Periods Using Artificial Neural Network

Smart Techniques’ Implementation for Small Entities and Central Power Grid in Almaty, Kazakhstan: Challenges and Possibilities

Contact Info

Product

Resources

About