Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

Pilz, Matthias; Al‐Fagih, Luluwah; Pfluegel, Eckhard

doi:10.20944/preprints201711.0069.v1

Cited by 4 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, internal short circuits and chemical reactions result in a self-discharge of the battery [40]. For the self-discharge of the battery a model as in [20] has been used:…”

Section: Storage Modelmentioning

confidence: 99%

“…Demand Side Management (DSM) has been implemented utilizing both load prediction and storage systems. Specifically, a dynamic game theory approach for DSM considering forecasting errors was presented in [16], with optimal battery sizing and advanced battery modelling discussed in [1] and [20]. This approach has the advantage of considering forecasting errors, utilizing and accurate battery model with loss modelling and using a quadratic cost function for energy pricing, however it does not consider any methods for reduction of forecasting errors as well as it does not consider grid distortion minimization as an objective in the cost function.…”

Section: Introductionmentioning

confidence: 99%

“…modelling the statistical variance of the renewable energy sources. The proposed solution is presented as non-linear optimization problem in closed form under consideration of an advanced storage model similarly to [20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages

2021

View full text Add to dashboard Cite

Energy storage systems will play a key role in the establishment of future smart grids. Specifically, the integration of storages into the grid architecture serves several purposes, including the handling of the statistical variation of energy supply through increasing usage of renewable energy sources as well as the optimization of the daily energy usage through load scheduling. This article is focusing on the reduction of the grid distortions using non-linear convex optimization. In detail an analytic storage model is used in combination with a load forecasting technique based on socio-economic information of a community of households. It is shown that the proposed load forecasting technique leads to significantly reduced forecasting errors (relative reductions up-to 14.2%), while the proposed storage optimization based on non-linear convex optimizations leads to 12.9% reductions in terms of peak to average values for ideal storages and 9.9% for storages with consideration of losses respectively. Furthermore, it was shown that the largest improvements can be made when storages are utilized for a community of households with a storage size of 4.6-8.2 kWh per household showing the effectiveness of shared storages as well as load forecasting for a community of households.

show abstract

“…Furthermore, internal short circuits and chemical reactions result in a self-discharge of the battery [40]. For the self-discharge of the battery a model as in [20] has been used:…”

Section: Storage Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages

2021

View full text Add to dashboard Cite

show abstract

An Optimized Algorithm and Test Bed for Improvement of Efficiency of ESS and Energy Use

2018

Electronics

View full text Add to dashboard Cite

The Republic of Korea (ROK) has four distinct seasons. Such an environment provides many benefits, but also brings some major problems when using new and renewable energies. The rainy season or typhoons in summer become the main causes of inconsistent production rates of these energies, and this would become a fatal weakness in supplying stable power to the industries running continuously, such as the aquaculture industry. This study proposed an improvement plan for the efficiency of Energy Storage System (ESS) and energy use. Use of sodium-ion batteries is suggested to overcome the disadvantages of lithium-ion batteries, which are dominant in the current market; a greedy algorithm and the Floyd–Warshall algorithm were also proposed as a method of scheduling energy use considering the elements that could affect communication output and energy use. Some significant correlations between communication output and energy efficiency have been identified through the OPNET-based simulations. The simulation results showed that the greedy algorithm was more efficient. This algorithm was then implemented with C-language to apply it to the Test Bed developed in the previous study. The results of the Test Bed experiment supported the proposals.

show abstract

Iterative Auction for P2P Renewable Energy Trading with Dynamic Energy Storage Management

2020

View full text Add to dashboard Cite

In this paper, a peer-to-peer (P2P) renewable energy trading mechanism for microgrids when energy suppliers are equipped with storage devices is studied. A dynamic energy storage management strategy based on the local trading price is proposed and each supplier decides the amount of energy to be sold and stored in real time. An iterative auction algorithm is presented to obtain the market equilibrium and optimal energy allocation schedule. The economic analysis of introducing energy storage devices in this trading market is further studied. Numerical examples of two 7 × 24-h energy trading scenarios with 20 consumers and 20 solar energy producers are used to illustrate the feasibility of this proposed trading mechanism, with sensitivity analysis of different parameters on social welfare. A comparison of the hourly optimal local trading price of these two markets is demonstrated to explain the dynamic process. It is found that in those days with high solar radiation, compared with the market with no storage device, the total cost for buyers in the market when storage devices are used shows a decline of 1.52% and the total profit for sellers shows an increase of 1.27%, which leads to a substantial relative improvement of 118.94% in the overall social welfare. Moreover, a brief economic analysis shows that the advantage of using energy storage in this example is guaranteed after five years of operation. Longer operation time does not mean more benefits considering the deterioration of battery packs and increase of operation and maintenance costs, and the profit reaches its maximum value at the 15th year.

show abstract

Energy Storage Scheduling with an Advanced Battery Model: A Game–Theoretic Approach

Cited by 4 publications

References 12 publications

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages

Reducing Grid Distortions Utilizing Energy Demand Prediction and Local Storages

An Optimized Algorithm and Test Bed for Improvement of Efficiency of ESS and Energy Use

Iterative Auction for P2P Renewable Energy Trading with Dynamic Energy Storage Management

Contact Info

Product

Resources

About