Optimal operations of energy storage systems in multi‐application scenarios of grid ancillary services based on electricity price forecasting

2020 ◽  
Author(s):  
Xiaojuan Han ◽  
Zhenpeng Hong ◽  
Yu Su ◽  
Zuran Wang
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Ancillary Services ◽  
Electricity Price ◽  
Price Forecasting ◽  
Energy Storage Systems ◽  
Electricity Price Forecasting

scholarly journals Optimal Scheduling of a Residential Energy Prosumer Incorporating Renewable Energy Sources and Energy Storage Systems in a Day-ahead Energy Market

2021 ◽  
Author(s):  
Hui Huang ◽  
Wenyuan Liao ◽  
Hesam Parvaneh
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Optimal Operation ◽  
Electricity Price ◽  
Optimal Scheduling ◽  
Energy Sources ◽  
Price Forecasting ◽  
Energy Storage Systems

Due to the world rapid population growth, the need for energy is accelerated especially in the residential sector. One of the most efficient ways of responding to energy demand is the utilisation of energy prosumers (EPs). EPs are able to consume and produce energy by using renewable energy sources (RESs) and energy storage systems (ESSs). In this paper,  optimal scheduling and operation of a residential EP is proposed considering electricity price forecasting. A hybrid adaptive network-based fuzzy inference system (ANFIS)-genetic algorithm (GA) model is proposed for day-ahead price forecasting. Then, forecasted price values are applied to a real-world EP test system. It is revealed that the proposed hybrid ANFIS-GA model can forecast electricity prices properly. However, due to the high linearity of price patterns, the proposed algorithm was not able to accurately forecast peak-prices. Based on the results, the optimal operation of ESSs is affected by the uncertainty of electricity price.

scholarly journals Sizing and Management of Energy Storage Systems in Large-Scale Power Plants Using Price Control and Artificial Intelligence

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3296
Author(s):  
Carlos García-Santacruz ◽  
Luis Galván ◽  
Juan M. Carrasco ◽  
Eduardo Galván
Keyword(s):  
Energy Storage ◽  
Power Plants ◽  
Large Scale ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Ancillary Services ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Electric System ◽  
Fundamental Part

Energy storage systems are expected to play a fundamental part in the integration of increasing renewable energy sources into the electric system. They are already used in power plants for different purposes, such as absorbing the effect of intermittent energy sources or providing ancillary services. For this reason, it is imperative to research managing and sizing methods that make power plants with storage viable and profitable projects. In this paper, a managing method is presented, where particle swarm optimisation is used to reach maximum profits. This method is compared to expert systems, proving that the former achieves better results, while respecting similar rules. The paper further presents a sizing method which uses the previous one to make the power plant as profitable as possible. Finally, both methods are tested through simulations to show their potential.

Electricity Price Forecasting for Operational Scheduling of Behind-the-Meter Storage Systems

2018 ◽  
Vol 9 (6) ◽  
pp. 6612-6622 ◽  
Author(s):  
Hamed Chitsaz ◽  
Payam Zamani-Dehkordi ◽  
Hamidreza Zareipour ◽  
Palak P. Parikh
Keyword(s):  
Storage Systems ◽  
Electricity Price ◽  
Price Forecasting ◽  
Electricity Price Forecasting

Robust Particle Swarm Optimization for Active/Reactive and Reserve Scheduling in a Grid-connected Microgrid With Energy Storage Systems

2021 ◽  
Author(s):  
Ali Rasouli ◽  
Mehdi Bigdeli ◽  
Abouzar Samimi
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Storage ◽  
Social Welfare ◽  
Objective Function ◽  
Optimization Model ◽  
Storage Systems ◽  
Ancillary Services ◽  
Energy Resources ◽  
Energy Storage Systems ◽  
Swarm Optimization

Abstract Background: In recent years, simultaneous participation in electrical energy and ancillary services markets has been very profitable for distributed energy resources (DERs). Moreover, the presence of renewable generations along with energy storage systems (ESS) is bringing a significant contribution to modern distribution systems. High penetration of non-predictable power sources in microgrids (MGs), due to the uncertainties of these products, increases the need for ancillary services and the management and coordination of these technologies combined with the ESSs. Results: For the first time, this paper develops a robust particle swarm optimization model to handle the uncertain renewable power production involved in the joint active/reactive and reserve scheduling of a smart MG. The robust optimization approach has a medium priority compared to deterministic and stochastic ones. The objective function utilized for the optimal joint active/reactive and reserve scheduling of an MG is defined as maximizing social welfare, which is accomplished based on a max-min optimization model. The robust optimal solution can be achieved in such a way that the maximizer at the outer level makes an optimal decision against the worst-case objective function, which is acquired based on the minimizer at the inner level considering the uncertainty neighborhood. Conclusions: The effectiveness of the proposed method is examined on a 33-bus MG test system. Simulation results prove that the proposed RPSO model can help MG operators to reduce scheduling costs to obtain a higher social welfare. The consideration of more uncertainty in renewable energy resources production leads to higher operation costs, especially reserve costs. Integration of robustness against uncertainty in the joint active/reactive and reserve management in the smart MGs leads to a more robust operation at the expense of higher costs.

scholarly journals Evaluation of ancillary services in distribution grid using large‐scale battery energy storage systems

2020 ◽  
Vol 14 (19) ◽  
pp. 4216-4222
Author(s):  
M. Mahesh ◽  
D. Vijaya Bhaskar ◽  
T. Narsa Reddy ◽  
P. Sanjeevikumar ◽  
Jens Bo Holm‐Nielsen
Keyword(s):  
Energy Storage ◽  
Large Scale ◽  
Storage Systems ◽  
Ancillary Services ◽  
Distribution Grid ◽  
Energy Storage Systems ◽  
Battery Energy Storage ◽  
Battery Energy Storage Systems ◽  
Battery Energy

scholarly journals Coordinated Operation of Energy Storage Systems for Distributed Harmonic Compensation in Microgrids

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 771
Author(s):  
Abbas Marini ◽  
Luigi Piegari ◽  
S-Saeedallah Mortazavi ◽  
Mohammad-S Ghazizadeh
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Ancillary Services ◽  
Energy Storage Systems ◽  
Nonlinear Loads ◽  
Harmonic Compensation ◽  
Harmonic Currents ◽  
Proposed Model ◽  
Flexible Operation ◽  
Harmonic Filtering

Energy storage systems (ESSs) bring various opportunities for a more reliable and flexible operation of microgrids (MGs). Among them, energy arbitrage and ancillary services are the most investigated application of ESSs. Furthermore, it has been shown that some other services could also be provided by ESSs such as power quality (PQ) improvements. This issue could be more challenging in MGs with widespread nonlinear loads injecting harmonic currents to the MG. In this paper, the feasibility of ESSs to act as coordinated active harmonic filters (AHF) for distributed compensation was investigated. An optimization model was proposed for the coordination of the harmonic compensation activities of ESSs. The model takes into account the various technical and systematic constraints to economically determine the required reference currents of various AHFs. Simulation cases showed the performance of the proposed model for enhancing the harmonic filtering capability of the MG, reduction in the compensation cost, and more flexibility of the distributed harmonic compensation schemes. It was also shown that ESS activities in harmonic compensation do not have much of an effect on the ESSs revenue from energy arbitrage. Hence, it could make ESSs more justifiable for use in MGs.

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