scholarly journals A Comprehensive Energy Optimized Operation Strategy Based on Energy Storage Model

2021 ◽  
Author(s):  
Bi-yan Ma ◽  
Xiao-dan Zhang ◽  
Hao-jie Zhou
Keyword(s):  
Energy Storage ◽  
Operation Strategy ◽  
Distributed Resources ◽  
Storage Model ◽  
Unified Modeling ◽  
Status Monitoring ◽  
Economic Operation ◽  
Central Air Conditioning ◽  
Local Solutions ◽  
Operation Scheduling

The unified modeling of distributed resources in comprehensive energy parks is the basis to achieving energy scheduling. This article first analyzed the key modeling elements of the energy storage model, the conversion of central air conditioning and ice storage to the energy storage model was completed. Finally, based on the unified energy storage model in combination with the time-of-use electricity prices and load conditions of the park, the local economic operation strategy of distributed resources was realized. The energy storage model and local operation strategy were used as the edge computing of the energy management gateway, which realized the real-time status monitoring and economic operation scheduling of the comprehensive energies. This study provides local solutions for the economic operation of comprehensive energy parks.

scholarly journals Optimized Economic Operation Strategy for Distributed Energy Storage with Multi-Profit Mode

IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Peng Peng ◽  
Yongqi Li ◽  
Dinglin Li ◽  
Yuda Guan ◽  
Ping Yang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Operation Strategy ◽  
Distributed Energy ◽  
Economic Operation ◽  
Distributed Energy Storage ◽  
Profit Mode

Designing the Electricity Market with Energy Storage Devices

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Storage Systems ◽  
Energy System ◽  
Energy Storage Systems ◽  
Storage Model ◽  
Optimal Power ◽  
Wide Range

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.

scholarly journals Design Framework for Privacy-Aware Demand-Side Management with Realistic Energy Storage Model

2021 ◽  
pp. 1-1
Author(s):  
Ramana R. Avula ◽  
Jun-Xing Chin ◽  
Tobias J. Oechtering ◽  
Gabriela Hug ◽  
Daniel Mansson
Keyword(s):  
Energy Storage ◽  
Demand Side Management ◽  
Design Framework ◽  
Demand Side ◽  
Storage Model

Evaluation of Commercial Building Clusters With Energy Storage to Reduce Reliance on Electrical Utility Grids

2021 ◽  
Author(s):  
Gregory Kaminski ◽  
Philip Odonkor
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Energy Resource ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Commercial Building ◽  
Distributed Energy ◽  
Distributed Resources ◽  
And Storage

Abstract The decreasing cost of implementation and increasing regulatory incentive to lower energy use have led to an increased adoption of distributed energy resources in recent years. This increased adoption has been further fueled by a surge in energy consciousness and the expansion of energy-saving products and technologies. To lower reliance on the electrical grid and fully realize the benefits of distributed energy resources, many consumers have also elected to use battery systems to store generated energy. For owners of multiple buildings, or multiple owners willing to share the operational cost, building clusters may be formed to more effectively take advantage of these distributed resources and storage systems. The implementation of these systems in existing buildings introduces the question of what makes a “good” building cluster. Furthermore, the scalable nature of distributed energy sources and storage systems create countless possibilities for system configuration. Through comparison of unique two-building clusters from a stock of five buildings with a given distributed energy resource (in this case, a solar photovoltaic panel array) and energy storage system, we develop a fundamental understanding of the underlying factors that allow building clusters to be less reliant on the utility grid and make better use of energy generation and storage systems.

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