scholarly journals Fundamental study on the influence of dynamic load and distributed energy resources on power system short-term voltage stability

Author(s):  
Aleksandar Boričić ◽  
Jose Luis Rueda Torres ◽  
Marjan Popov
2018 ◽  
Vol 16 (6) ◽  
pp. 30-41 ◽  
Author(s):  
Martin Braun ◽  
Johannes Brombach ◽  
Christian Hachmann ◽  
Dario Lafferte ◽  
Alexander Klingmann ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 75-91
Author(s):  
Qing Yang ◽  
Hao Wang ◽  
Taotao Wang ◽  
Shengli Zhang ◽  
Xiaoxiao Wu ◽  
...  

The advent of distributed energy resources (DERs), such as distributed renewables, energy storage, electric vehicles, and controllable loads, brings a significantly disruptive and transformational impact on the centralized power system. It is widely accepted that a paradigm shift to a decentralized power system with bidirectional power flow is necessary to the integration of DERs. The virtual power plant (VPP) emerges as a promising paradigm for managing DERs to participate in the power system. In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP. Specifically, users can interact with each other to trade energy for mutual benefits and provide network services, such as feed-in energy, reserve, and demand response, through the VPP. To respect the users’ independence and preserve their privacy, we design a decentralized optimization algorithm to optimize the users’ energy scheduling, energy trading, and network services. Then we develop a prototype blockchain network for VPP energy management and implement the proposed algorithm on the blockchain network. By experiments using real-world data trace, we validated the feasibility and e_ectiveness of our algorithm and the blockchain system. The simulation results demonstrate that our blockchain-based VPP energy management platform reduces the users’ cost by up to 38.6% and reduces the overall system cost by 11.2%.


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