Multi-Stage Quadratic Flexible Optimal Power Flow with a Rolling Horizon

2021 ◽  
pp. 1-1
Author(s):  
Chiyang Zhong ◽  
A. P. Sakis Meliopoulos ◽  
Boqi Xie ◽  
Jiahao Xie ◽  
Kaiyu Liu
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Rolling Horizon ◽  
Optimal Power ◽  
Multi Stage

scholarly journals Optimal power flow: an introduction to predictive, distributed and stochastic control challenges

2018 ◽  
Vol 66 (7) ◽  
pp. 573-589 ◽  
Author(s):  
Timm Faulwasser ◽  
Alexander Engelmann ◽  
Tillmann Mühlpfordt ◽  
Veit Hagenmeyer
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problems ◽  
Optimal Power ◽  
Open Questions ◽  
Multi Stage ◽  
Systems And Control ◽  
Control Community ◽  
And Control

Abstract The Energiewende is a paradigm change that can be witnessed at latest since the political decision to step out of nuclear energy. Moreover, despite common roots in Electrical Engineering, the control community and the power systems community face a lack of common vocabulary. In this context, this paper aims at providing a systems-and-control specific introduction to optimal power flow problems which are pivotal in the operation of energy systems. Based on a concise problem statement, we introduce a common description of optimal power flow variants including multi-stage problems and predictive control, stochastic uncertainties, and issues of distributed optimization. Moreover, we sketch open questions that might be of interest for the systems and control community.

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power

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.

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