A decomposition approach to multi-region optimal power flow in electricity networks

Author(s):  
Georgios C. Chasparis ◽  
Anders Rantzer ◽  
Kurt Jornsten
2010 ◽  
Vol 34-35 ◽  
pp. 785-789
Author(s):  
Qing Ran Wang ◽  
Li Zi Zhang

In order to adapt to the current multi-level dispatching management system and to promote the operational efficiency of interconnected electricity networks, this paper proposes a decomposition collaborative model based on optimal power flow theory. The model is a quadratic programming question used to solve optimal power flow model. The information of interchanging between regions is communication price and boundary nodal bus phase angle. IEEE 30-bus test system demonstrates the validity and novelty of the model that the regional network can be calculated reasonably and the development of cross-regional electricity transaction is promoted effectively.


Author(s):  
Nils Schween ◽  
Philipp Gerstner ◽  
Nico Meyer-Hübner ◽  
Viktor Slednev ◽  
Thomas Leibfried ◽  
...  

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  

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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