Reducing the Number of Control Actions in the Discrete Reactive Optimal Power Flow

2020 ◽  
Vol 18 (10) ◽  
pp. 1666-1674
Author(s):  
Marina Valenca Alencar ◽  
Edilaine Martins Soler ◽  
Leonardo Nepomuceno ◽  
Antonio Roberto Balbo ◽  
Edmea Cassia Baptista
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Control Actions ◽  
Optimal Power

Preventive Security-Constrained Optimal Power Flow with Constraints Limiting the Number of Beforehand Control Actions

2013 ◽  
Vol 341-342 ◽  
pp. 1429-1433
Author(s):  
Yu De Yang ◽  
Le Qi ◽  
Wei Wei
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Standard Test ◽  
Interior Point Algorithm ◽  
System Operation ◽  
Control Actions ◽  
Optimal Power ◽  
Proposed Model ◽  
Minimum Number ◽  
New Formulation

This paper proposes a new formulation of the preventive security-constrained optimal power flow (PSCOPF) which considers the constraints limiting the number of beforehand control actions and provides an approach to convert the proposed model to a nonlinear programming (NLP) which is more tractable by implementing an interior point algorithm (IPA). The proposed model and approach are illustrated on two standard test systems of IEEE-30 and IEEE-118. The results clearly indicate the system operation state can be changed from a given operation point to a PSCOPF satisfied operation point by exerting beforehand control actions in specified number. Furthermore, a minimum number of control actions can be obtained through this new formulation.

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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