Assessment of a Multiperiod Optimal Power Flow for Power System Operation

Today, the power system operation represents a challenge given the security and reliability requirements. Mathematical models are used to represent and solve operational and planning issues related with electric systems. Specifically, the AC optimal power flow (ACOPF) and the DC optimal power flow (DCOPF) are tools used for operational and planning purposes. The DCOPF versions correspond to lineal versions of the ACOPF. This is due to the fact that the power flow solution is often hard to obtain with the ACOPF considering all constraints. However, the simplifications use only active power without considering reactive power, voltage values and losses on transmission lines, which are crucial factors for power system operation, potentially leading to inaccurate results. This paper develops a detailed formulation for both DCOPF and ACOPF with multiple generation sources to provide a 24-h dispatching in order to compare the differences between the solutions with different scenarios under high penetration of wind power. The results indicate the DCOPF inaccuracies with respect to the complete solution provided by the ACOPF.

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Multi-objective optimal power flow model for power system operation dispatching

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) ◽

10.1109/appeec.2013.6837208 ◽

2013 ◽

Cited By ~ 2

Author(s):

Shuwen Tan ◽

Shunjiang Lin ◽

Liuqing Yang ◽

Anqi Zhang ◽

Weiwei Shi ◽

...

Keyword(s):

Power System ◽

Power Flow ◽

Optimal Power Flow ◽

Flow Model ◽

System Operation ◽

Power System Operation ◽

Multi Objective ◽

Optimal Power

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Considerations in Applying Optimal Power Flow to Power System Operation

IEEE Power Engineering Review ◽

10.1109/mper.1989.4310711 ◽

1989 ◽

Vol 9 (5) ◽

pp. 67-68

Author(s):

Ebrahim Vaahedi ◽

H. Magdy Zein El-Din

Keyword(s):

Power System ◽

Power Flow ◽

Optimal Power Flow ◽

System Operation ◽

Power System Operation ◽

Optimal Power

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A Solution to Multi Objective Optimal Power Flow Using Hybrid Cultural-Based Differential Evolution

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.457-458.1236 ◽

2013 ◽

Vol 457-458 ◽

pp. 1236-1240

Author(s):

Isaree Srikun ◽

Lakkana Ruekkasaem ◽

Pasura Aungkulanon

Keyword(s):

Differential Evolution ◽

Power Flow ◽

Optimal Power Flow ◽

Test System ◽

System Operation ◽

Power System Operation ◽

Multi Objective ◽

Optimal Power ◽

Generation Cost ◽

And Control

This paper presents a hybrid Cultural-based Differential Evolution for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control . The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Cultural-based Differential Evolution is more effective than other swarm intelligence methods in the literature.

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Multi-Objective Optimal Power Flow Solutions Using Differential Search Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1077.241 ◽

2014 ◽

Vol 1077 ◽

pp. 241-245

Author(s):

Isaree Srikun

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Search Algorithm ◽

Test System ◽

System Operation ◽

Power System Operation ◽

Multi Objective ◽

Optimal Power ◽

Generation Cost ◽

And Control

This paper presents a Differential Search Algorithm for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control . The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Differential Search Algorithm is more effective than other swarm intelligence methods in the literature.

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