Transient Stability Constrained Line-Flow-Based Optimal Power Flow Analysis

This paper establishes a new method that adopts the line-flow-based (LFB) approach to develop a transient stability constrained optimal power flow (OPF) analysis called LFB-TSCOPF. The transient energy function (TEF) serves as a direct means of carrying out the stability analysis. The reduction technique was adopted in which the classical machine model was reduced to the internal node model. The proposed method was tested on the WECC 9-bus, three-machine, IEEE 14-bus, five-machine, and the New England 39-bus, ten-machine test systems. The results were compared with other known results from different methods in literature. The results of the active power and total optimal costs are quite promising and consistent with other known methods. The LFB-TSCOPF re-dispatches real power by applying the energy margin performance index as an indication of the generator unit(s) to be rescheduled. The LFB-TSCOPF provides a more comprehensive linear model, reduces computation time and can be useful for online stability studies.

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Transient Stability Constrained Line-Flow-Based Optimal Power Flow Analysis

ENERGYO ◽

10.1515/energyo.0034.00119 ◽

2018 ◽

Author(s):

Lazarus O. Uzoechi ◽

Satish M. Mahajan ◽

Ghadir Radman

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Transient Stability ◽

Flow Analysis ◽

Power Flow Analysis ◽

Optimal Power ◽

Line Flow

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A Novel Optimization Algorithm for Transient Stability Constrained Optimal Power Flow

Sustaining Power Resources through Energy Optimization and Engineering - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-4666-9755-3.ch007 ◽

2016 ◽

pp. 147-176

Author(s):

Sourav Paul ◽

Provas Kumar Roy

Keyword(s):

Power Systems ◽

New England ◽

Power Flow ◽

Optimal Power Flow ◽

Transient Stability ◽

Linear Optimization ◽

Standard Test ◽

Optimal Power ◽

Teaching Learning ◽

Bus System

Optimal power flow with transient stability constraints (TSCOPF) becomes an effective tool of many problems in power systems since it simultaneously considers economy and dynamic stability of power system. TSC-OPF is a non-linear optimization problem which is not easy to deal directly because of its huge dimension. This paper presents a novel and efficient optimisation approach named the teaching learning based optimisation (TLBO) for solving the TSCOPF problem. The quality and usefulness of the proposed algorithm is demonstrated through its application to four standard test systems namely, IEEE 30-bus system, IEEE 118-bus system, WSCC 3-generator 9-bus system and New England 10-generator 39-bus system. To demonstrate the applicability and validity of the proposed method, the results obtained from the proposed algorithm are compared with those obtained from other algorithms available in the literature. The experimental results show that the proposed TLBO approach is comparatively capable of obtaining higher quality solution and faster computational time.

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