Optimal location and parameter setting of UPFC for enhancing power system security based on Differential Evolution algorithm

Shaheen, H.I.; Rashed, Ghamgeen Izat; Cheng, Shijie

doi:10.1016/j.ijepes.2010.06.023

Cited by 112 publications

(53 citation statements)

References 17 publications

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“…Hence, from technical point of view, the UPFC is located at optimal location to remove the overload transmission lines, to share out equal power flows and to eliminate the buses voltage violations. Therefore, we have selected the following technical objective function [1,29]:…”

Section: Objective Functionmentioning

confidence: 99%

“…Normally, the power networks are designed and functioned to fulfill the N-1 security criterion. It means that during first contingencies the power networks should endure in stable condition [1]. However, this N-1 security criterion is expensive and traditionalist.…”

Section: Introductionmentioning

confidence: 99%

“…Particle swarm optimization (PSO) and genetic algorithm (GA) techniques were developed to detect the optimal location of UPFC for improving the power systems security [8]. Differential evaluation (D.E) algorithm was employed to obtain the optimal location and parameter setting of UPFC device for increasing system security during single line contingencies [1,9]. Cat swarm optimization has been used to magnify the voltage stability in an interconnected system under N-1 contingency by identifying the optimal position and rating of UPFC [10].…”

Section: Introductionmentioning

confidence: 99%

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New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

Zahid

Chen

et al. 2017

Energies

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Operation of power system within specified limits of voltage and frequency are the major concerns in power system stability studies. As power system is always prone to disturbances, which consequently affect the voltage instability and optimal power flow, and therefore risks the power systems stability and security. In this paper, a novel technique based on the "Artificial Algae Algorithm" (AAA) is introduced, to identify the optimal location and the parameters setting of Unified Power Flow Controller (UPFC) under N-1 contingency criterion. In the first part, we have carried out a contingency operation and ranking process for the most parlous lines outage contingencies while taking the transmission lines overloading (NOLL) and voltage violation of buses (NVVB) as a performance parameter (PP = NOLL + NVVB). As UPFC possesses too much prohibitive cost and larger size, its optimal location and size must be identified before the actual deployment. In the second part, we have applied a novel AAA technique to identify the optimal location and parameters setting of UPFC under the discovered contingencies. The simulations have been executed on IEEE 14 bus and 30 bus networks. The results reveals that the location of UPFC is significantly optimized using AAA technique, which has improved the stability and security of the power system by curtailing the overloaded transmission lines and limiting the voltage violations of buses.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

Zahid

Chen

et al. 2017

Energies

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“…In [33], two evolutionary optimization techniques namely, GA and PSO, are applied for seeking the best location with the optimal setting of TCSC under single line contingency to improve the system security by eliminating or minimizing line overloads and bus voltage violations. In [34], a differential evolution (DE) algorithm is applied for finding the best location with parameter setting of UPFCs for enhancing power system security under single line contingencies. In [35], a relatively new evolutionary optimization technique, namely the DE technique, is applied to find the optimal locations and parameter settings of TCSCs under determined contingency scenarios for enhancing power system security.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

et al. 2017

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Abstract:Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

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“…Most studies concentrate on unified power flow controller (UPFC) modeling procedures [34][35][36], optimal location methodologies [37][38][39], and various control strategies to operate UPFC [40]. However, the nature of its construction means that UPFC cannot control multiple lines.…”

Section: Introductionmentioning

confidence: 99%

Multi-area Multi-fuel Economic–Emission Dispatch Using a Generalized Unified Power Flow Controller Under Practical Constraints

Suresh

Sivanagaraju

Rao³

2014

Arab J Sci Eng

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This paper presents a novel optimization algorithm for the multi-area multi-fuel economic-emission dispatch problem and total power loss objective. The proposed method uses the uniform distribution to determine the control parameters and employs a two-stage initialization process. This enables various objectives to be optimized under practical constraints and device limits. We formulate a realistic generation cost that includes the cost of reactive power generation, shunt power injections, and total power losses, along with the conventional active power generation cost. A novel objective based on the concept of multi-fuel emissions makes the problem more realistic, and a generalized unified power flow controller (GUPFC) is considered. A detailed power injection model is developed for a GUPFC with two series converters, including switching losses of converters. A nondominated sorting methodology and particle swarm optimization algorithm are then used to solve the multi-objective problem on the standard IEEE-30 bus and real-time Indian-124 bus test systems.Keywords GUPFC power injection model · Multi-fuel active power cost · Multi-fuel reactive power cost · Multi-fuel emissions · GUPFC installation cost · NSUDTPSO

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Optimal location and parameter setting of UPFC for enhancing power system security based on Differential Evolution algorithm

Cited by 112 publications

References 17 publications

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

New Approach for Optimal Location and Parameters Setting of UPFC for Enhancing Power Systems Stability under Contingency Analysis

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

Multi-area Multi-fuel Economic–Emission Dispatch Using a Generalized Unified Power Flow Controller Under Practical Constraints

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