Optimal siting and sizing of UPFC using evolutionary algorithms

Alamelu, S.M.; Baskar, S.; Babulal, C. K.; Jeyadevi, S.

doi:10.1016/j.ijepes.2014.12.081

Cited by 28 publications

(17 citation statements)

References 22 publications

(44 reference statements)

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“…The total cost required for the circuit design is shown in Table 5. Here, the proposed MACO-BFOA technique is compared with the existing [24]Particle Swarm Optimization (PSO), Covariance Matrix Adapted Evolution Strategy (CMAES), Primal Dual Interior Point (PDIP) methods. From this, it is observed that the proposed method provides the minimized total cost when compared to these techniques.…”

Section: Simulation Results Of Ieee-30 Bus System For Total Cost Rementioning

confidence: 99%

An integrated optimization approach to locate the D-STATCOM in power distribution system to reduce the power loss and total cost

Muthubalaji¹,

Anand²,

Karuppiah³

2018

PEN

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The optimization problem with a single objective can obtain a single solution, called an optimal solution. It maximizes or minimizes the performance of a particular objective function to a given constraint. But, in the case of the multi-objective optimization, different objectives can be simultaneously optimized. Thus, this paper recommends a multi-objective optimization methodology for simultaneously perform the two objective functions such as resizing and optimal placement of Distributed Static Compensator (DSTATCOM) for reducing the power loss, total cost and enhancing the voltage profile. For these purposes, an integrated approach of two optimization algorithm called Multi-objective Ant Colony Optimization (MACO) and Bacterial Foraging Optimization Algorithm (BFOA) are used. The prime intention of this work is to bring down the power loss, total cost and enhance the voltage profile by placing the DSTATCOM device in an optimal location. Here, IEEE-30 and IEEE-69 bus systems are considered to appraise the recital of the recommended approach. Moreover, the effectiveness of the MACO-BFOA approach is evaluated and compared with other multi-objective algorithms. From this analysis, it is observed that when compared to these techniques, the proposed system provides the minimized power loss and total cost.

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Section: Simulation Results Of Ieee-30 Bus System For Total Cost Rementioning

confidence: 99%

An integrated optimization approach to locate the D-STATCOM in power distribution system to reduce the power loss and total cost

Muthubalaji¹,

Anand²,

Karuppiah³

2018

PEN

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“…Thus, the LMP difference between the two ends of a specific line is associated with the extent of loss and congestion on that line. Similar to (18), the LMP for bus j can be written as:…”

Section: Locational Marginal Price and Congestion Costmentioning

confidence: 99%

“…✓ ✓ ✓ MIP [4] ✓ ✓ ✓ MIP [5] ✓ ✓ ✓ ✓ MIP [6] ✓ ✓ ✓ ✓ NLP [7] ✓ ✓ LMPs [8] ✓ ✓ ✓ LMPs [9] ✓ ✓ ✓ GA [10] ✓ ✓ ✓ GA [11] ✓ ✓ PSO [12] ✓ ✓ ✓ ✓ PSO [13] ✓ ✓ ✓ PSO [14] ✓ ✓ PSO [15] ✓ ✓ DE [16] ✓ ✓ DE [17] ✓ ✓ IA [18] ✓ ✓ NSGA [19] ✓ ✓ ✓ ✓ CRO [20] ✓ ✓ ✓ ✓ AAA [21] ✓ ✓ FFA [22] ✓ ✓ PSO [23] ✓ ✓ ICA [24] ✓ ✓ ED [25] ✓ ✓ MIP [26] ✓ ✓ MIP [27] ✓ ✓ SA [28] ✓ ✓ ✓ SA…”

mentioning

confidence: 99%

The impact of demand response programs on UPFC placement

Anari¹,

Ehsan²,

Firuzabad³

2019

Turk J Elec Eng & Comp Sci

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Demand response (DR) and flexible AC transmission system (FACTS) devices can be effectively used for congestion management in power transmission systems. However, demand response program (DRP) implementation can itself affect the optimum location of FACTS devices, which is one of the main issues in power system planning.This paper investigates the impact of DRPs on unified power flow controller (UPFC) placement. The harmony search algorithm is employed to determine the optimum locations and parameter setting of UPFC in a long-term framework.The optimization problem is solved with different objectives including generation and congestion cost reduction, as well as loss reduction. In this paper, the proposed approach is analyzed using 5 different cases, which are defined in such a way that they demonstrate the impact of DRPs on the UPFC placement problem. The IEEE reliability test system is used as an illustrative example to demonstrate the necessity of considering DRPs for UPFC placement.

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“…[16] UPFC HICA-PS Voltage Collapse Prevention [17] UPFC ABC, GSA Improve Dynamic Stability of the System [18] SVC, TCSC RGA To improve Available Transfer Capability (ATC) [19] STATCOM Fuzzy, GA Voltage Stability Enhancement [20] UPFC BAT Search Algorithm Minimize real power losses in power system [21] DSTATCOM IA Reduce Power loss and improve voltage profile [22] UPFC NSGA-II, CMAES Increase loadability and total minimize cost of the system [23] UPFC FA, CS Enhance dynamic stability of the system [24] UPFC TS, EPSO Improve power transmission capability Recently, a novel, robust and intelligence optimization technique "Artificial Algae Algorithm (AAA)" has been developed from the living behaviors of microalgae [25]. For the author's knowledge, the application of the AAA concretely for ideal location of FACTS devices (UPFC) has not tested yet in the research publications.…”

Section: Ref Facts Devices Techniques/algorithms Objectivesmentioning

confidence: 99%

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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Optimal siting and sizing of UPFC using evolutionary algorithms

Cited by 28 publications

References 22 publications

An integrated optimization approach to locate the D-STATCOM in power distribution system to reduce the power loss and total cost

An integrated optimization approach to locate the D-STATCOM in power distribution system to reduce the power loss and total cost

The impact of demand response programs on UPFC placement

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

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