Locating series FACTS devices for congestion management in deregulated electricity markets

Acharya, Naresh; Mithulananthan, Nadarajah

doi:10.1016/j.epsr.2006.03.016

Cited by 240 publications

(150 citation statements)

References 17 publications

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“…This paper presents an approach to optimally allocate multiple FD in deregulated electricity market Series FD Line (6-11), (2-4), (3)(4), (9)(10)(11)(12)(13)(14), and (7-9) (4-5), (9)(10)(11)(12)(13)(14), (13)(14), (1-2), (2-3), (10-11), …”

Section: Resultsmentioning

confidence: 99%

“…The impedance insertion model represents the FD as known impedance inserted to the system in series, shunt or a combination of both according to the device type. These methods do not disturb the symmetry of the admittance matrix and allows efficient and convenient integration of FD into existing power system analytical software tools [9], [10]. This paper focuses on the optimal location and sizing of three types of FACTS, namely the SVC, TCSC, and the UPFC.…”

Section: Facts Devices Modelsmentioning

confidence: 99%

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Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

Elmitwally

Eladl

Morrow

2016

IET Generation, Transmission & Distribution

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Abstract-This paper proposes an approach to optimally allocate multiple types of flexible AC transmission system (FACTS) devices in market-based power systems with wind generation. The main objective is to maximize profit by minimizing device investment cost, and the system's operating cost considering both normal conditions and possible contingencies. The proposed method accurately evaluates the long-term costs and benefits gained by FACTS devices installation to solve a large-scale optimization problem. The objective implies maximizing social welfare as well as minimizing compensations paid for generation rescheduling and load shedding. Many technical operation constraints and uncertainties are included in problem formulation. The overall problem is solved using both Particle Swarm Optimizations (PSO) for attaining optimal FACTS devices allocation as main problem and optimal power flow as sub optimization problem. The effectiveness of the proposed approach is demonstrated on modified IEEE 14-bus test system and IEEE 118-bus test system.

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Section: Resultsmentioning

confidence: 99%

Section: Facts Devices Modelsmentioning

confidence: 99%

Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

Elmitwally

Eladl

Morrow

2016

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

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“…Congestion management, using an Interline Power Flow Controller (IPFC), is performed in [12]. Application of a series of FACTS for congestion management in deregulated electricity markets is discussed in [13][14][15]. These references simplify the optimization problem by assuming given sizes of FACTS devices and/or the employment of second order generations cost functions, without considering sine components, due to valve point loading effects, and omitting load benefit functions in the objective function.…”

Section: Nomenclaturementioning

confidence: 99%

“…Integration of FACTS devices in load flow analysis and issues related to Optimal Power Flow (OPF) in the context of a pool paradigm, has been reported in [13,15]. In this paper, the Newton-Raphson (N-R) power flow formulation is used, and TCSC and SSSC are represented using a Power Injection Model (PIM) [13][14][15][16].…”

Section: Mathematical Model Of Tcsc and Ssscmentioning

confidence: 99%

Social welfare maximization with fuzzy based genetic algorithm by TCSC and SSSC in double-sided auction market

2012

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This paper presents a fuzzy-based genetic algorithm to maximize total system social welfare by best the placement and sizing of TCSC and SSSC devices, considering their investment cost in a doublesided auction market. To introduce more accurate modeling, the valve loading effects are incorporated into the conventional quadratic smooth generator cost curves. In addition, quadratic consumer benefit functions are integrated into the objective function to guarantee that locational marginal prices charged at the demand buses are less than, or equal to, the DisCos benefit, earned by selling the power to retail customers. The proposed approach utilizes fuzzy-based genetic algorithms for optimal scheduling of GenCos and DisCos, as well as optimal placement and sizing of SSSC and TCSC units. In addition, the Newton-Raphson approach is used to minimize the mismatch of the power flow equation. Simulation results on the modified IEEE 14-bus and IEEE 30-bus test systems (with/without line flow constraints, before and after the compensation) are used to examine the impact of SSSC and TCSC on total system social welfare improvement versus their cost. To validate the accuracy of the proposed method, several case studies are presented and simulation results are compared with those generated by genetic and Sequential Quadratic Programming (SQP) approaches.

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“…Although, this method has good performance to locate TCSC, they may not capture the nonlinearity associated with the system. A new methodology is proposed based on Locational Marginal Pricing (LMP) differences for the location of series FACTS devices for congestion management [10].…”

Section: Introductionmentioning

confidence: 99%

The Phenomenal Alleviation of Transmission Congestion by Optimally Placed Multiple Distributed Generators Using PSO

Muthulakshmi¹,

Sasiraja²,

Kumar³

2016

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In the current electricity paradigm, the rapid elevation of demands in industrial sector and the process of restructuring are the main causes for the overuse of transmission systems. Hence, the evolution of novel technology is the ultimate need to avoid the damages in the available transmission systems. An appreciable volume of renewable energy sources is used to produce electric power, after the implementation of deregulation in power system. Even though, they are intended to improve the reliability of power system, the unpredictable outages of generators or transmission lines, an impulsive increase in demand and the sudden failures of vital equipment cause transmission congestion in one or some transmission lines. Generation rescheduling and load shedding can be used to alleviate congestion, but some cases require quite few improved methods. With the extensive application of Distributed Generation (DG), congestion management is also performed by the optimal placement of DGs. Therefore, this research employs a Line Flow Sensitivity Factor (LFSF) and Particle Swarm Optimization (PSO) for the determination of optimal location and size of multiple DG units, respectively. This proposed problem is formulated to minimize the total system losses and real power flow performance index. This approach is experimented in modified IEEE-30 bus test system. The results of N-1 contingency analysis with DG units prove the competence of this proposed approach, since the total numbers of congested lines get reduced from 15 to 2. Hence, the results show that the proposed approach is robust and simple in alleviating transmission congestion by the optimal placement and sizing of multiple DG units. K. Muthulakshmi et al. 1678

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Locating series FACTS devices for congestion management in deregulated electricity markets

Cited by 240 publications

References 17 publications

Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

Long‐term economic model for allocation of FACTS devices in restructured power systems integrating wind generation

Social welfare maximization with fuzzy based genetic algorithm by TCSC and SSSC in double-sided auction market

The Phenomenal Alleviation of Transmission Congestion by Optimally Placed Multiple Distributed Generators Using PSO

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