Congestion management of deregulated power systems by optimal setting of Interline Power Flow Controller using Gravitational Search algorithm

Mishra, Akanksha; Kumar, G. V. Nagesh

doi:10.1016/j.jesit.2016.09.001

Cited by 40 publications

(28 citation statements)

References 9 publications

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“…In GSA, agents are considered as objects, and the gravitational forces among them will cause a global movement of all objects towards the objects with heavier masses, which represents an optimum solution in the search space. The position of agents which corresponds to a solution of the problem will be updated repeatedly until the termination condition is satisfied [43]. GSA has some advantages over PSO and central force optimization due to its good convergence and global search capabilities in dealing with benchmark functions [24].…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

Long-Term Hydropower Generation of Cascade Reservoirs under Future Climate Changes in Jinsha River in Southwest China

Yang

Zhou

et al. 2018

Water

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In this paper, the impact of future climate changes on long-term hydropower generation (LTHG) of cascade hydropower stations in the lower reaches of the Jinsha River is discussed. Global climate models (GCM) were used to estimate the impacts of future climate changes, the Xinanjiang model (XAJ) was applied to project the streamflow of the hydropower stations, and then gravitational search algorithm (GSA) was adopted to solve the LTHG problem. In case studies, the validation of the XAJ model shows that it perform well in the projection of streamflow in the Jinsha River. Moreover, the future hydropower generation is simulated based on five different GCMs under three climate change scenarios. Finally, the GSA algorithm is used to obtain a set of schemes under the influence of climate change. The results show that future climate changes are expected to have different impact on power generation of cascade reservoirs in the downstream of the Jinsha River when the climate change scenarios are different. These findings can provide decision support for future water resources management of the Jinsha River.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

Long-Term Hydropower Generation of Cascade Reservoirs under Future Climate Changes in Jinsha River in Southwest China

Yang

Zhou

et al. 2018

Water

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“…Authors introduced the concept of techno-economical congestion management by optimal placement of SVC and results were illustrated in [7]. Interline power flow controller (IPFC) showed effective solution for power flow improvement [8]. Concept of VSC-OPF is introduced and is carried out in contingency condition and placement of FACTS devices for improving power flow [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Transmission Congestion Management and Techno Economical Analysis using Placement of TCSC

2019

IJITEE

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Congestion management is a major problem in deregulated power system. Congestion leads to increase in transmission line loading, increases losses and reducing transmission efficiency. It also leads to increase in congestion cost and thus affects technical as well as economical parameters. Research work is carried out under single line critical contingency condition. Critical contingency is found out by overall performance index (OPI). Optimal Power Flow (OPF) is carried out and objective is to maximize social welfare. Thyristor controlled series compensator is used to improve power flow, thus it reduces congestion and improves techno-economical parameters. Optimal location of Thyristor controlled series compensator (TCSC) is found out by LMP difference method.

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“…For this purpose, the FACTS devices, i.e., TCSC and TCPAR are incorporated in the proposed problem [21], [22]. These two objectives are formulated next:…”

Section: Congestion Management (Cm): Problem Formulationmentioning

confidence: 99%

Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

Reddy¹

2018

IJECE

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This paper proposes a methodology to determine the optimal location of Flexible AC Transmission System (FACTS) controllers for Congestion Management (CM) in the restructured electrical power system. An approach to find the optimum placement of Thyristor Controlled Phase Angle Regulators (TCPAR) and Thyristor Controlled Series Compensators (TCSC) has been proposed in this paper. The proposed methodology is based on the sensitivity of transmission loss which a controller is installed. The total system losses and the power flows are considered as the performance indices. The traditional optimal power flow (OPF) problem is modified to include the market players, who will compete and trade simultaneously, ensuring the system operation stays within the security limits. In this paper, pool and bilateral contracts are considered. Here, an integrated methodology is proposed that includes the FACTS Controllers in a bilateral contract framework to maintain the system security and to minimize the deviations from the contractual requirements. The simulation results on IEEE 30 bus system show that the sensitivity factors could be used effectively for the optimal location of FACTS controllers in response to the required objectives.

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Congestion management of deregulated power systems by optimal setting of Interline Power Flow Controller using Gravitational Search algorithm

Cited by 40 publications

References 9 publications

Long-Term Hydropower Generation of Cascade Reservoirs under Future Climate Changes in Jinsha River in Southwest China

Long-Term Hydropower Generation of Cascade Reservoirs under Future Climate Changes in Jinsha River in Southwest China

Transmission Congestion Management and Techno Economical Analysis using Placement of TCSC

Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

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