Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion Management

Author(s):  
Naga Raja Kumari.CH ◽  
K. Chendra Sekhar

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement  the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time.

Author(s):  
Naga Raja Kumari.CH ◽  
K. Chendra Sekhar

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement  the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time.


Author(s):  
Himanshu Kumar Singh ◽  
S.C. Srivastava ◽  
Ashwani Kumar Sharma

One of the most important tasks of System Operator (SO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action congestion management schemes, it is crucial for SO to select the most sensitive generators to re-schedule their real and reactive powers and the loads to curtail in extreme congestion management. This paper proposed the selection of most sensitive generators and loads to re-schedule their generation and load curtailment based on the improved line flow sensitivity indices to manage congestion. The impact of slack bus on power flow sensitivity factors has been determined to encourage fair competition in the electricity markets. Effect of bilateral and multilateral transactions, and impact of multi-line congestion on congestion cost has also been studied. The generators’ reactive power bid has been modeled by a continuous differentiable tangent hyperbolic function. The proposed concept of congestion management has been tested on a practical 75-bus Indian system and IEEE-118-bus test system.


Author(s):  
Mahmood Khalid Zarkani ◽  
Ahmed Sahib Tukkee ◽  
Mohammed Jasim Alali

<p>The rapid and enormous growths of the power electronics industries have made the flexible AC transmission system (FACTS) devices efficient and viable for utility application to increase power system operation controllability as well as flexibility. This research work presents the application of an evolutionary algorithm namely differential evolution (DE) approach to optimize the location and size of three main types of FACTS devices in order to minimize the power system losses as well as improving the network voltage profile. The utilized system has been reactively loaded beginning from the base to 150% and the system performance is analyzed with and without FACTS devices in order to confirm its importance within the power system. Thyristor controlled series capacitor (TCSC), unified power flow controller (UPFC) and static var compensator (SVC) are used in this research work to monitor the active and reactive power of the carried out system. The adopted algorithm has been examined on IEEE 30-bus test system. The obtained research findings are given with appropriate discussion and considered as quite encouraging that will be valuable in electrical grid restructuring.</p>


Author(s):  
REKHA SWAMI

In power systems, transmission network provides the infrastructure to support a competitive electricity market, but congestion occurs frequently in the weakly connected networks. Transmission congestion can enhance the locational market power in the congested area and weaken the efficiency of electricity market. In this paper market dispatch problem in the pool-based electricity market is formulated so as to maximize the social welfare of market participants subject to operational constraints given by real and reactive power balance equations, and security constraints in the form of apparent power flow limits over the congested transmission lines. The comparisons of the real and reactive power costs of generators, benefit value of consumers, producers surplus, locational marginal prices (LMPs) under uncongested or congested conditions are evaluated by using a five-bus system.


10.29007/1hvd ◽  
2018 ◽  
Author(s):  
Jalpa Jobanputra ◽  
Chetan Kotwal

Optimal utilization of transmission system without congestion in the network is most important as congestion can violet the security of the system. Sufficient amount of reactive power support needs to be provided in the system in order to maintain the power flow limits on transmission lines and voltage limits at bus bars. This Paper focuses on analysis of congestion occurrence with N-1 contingencies for line flow limits in case of line and generator outages using linear sensitivity factors and congestion management using series compensation. Generation shift factor and line outage distribution factor are used to find sensitive lines and series compensation in two stages are applied to the most sensitive lines to relieve congestion. Standard IEEE 6 bus test system is used to analyze contingencies and congestion mitigation. All the simulations are performed using power world simulator version 19.0. Mathematical calculations are also performed for the same 6-bus system for validation of results.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2017-2020

The power transmission network has the problem of management due to congestion in the open access system. Power flow due to transactions in transmission lines can cause overloads. This condition is known as congestion. There are several alternative methods for congestion management which are suitable for different electricity markets. In this paper the Locational Marginal Pricing (LMP) method is discussed for an assessment of transmission congestion management and results are obtained to manage the transmission congestion such as redispatching existing generators outside the congested area to supply power to the customer. The primal dual IP algorithm is used to calculate the LMP’s and congestion cost values. The proposed work has been implemented on a 14-bus test system to illustrate the advantages and disadvantages of this method


Author(s):  
Ni Putu Agustini ◽  
I Made Wartana ◽  
Abraham Lomi

In a power system, the reactive power imbalance is related to the stability of the static voltage because the injection of reactive power that the bus receives from the system determines the bus's capability in the system. Rapid increases in real and reactive power losses occur as the system approaches the voltage drop point or the maximum load point. It is necessary to support local and adequate reactive power to avoid system leading to be voltage collapse. This study analyzes the improvement of the margin of static voltage stability using one type of modern control equipment of shunt flexible AC transmission system (FACTS), namely the static var compensator (SVC). The controller's representations are used in the continuation power flow (CPF) process to study static voltage stability. The proposed method's effectiveness has been investigated using a practical test system, namely the Bali 16-bus system, to increase the system loading capacity. The simulation was carried out by installing a modern controller in the best location, namely on bus 07 ASARI; an increase in system margin loading closed to 2% compared to the base case condition, namely λmax = 1,879 p.u with the voltage profile not changing significantly.


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