Techno-economic approach towards reactive power planning ensuring system security on energy transmission network

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nihar Karmakar ◽  
Biplab Bhattacharyya
Keyword(s):  
Power Flow ◽  
Reactive Power ◽  
Optimal Parameter ◽  
Cost Minimization ◽  
Operating Cost ◽  
Research Work ◽  
System Security ◽  
Bench Mark ◽  
Acceptable Solution ◽  
Reactive Power Planning

Abstract This research work proposes a planning strategy pertaining to the techno-economic operation of Indian power systems. The proposed strategy focused on the reactive power (VAr) planning (RPP) subject to the system operating cost minimization ensuring system security. To mitigate the RPP issue, unique meta-heuristic hybridized techniques are adopted to size the optimal parameter settings such as alternator’s reactive power, tap settings of transformers etc. instigated by power flow analysis satisfying all equality and inequality constraints. The controlling variables are optimally determined to solve this non-linear RPP problem. The bottleneck for the installation of static VAr compensators at weak buses is also wiped out by different analytical techniques viz. loss sensitivity, power flow and modal analysis. Two different inter-regional transmission networks prevailing in India are considered to measure the adaptability, efficacy and efficiency of the proposed approach. The results obtained by applying the proposed approach have confirmed that network loss-minimization procedures produce an acceptable solution and reduce the operating cost which is especially important in RPP. The responses of bench mark functions and statistical analysis of the outcomes from both systems allow us to assess the overall efficiency and efficacy of the proposed techno-economic planning approach.

scholarly journals Hybrid intelligence approach for multi-load level reactive power planning using VAR compensator in power transmission network

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Nihar Karmakar ◽  
Biplab Bhattacharyya
Keyword(s):  
Soft Computing ◽  
Reactive Power ◽  
Power Transmission ◽  
Optimal Parameter ◽  
Operating Cost ◽  
Research Work ◽  
Planning Problem ◽  
Power Sources ◽  
Soft Computing Techniques ◽  
Reactive Power Planning

AbstractThis paper formulates and solves a techno-economic planning problem of reactive power (VAR) in power transmission systems under loadings. The objective of the proposed research work is to minimize the combination of installation cost of reactive power sources, power losses and operational cost while satisfying technical constraints. Initially, the positions for the placement of reactive power sources are determined technically. Different cost components such as VAR generation cost, line charging cost etc. are then added in the total operating cost in a most economical way. Finally, the optimal parameter setting subjected to reactive power planning (RPP) is obtained by taking advantages of hybrid soft computing techniques. For the justification of the efficiency and efficacy of the proposed approach the entire work is simulated on two inter-regional transmission networks. To validate the robustness and ease of the soft computing techniques in RPP the responses of benchmark functions and statistical proof are provided simultaneously.

Optimal Power Flow and Optimal Reactive Power Dispatch Using Different Evolutionary Optimization Techniques

2018 ◽  
pp. 117-157
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Cost Minimization ◽  
Voltage Profile ◽  
Fuel Cost ◽  
Loss Minimization ◽  
Optimal Reactive Power Dispatch ◽  
Reactive Power Dispatch ◽  
Fuel Cost Minimization

This chapter describes grey wolf optimization (GWO), teaching-learning-based optimization (TLBO), biogeography-based optimization (BBO), krill herd algorithm (KHA), chemical reaction optimization (CRO), and hybrid CRO (HCRO) algorithms to solve both single and multi-objective optimal power flow (MOOPF) and optimal reactive power dispatch (ORPD) problems while satisfying various operational constraints. The proposed HCRO approach along with GWO, TLBO, BBO, KHA, and CRO algorithms are implemented on IEEE 30-bus system to solve four different single objectives: fuel cost minimization, system power loss minimization, voltage stability index minimization, and voltage deviation minimization; two bi-objectives optimization, namely minimization of fuel cost and transmission loss; minimization of fuel cost and voltage profile; and one tri-objective optimization, namely minimization of fuel cost, minimization of transmission losses, and improvement of voltage profile simultaneously. The simulation results clearly suggest that the proposed is able to provide a better solution than other approaches.

scholarly journals A New Fractional Particle Swarm Optimization with Entropy Diversity Based Velocity for Reactive Power Planning

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1112 ◽  
Author(s):  
Muhammad Waleed Khan ◽  
Yasir Muhammad ◽  
Muhammad Asif Zahoor Raja ◽  
Farman Ullah ◽  
Naveed Ishtiaq Chaudhary ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Reactive Power ◽  
Cost Minimization ◽  
Operating Cost ◽  
Particle Swarm ◽  
Cumulative Distribution ◽  
Electrical Network ◽  
Swarm Optimization ◽  
Electrical Systems ◽  
Line Loss

Optimal Reactive Power Dispatch (ORPD) is the vital concern of network operators in the planning and management of electrical systems to reduce the real and reactive losses of the transmission and distribution system in order to augment the overall efficiency of the electrical network. The principle objective of the ORPD problem is to explore the best setting of decision variables such as rating of the shunt capacitors, output voltage of the generators and tap setting of the transformers in order to diminish the line loss, and improve the voltage profile index (VPI) and operating cost minimization of standard electrical systems while keeping the variables within the allowable limits. This research study demonstrates a compelling transformative approach for resolving ORPD problems faced by the operators through exploiting the strength of the meta-heuristic optimization model based on a new fractional swarming strategy, namely fractional order (FO)–particle swarm optimization (PSO), with consideration of the entropy metric in the velocity update mechanism. To perceive ORPD for standard 30 and 57-bus networks, the complex nonlinear objective functions, including minimization of the system, VPI improvement and operating cost minimization, are constructed with emphasis on efficacy enhancement of the overall electrical system. Assessment of the results show that the proposed FO-PSO with entropy metric performs better than the other state of the art algorithms by means of improvement in VPI, operating cost and line loss minimization. The statistical outcomes in terms of quantile–quantile illustrations, probability plots, cumulative distribution function, box plots, histograms and minimum fitness evaluation in a set of autonomous trials validate the capability of the proposed optimization scheme and exhibit sufficiency and also vigor in resolving ORPD problems.

scholarly journals Optimal placement of facts devices to reduce power system losses using evolutionary algorithm

2021 ◽  
Vol 21 (3) ◽  
pp. 1271
Author(s):  
Mahmood Khalid Zarkani ◽  
Ahmed Sahib Tukkee ◽  
Mohammed Jasim Alali
Keyword(s):  
Power System ◽  
Evolutionary Algorithm ◽  
Power Flow ◽  
Reactive Power ◽  
Research Work ◽  
Test System ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Voltage Profile ◽  
Facts Devices

<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>

scholarly journals Security Constrained Unit Commitment Incorporating Interline Power Flow Controller

2017 ◽  
Vol 61 (1) ◽  
pp. 22
Author(s):  
Sekharan Sreejith ◽  
Sishaj P Simon
Keyword(s):  
Power Flow ◽  
Artificial Bee Colony ◽  
Unit Commitment ◽  
Operating Cost ◽  
System Security ◽  
Test System ◽  
Master Problem ◽  
Bee Colony ◽  
Flow Controller ◽  
Power Flow Controller

Security-constrained unit commitment (SCUC) problem is solved using Artificial Bee Colony (ABC) algorithm incorporating Interline Power Flow Controller (IPFC). The objective of the SCUC problem is to obtain the minimum operating cost simultaneously maintaining the system security. The SCUC problem involves unit commitment as the main problem and security-constrained Economic Dispatch (SCED) as the sub problem. The solution of the SCUC problem is also investigated during contingency with a single line outage. Binary coded artificial bee colony (BABC) is used for solving the UC problem (master problem) and real coded artificial bee colony algorithm (RABC) is used for solving the SCED sub problem. The effectiveness of the proposed methodology is tested and validated on a 6 bus system and an IEEE 118 bus test system. The effectiveness of IPFC in a power system network ensuring system security is thoroughly investigated and the results are compared with that of existing methods available in the literature.

scholarly journals Solar PV Placement and Sizing for Line Stability Enhancement and Optimal Operating Cost

2019 ◽  
Vol 9 (1) ◽  
pp. 3585-3593
Keyword(s):  
Power Systems ◽  
Power System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Cost Minimization ◽  
Operating Cost ◽  
System Stability ◽  
Total Power ◽  
Solar Pv ◽  
Stability Enhancement

Nowadays, many countries have started to implement and installed solar photovoltaic (PV). The initial designs of existing power systems were not integrating with any renewable energy (RE) including PV. So, the small scale PV may not have any effect on these power systems. However, integrating large scale PV might raise several power quality issues including power system stability. Power system stability has become major attention where the main focus is on voltage stability.Voltage stability is related on electrical grid capacity to balance the Total Power of Demand (PD) and Total Power generated by Generator (Pgtt). Instability of the voltage can cause inability of the power system to meet the demand of reactive power. The lack of reactive power will cause instability in the power system.This paper present optimal placement and sizing of PV for stability enhancement and operating cost minimization. In this research, reactive power has gradually increased and Fast Voltage Stability Index (FVSI) is applied to analyze voltage stability. PV is applied to stabilize voltage stability of the power system. Economic Load Dispatch (ELD) is conducted to determine the optimal cost and loss. DEIANT is conducted to optimize the total cost and the total loss after solar PV implementation. Simulation result indicates the effectiveness of the proposed technique for stability enhancement and operating cost minimization.

scholarly journals Experimental study on transient response of fuel cell

2019 ◽  
Vol 8 (2) ◽  
pp. 375-381
Author(s):  
Ameerul A. J. Jeman ◽  
Naeem M. S. Hannoon ◽  
Nabil Hidayat ◽  
Mohamed M. H. Adam ◽  
Ismail Musirin ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Transient Response ◽  
Power Flow ◽  
Reactive Power ◽  
Research Work ◽  
Reference Signal ◽  
Dc Motor ◽  
Total Power ◽  
Current Output ◽  
Control Scheme

This research work discusses a control strategy to enhance the transient response of the fuel cell and boost the real and reactive power flow from grid connected to fuel cell. The current output of the fuel cell depends on the availability of hydrogen in the fuel cell stack, a battery bank is implemented to supply the transient current and to prevent it from hydrogen saturation. The battery should only supply when there is a transient. During steady state the total power is produced by the fuel cell by regulating its hydrogen input. A prototype of the system will be created to study a control scheme which regulates the current from an input source and a battery which is connected to a dc motor. The control philosophy is based on d-q transformation and subsequently generating a reference signal that is tracked by an IGBT based inverter. The speed of the motor is controlled using pulse with modulation. The dynamic modeling of the standalone fuel cell that is connected to a dc motor is carried out using MATLAB/SIMULINK platform. The simulation results show that the control scheme works well, although the dynamic response of the system can be improved. The testing carried on the prototype proves that the concept works well, but a hydrogen control scheme should be developed to improve the efficiency of the control scheme.

scholarly journals Design of fractional evolutionary processing for reactive power planning with FACTS devices

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasir Muhammad ◽  
Rizwan Akhtar ◽  
Rahimdad Khan ◽  
Farman Ullah ◽  
Muhammad Asif Zahoor Raja ◽  
...  
Keyword(s):  
Power Flow ◽  
Reactive Power ◽  
Flow Analysis ◽  
Voltage Profile ◽  
Network Efficiency ◽  
Power Sources ◽  
Optimal Dispatch ◽  
Facts Devices ◽  
Flexible Alternating Current Transmission ◽  
Reactive Power Planning

AbstractReactive power dispatch is a vital problem in the operation, planning and control of power system for obtaining a fixed economic load expedition. An optimal dispatch reduces the grid congestion through the minimization of the active power loss. This strategy involves adjusting the transformer tap settings, generator voltages and reactive power sources, such as flexible alternating current transmission systems (FACTS). The optimal dispatch improves the system security, voltage profile, power transfer capability and overall network efficiency. In the present work, a fractional evolutionary approach achieves the desired objectives of reactive power planning by incorporating FACTS devices. Two compensation arrangements are possible: the shunt type compensation, through Static Var compensator (SVC) and the series compensation through the Thyristor controlled series compensator (TCSC). The fractional order Darwinian Particle Swarm Optimization (FO-DPSO) is implemented on the standard IEEE 30, IEEE 57 and IEEE 118 bus test systems. The power flow analysis is used for determining the location of TCSC, while the voltage collapse proximity indication (VCPI) method identifies the location of the SVC. The superiority of the FO-DPSO is demonstrated by comparing the results with those obtained by other techniques in terms of measure of central tendency, variation indices and time complexity.

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