Interline Power Flow Controller Research Articles

Load frequency control in power systems with high renewable energy penetration: A strategy employing P[formula omitted](1+PDF) controller, hybrid energy storage, and IPFC-FACTS

The high penetration of Renewable Energy Sources (RESs) in the modern power system poses a challenge to power system stability. This stability is affected by the stochastic, fluctuating output of RESs, which is influenced by weather conditions, and a lack of inertia resulting from reduced rotating mass. To address this issue, a new controller, referred to as Proportional-Fractional Integrator Plus Proportional-Derivative with Filter, PIλ(1+PDF), is designed for Load Frequency Control (LFC) with the support of a Hybrid Energy Storage System (HESS) for power systems with high-RES penetration. The HESS comprises a Superconducting Magnetic Energy Storage System (SMES) and a Vanadium Redox Flow Battery (VRFB) coupled with an Interline Power Flow Controller Flexible AC Transmission Systems (IPFC-FACTs) controller. The HESS, working in conjunction with the proposed LFC, injects virtual inertia and maintains power flow to expedite the frequency stability process. These systems are also integrated with Alternating Current (AC) and High Voltage Direct Current (HVDC) transmission lines to collectively enhance both the system's stability and the capacity of its transmission lines. To optimize the PIλ(1+PDF) controller parameters, Zebra Optimization Algorithm (ZOA) is employed utilizing an Integral Time Absolute Error (ITAE) objective function. The proposed controller is tested on a four-area power system integrated with a wind turbine, photovoltaic (PV) panels, a biodiesel generator, and a hydrogen aqua electrolyzer fuel cell, representing a high penetration of RESs in modern power systems. The results are compared with those obtained using Proportional-Integral-Derivative (PID) and Fractional Order Proportional Integral Derivative (FOPID) controllers. Sensitivity analysis and robustness tests are also performed to verify the stability of the power network by changing system parameters and under randomly chosen loading conditions. The proposed PIλ(1+PDF) controller tuned with ZOA outperforms PID and FOPID controllers by minimizing settling time for frequency changes by 62 %, eliminating overshoot, and reducing undershoots for frequency and tie-line power changes by 73 % and 55 %, respectively. Simulation results demonstrate that the proposed controller outperforms PID and FOPID controllers by effectively damping frequency and tie-line deviations, resulting in reduced frequency overshoots, undershoots, and shorter settling times.

A strategy for optimal and selective utilization of multiple interline DC power flow controllers in VSC-HVDC grids

A strategy for optimal and selective utilization of multiple interline DC power flow controllers in VSC-HVDC grids

Modelling of IPFC with multifunctional VSC for low-frequency oscillations damping and system stability improvement

The unified power flow controller (UPFC) approach maximizes active power transfer with the least amount of losses by independently controlling both reactive and active power flow. This makes it possible to use individual transmission lines more effectively. The interline power flow controller (IPFC) utilizes the concept of UPFC for economic operation and control, management of multiline transmission systems. In its most basic form, the IPFC consists of many DC to AC converters such as voltage source inverters (VSCs), each of which performs the same purpose as the UPFC: providing series compensation for every line in multiline transmission system. A novel idea for the efficient power flow control management and compensation in multiline transmission system is the IPFC. This research proposed a backup controller for an effective modelling of IPFC in order to reduce low-frequency oscillations using four different damping controller options. The choice of an efficient damping control signal is discussed in this work in order to create a durable IPFC damping controller that can withstand changes in system loads and power supply problems. Using the proposed control approach, it is feasible to acquire both oscillation damping and independent interline power flow regulation. The results obtained in this research was improved the dynamic stability of the system using VSC based IPFC and proposed control strategy.

Power quality enhancement in smart microgrid system using convolutional neural network integrated with interline power flow controller

Power quality enhancement in smart microgrid system using convolutional neural network integrated with interline power flow controller

Preventive-Security-Constrained Optimal Power Flow Model Considering IPFC Control Modes

The interline power flow controller (IPFC) is one of the most versatile integrated flexible alternating current transmission systems (FACTS) controllers and can realize power flow control for multiple transmission lines in modern power systems. However, control characteristics are ignored in conventional IPFC models, in which unreasonable assumptions about injected voltages may lead to security problems in realistic operation. Besides, preventive security constraints considering IPFC control modes are not included in optimal power flow (OPF) control of the system with IPFC, squandering IPFC control potential. To solve these problems, a preventive-security-constrained optimal power flow (PSCOPF) model considering IPFC control modes is proposed in this paper. IPFC control characteristics under different control modes are analyzed and employed as constraints of the optimization model. The iterative updates of converter output voltages for different control modes are derived respectively for power flow calculation, and the power and voltages required in the objective function and constraints of the proposed model can then be obtained. Through optimal selection of IPFC control modes and control parameters, the proposed model can better reconcile the economical and secure operation of the system. Numerical results demonstrate the efficient performance and superiority of the PSCOPF model considering IPFC control modes.

Fault Ride-Through Method for Interline Power Flow Controller Based on DC Current Limiter

The interline power flow controller (IPFC) based on a modular multilevel converter with a half-bridge configuration can control the active and reactive power flows of multiple alternating current (AC) lines. However, it forms a multiterminal system on the direct current (DC) side, which leads to DC faults. To reduce the protection and clearance requirements on the DC side of IPFCs, this paper proposes a hybrid current limiter topology suitable for generating a DC-side fault ride-through scheme. The current limiter employs a low-loss branch in steady-state conditions; when the fault occurs, a commutation capacitor and controllable power electronic devices are used to transfer the fault current to the current-limiting branch. To clarify the operating principles of the current limiter, the working states of each stage and electrical stress of each device are analyzed. Different components with varying limiter parameters are also discussed, and optimal parameters to achieve the best limitation effect are discussed. PSCAD simulations show that the proposed limiter can limit the overcurrent effectively, and DC-side fault clearance can be achieved easily with this fault ride-through strategy.

Modeling of flexible AC transmission system devices and fuzzy controller for automatic generation control of electric vehicle-injected power system

The automatic generation control (AGC) is a paradigm topic of interest that is continuously evolving for adequate power generation control in the power system. In this proposed study, a fuzzy adapted PID (FPID) controller is assigned for the AGC of the hybrid power system in various electrical risks and hazards. The hybrid power system includes traditional thermal and hydroelectric facilities along with gas and nuclear power plants. Two FACTS components, the superconducting magnetic energy storage (SMES) and the interline power flow controller (IPFC), have been included in to the system to improve stability of the system. The proposed FPID controller is developed to its full potential using the newly developed teaching learning-based optimization (TLBO) method. The TLBO technique's capability has been compared against a few common evolutionary strategies in order to demonstrate its superiority. It also shows how FPID controllers outperform traditional PID controllers. Investigations are also done on how IPFC and SMES might improve system stability performance. Owing to the outcome study, it is revealed that suggested TLBO-FPID, IPFC and SMES are most effective tool to advance the AGC mechanism. It is revealed from the outcomes that anticipated FPID controller reduces the settling time of area1 frequency (ΔF1) by 135.72 %, 428.58 % and 471.42 % over TLBO;PID, DE;PID and PSO;PI respectively. Finally, the proposed mechanisms are discussed with employing in electric vehicle integrated three-area distributed energy source-based power network to justify the efficacy of the proposed approaches.

Multi-Objective Optimization in the Presence of OGIPFC Using NSMMP Algorithm

Background: Customers expect quality, uninterrupted power with cost-effective electricity in the latest trend. However, outages, severe storms, old infrastructure, and cost pressures can lead to ambiguity in power generation and transmission. To improve line power transmission capability, the right flexible AC transmission systems (FACTS) device may save millions of dollars. Methods: In this study, a FACTS controller named Optimal Generalized Interline Power Flow Controller (OGIPFC) was developed. Furthermore, for optimization, the Modified Marine Predator Algorithm (MMPA), which is a modification of the recently developed Marine Predator Algorithm (MPA). The optimum technique was used to evaluate a set of prioritized considered objective minimizations. A variety of factors must be maximized, such as generation cost, emissions, and power loss. Results: The performance of the proposed algorithm was analysed on benchmark test functions, and then single objective optimization problems of standard IEEE-30 bus system were solved and compared with the existing algorithms. The proposed algorithm was restricted to solving the single objective problem only, so it was further implemented with non-dominating sorting to solve the multiobjective optimization problem. The proposed multi-objective version is named as Non-dominating Sorting Modified Marine Predator Algorithm (NSMMPA), and it was validated on benchmark test functions and the IEEE-30 bus system. Conclusion: Finally, the OPF problem was solved with the incorporation of OGIPFC using the proposed methods, which resulted in better solutions and made the system more effective in operation.

Double-Side Feeding and Reactive Power Compensation Using the Railway Interline Power Flow Controller

This paper gives an overview of the operating characteristics of the railway interline power flow controller (RIPFC) regarding the capability of transferring active power between two sections of an electrified railway line separated by a neutral zone and proposes its use for compensating the power factor at the substation instead of regulating the voltage level at the neutral zone. The basic analysis is based on simplified steady-state models for the energy supply architecture, while detailed time-domain simulations are used for more realistic tests. The paper mainly focus on active power balancing between two neighbouring substations and the global losses in the system. Other functionalities of the RIPFC system are also analysed, like reactive power compensation at the substations. The paper presents the main operating principles of the system, shows results for some representative scenarios (generic and reduced) and discusses the results. The most relevant conclusions are related to substation active power balancing and peak shaving, power factor compensation in the substation, voltage stability at the neutral zone and system power losses.

Frequency and Voltage Stabilization of Multiarea Hybrid Power System by Considering the Impact of Communication Time Delay

The integration of renewable energy sources (RES) with conventional sources plays a vital role in global energy systems. With the integration of RES, frequency and voltage variations are the major issues, which degrade system performance. In this study, an optimal controller is designed to mitigate these frequency and voltage variations by considering the effect of communication time delays in the multisource two-area power system. Area-1 comprises conventional generation units (i.e., thermal, hydro, and gas) whereas area-2 comprises wind, solar, and diesel power plants. Frequency oscillations are mitigated by a load frequency control loop and variations in terminal voltage are regulated by an automatic voltage regulation loop. To enhance the system response, redox flow batteries, and interline power flow controllers are integrated in the system. Moreover, physical constraints, i.e., generation rate constraint is accounted in reheat thermal and hydropower plants. The proposed sine cosine algorithm tuned Proportional Integral Derivative controller ensures that variations of frequencies, terminal voltages, and exchange of tie-line power will remain within tolerance limits. The system response on random loading is evaluated and a comparison is done with state-of-the-art controllers. As a result, the proposed controller provides better performance by minimizing the fluctuations of frequency and voltages.

Evaluation of renewable and energy storage system-based interlinked power system with artificial rabbit optimized PI(FOPD) cascaded controller

This research work addresses automatic generation control of multiple arenas and causes under various system disturbances. Sources within arena-1 comprises thermal, bio-diesel, in arena-2 sources represent thermal elements, in arena-3 sources are thermal and hydro units. An innovative endeavor has been undertaken to employ conglomerate controller with the amalgamation of proportional-integral (PI) (integer-order) in addition fractional order proportional-derivative (FOPD). Various examination manifests the fineness of PI(FOPD) overtop additional integer order controllers from perspective concerning reduced grade of crown overshoot, expanse-of-instabilities, crown undershoot in addition to subsiding period. In determination to attain the controller’s features biologically enthused meta-heuristic artificial rabbit optimization is pragmatic. The minimum cost function value has been achieved as 0.000309 for the artificial rabbit optimization in comparison to various established optimization technique along with the proposed PI(FOPD) controller. It is likewise detected that occurrence of inexhaustible sources like realistic dish-Stirling thermal system in arena-1, geothermal power plant and precise wind turbine system styles the structure meaningfully improved related to origin structure when judged exclusively or all together. Accomplishment in presence of interline power flow controller besides combination of energy stowage elements alike redox flow battery in addition solid oxide fuel cell is as well inspected using PI(FOPD) controller, that offers with notable consequence in dynamic presentation in each cases separately. It has been clearly observed that in presence of all the renewables, in case of frequency deviation crown overshoot, crown undershoot, and subsiding period are 0.0053, 0.0131, and 24.32 respectively. These values are showing improvements in comparison to the individual presence of renewables in each arena. Similarly, with the presence of both SOFC and RFB for tie line power between arena-1 and areana-3, the crown overshoot, crown undershoot, and subsiding period are 0.00018, 0.0013, and 22.63 respectively. These values are showing improvements in comparison to the individual presence of Solid Oxide Fuel Cell without battery energy storage in each arena. Also, PI(FOPD) parameters values at nominal condition are appropriate for random pattern of disturbance needs no optimization, which justified the reliability of the suggested controller.© 2017 Elsevier Inc. All rights reserved.

Coordination of time delay and GCSC for frequency stabilization of dual‐area interlinked microgrid using non‐integer controller optimization

AbstractThis study presents a novel frequency regulation solution for renewables (wind‐solar tower)‐bio (biodiesel‐biogas) cogenerated independent dual‐area interlinked microgrid power system (IµPS) with collective effect of time delay and flexible gate‐controlled series capacitor (GCSC). As a component, a non‐integer proportional fractional integral fractional derivative (PFIFD) controller is introduced whose dynamic responses is compared with integer order PID (IOPID) and fractional order PI (FOPI) controllers. The findings demonstrate that the suggested non‐integer PFIFD controller performs better than IOPID and FOPI at giving superior dynamic properties, such as different decision parameters and minimum error function (J). Subsequently, to obtain the optimally tuned controllers’ parameters, a recently developed yellow saddle goatfish technique (YSGA) is leveraged. In this study, the comparative effect of time delay, interline power flow controller (IPFC) and GCSC scheme have been analyzed under real time wind data in IµPS. Further, a meticulous sensitivity assessment of YSGA tuned PFIFD controller is performed under different uncertainties. The improved results show that the recommended YSGA‐based PFIFD controller offers a wonderful improvement in system frequency stability under a variety of situations, including system uncertainties, physical constraints, and significant renewables penetration. Finally, real‐time hardware‐in‐the‐loop (HIL) simulation platform is utilized to validate the proposed control approach.

Enhancing power system security using soft computing and machine learning

Purpose. To guarantee proper operation of the system, the suggested method infers the loss of a single transmission line in order to calculate a contingency rating. Methods. The proposed mathematical model with the machine learning with particle swarm optimization algorithm has been used to observe the stability analysis with and without the unified power flow controller and interline power flow controller, as well as the associated costs. This allows for rapid prediction of the most affected transmission line and the location for compensation. Results. Many contingency conditions, such as the failure of a single transmission line and change in the load, are built into the power system. The single transmission line outage and load fluctuation used to determine the contingency ranking are the primary emphasis of this work. Practical value. In order to set up a safe transmission power system, the suggested stability analysis has been quite helpful.

Investigation of the Transfer Capability of the Nigerian 330 kV, 58-bus Power System Network using FACTS Devices

Over the years, the Nigerian power system is beset with lingering problems, which include severe power losses, as well as very low transfer capability of the transmission network to evacuate power from generating stations to the load at the distribution level. Presently, the Nigerian power industry is undergoing restructuring, especially in the generation and distribution systems. In view of the deregulation of electricity distribution and marketing, the traditional practices of the Nigerian power system are undergoing changes to address the identified problems in the existing power system. Specifically, better utilization of the existing power transmission network to improve on the system transfer capability and minimize cost is one of the key focuses of the deregulation agenda. This work deals with the enhancement of transfer capability of Nigerian 58-bus, 330kV network using FACTS (Flexible Alternating Current Transmission System) devices. FACTS devices are used for controlling transmission voltage, power flow, reducing reactive power losses, and damping of power system oscillations for high power transfer capability. Three FACTS devices; Thyristor Controlled Series Compensator (TCSC), Unified Power Flow Controller (UPFC), and Interline Power Flow Controller (IPFC) were used to investigate the transfer capability of the Nigerian 58-bus power system network. NEPLAN was employed in this work to model the Nigerian 58-bus system and optimally placed the FACTS devices at the weakest buses that were found out through the computation for available transfer capability (ATC) after continuation power flow (CPF) simulation was completed. MATLAB codes were developed and used to calculate power transfer capability of the network without and with FACTS devices. Comparing the three FACTS devices, the results obtained showed that UPFC enhanced the power transfer capability of the network than TCSC and IPFC.

Optimal location of FACTs devices in LFC studies considering the application of RT-Lab studies and emperor penguin optimization algorithm

The application of Real-time lab (RT-Lab) software in Load frequency control studies of a multi-area-source system under deregulation is demonstrated. It is provided with thermal systems accompanying renewable sources like Precise wind turbine systems (PWTS) in area-1, 2 and Realistic dish stirling solar thermal system (RDSTS) in area-3. FACTs devices like accurate HVDC (AHVDC) transmission, Interline power flow controller (IPFC) and Thrysitor controlled series capacitor (TCSC) are provided. A maiden effort has been made to utilize a new cascade controller called TI-FOIDN as a supplementary controller. A recent meta-heuristic algorithm called emperor penguin optimizer (EPO) is used for controller, RDSTS and PWTS parameter optimization considering a new perfromance index named Hybrid peak area-integral squared error (HPA-ISE). It is also observed that dynamics of the system with optimum values of the parameters obtained with HPA-ISE are better. Moreover, when the system is simulated in RT-Lab software, system performance is found somewhat better than Matlab. Further, the use of renewable, AHVDC parallel with AC tie-line, IPFC and TCSC improve system responses.

Performance amelioration of concerted voltage‐frequency regulation of multiarea hybrid power systems under restructured pattern using electric vehicles and interline power flow controller

AbstractElectric power consumers need a stable and reliable electricity supply for their appliances. Voltage and frequency fluctuate owing to the gain in intermittent renewable energy sources in hybrid power systems (PSs). To mitigate these issues, this article proposed a new cascade controller named proportional‐derivative with filter and fractional‐order tilt‐integral‐derivative with filter (CPDN‐FOTIDN), controller for combined voltage and frequency control of three areas hybrid PS under deregulated environment. Hybrid PS comprises hydro, thermal, and geothermal power plant, modern electric vehicles (EVs), and interline power flow controller (IPFC). To make the analysis more realistic of the hybrid PS, more appropriate nonlinearities are considered. The artificial flora algorithm is employed for tuning controller parameters with several studies to obtain the desired response. Comparative analysis of dynamics responses reveals the superiority of the CPDN‐FOTIDN controller relative to PIDN and FOTIDN controllers under the three different power transactions. Investigations exhibited the performance enhancement of combined voltage and frequency control of hybrid PS after the integration of EVs into the considered system. Simulation results show that the EVs are a quick response in the presence of a CPDN‐FOTIDN controller compared to TID, and FOTID controllers during the system disturbance. Inter‐area oscillations improve after integration of IPFC into the system and the optimal location was found between area 1 and 2. Sensitivity studies demonstrated the sturdiness of the proposed controller against a wide variation of the system loading.

Optimal power flow solution with current injection model of generalized interline power flow controller using ameliorated ant lion optimization

<span lang="EN-US">Optimal power flow (OPF) solutions with generalized interline power flow controller (GIPFC) devices play an imperative role in enhancing the power system’s performance. This paper used a novel ant lion optimization (ALO) algorithm which is amalgamated with Lévy flight operator, and an effectual algorithm is proposed named as, ameliorated ant lion optimization (AALO) algorithm. It is being implemented to solve single objective OPF problem with the latest flexible alternating current transmission system (FACTS) controller named as GIPFC. GIPFC can control a couple of transmission lines concurrently and it also helps to control the sending end voltage. In this paper, current injection modeling of GIPFC is being incorporated in conventional Newton-Raphson (NR) load flow to improve voltage of the buses and focuses on minimizing the considered objectives such as generation fuel cost, emissions, and total power losses by fulfilling equality, in-equality. For optimal allocation of GIPFC, a novel Lehmann-Symanzik-Zimmermann (LSZ) approach is considered. The proposed algorithm is validated on single benchmark test functions such as Sphere, Rastrigin function then the proposed algorithm with GIPFC has been testified on standard IEEE-30 bus system.</span>

Security Enhancement of Power Systems through Interline Power Flow Controller (IPFC) under Contingency Condition: A Case Study and Analysis‐EEP 400 kV System

Increasing contingency issues result in inevitable bus voltage violations and force the system to operate around its limit. This situation creates strains that are faced by the security of the Ethiopian Electric Power (EEP) 400 kV system. In this paper, the static security assessment (SSA) of the system under the base and N-1 contingency scenarios was examined by using Newton-Raphson (NR) method. The Bus and line loading-based composite severity indices (CSI) were utilized to determine the state of the system and to get an optimal location for interline power flow controller (IPFC) placement. In this research, the optimal sizing of IPFC was done by using Grey Wolf Optimization (GWO) algorithm. From N-1 contingency analysis, Gelan to Sebeta and Gelan to Holeta branches were found as optimal places for IPFC placement. The IPFC optimal parameters were the series voltage and angle injection found as Vse1 = 0.1101pu, Vse2=0.1096pu, δse1=-0.1848rad, and δse2=2.7682rad with the optimal size of 50 MVA for each IPFC. The average bus voltage severity index (BVSI) without and with IPFC cases was found as 217.243% and 2.641% respectively. The average line severity index (LSI) without and with IPFC cases were found as 39.448% and 15.283% respectively. Moreover, the total line loss under severe N-1 contingency scenarios without and with IPFC integration was 437.783 MW and 63.136 MW respectively. From analysis, it was observed and concluded that the static security of the EEP 400 kV system under N-1 contingency conditions is effectively improved by the integration of IPFC.

Analysis and Comparison of Performance of Interline Power Flow Controller with Various Control Algorithms under Various Power Stability Problems

The Interline Power Flow Controller (IPFC) is a voltage source converter based Flexible AC Transmission System (FACTS) controller for series compensation and power flow management among a substation's multiline transmission systems. Individual Voltage Source Converters (VSC) can inject reactive voltage that can be adjusted to manage active power flow in a line. This VSC is used to convert DC voltage to AC voltage and the voltage is kept constant in the entire process. In this article, a circuit model for IPFC is constructed, and a simulation of an interline power flow controller is performed, with control performed utilizing a variety of algorithms, including adaptive weighted feedback, gravitational search, BAT, and ANT colony optimization. The system's performance was evaluated in a variety of scenarios, including fault incidence, synchronous load connection, and asynchronous load connection. The design of system and analysis of system has been carried out using MATLAB Simulink in terms of various parameters at point of common coupling like voltage, current, power and power factor.

Probabilistic multi‐objective optimization method for interline power flow controller (IPFC) allocation in power systems

Probabilistic multi‐objective optimization method for interline power flow controller (IPFC) allocation in power systems