scholarly journals A Novel Approach of Synchronization of Microgrid with a Power System of Limited Capacity

2021 ◽  
Vol 13 (24) ◽  
pp. 13975
Author(s):  
Anvari Ghulomzoda ◽  
Murodbek Safaraliev ◽  
Pavel Matrenin ◽  
Svetlana Beryozkina ◽  
Inga Zicmane ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Real Life ◽  
Limited Capacity ◽  
Local Power ◽  
Optimization Task ◽  
Synchronization Algorithm ◽  
Novel Approach ◽  
External Power ◽  
Generating Equipment

Currently, active networks called microgrids are formed on the basis of local power supply systems with a small share of distributed generation. Microgrids operating in an island mode, in some cases, have the ability to transfer electricity excess to an external network leading to a synchronization requirement; thus, the optimization task in terms of the system’s synchronization must be considered. This paper proposes a method for obtaining synchronization between microgrids and power systems of limited capacity based on a passive synchronization algorithm, allowing us to connect a microgrid to an external power system with a minimum impact moment on the shaft of the generating equipment. The algorithm application was demonstrated by considering a real-life object in Tajikistan. The simulation was carried out on RastrWin3. The obtained results show that the microgrid generator is connected to an external power system at an angle of 0.3° and a power surge of 29 kW, unlike the classical synchronization algorithm with an angle of 6.8° and a power surge of 154 kW (a reduction of the shock moment by more than five times). The proposed synchronization method allows us to reduce the resource consumption of the generating equipment and increase the reliability and efficiency of the functioning units of the examined power system.

Ant lion optimized hybrid intelligent PID-based sliding mode controller for frequency regulation of interconnected multi-area power systems

2020 ◽  
Vol 42 (9) ◽  
pp. 1594-1617
Author(s):  
Gomaa Haroun AH ◽  
Yin-Ya Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Sliding Mode ◽  
Photovoltaic System ◽  
Frequency Regulation ◽  
Sliding Mode Controller ◽  
Physical Constraints ◽  
Optimization Task ◽  
Suggested Technique ◽  
Ant Lion

In this article, a novel hybrid intelligent Proportional Integral Derivative (PID)-based sliding mode controller (IPID-SMC) is proposed to solve the LFC problem for realistic interconnected multi-area power systems. The optimization task for best-regulating parameters of the suggested controller structure is fulfilled by the ant lion optimizer (ALO) technique. To assess the usefulness and practicability of the suggested ALO optimized IPID-SMC controller, three test systems – that is, four-area hybrid power system, two-area reheat thermal-photovoltaic system and two-area multi-sources power system – are employed. Different nonlinearities such as generation rate constraint (GRC) and governor dead band (GDB) as a provenance of physical constraints are taken into account in the model of the two-area multi-sources power systems to examine the ability of the proposed strategy for handling the practical challenges. The acceptability and novelty of the ALO-based IPID-SMC controller to solve the systems mentioned above are appraised in comparison with some recently reported approaches. The specifications of time-domain simulation disclose that the designed proposed controller provides a desirable level of performance and stability compared with other existing strategies. Furthermore, to check the robustness of the suggested technique, sensitivity analysis is fulfilled by varying the operating loading conditions and plant parameters within a particular tolerable range.

scholarly journals An Interval Mathematic-Based Methodology for Reliable Resilience Analysis of Power Systems in the Presence of Data Uncertainties

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6632
Author(s):  
Antonio Pepiciello ◽  
Alfredo Vaccaro ◽  
Loi Lei Lai
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transition Probabilities ◽  
Transient State ◽  
Data Uncertainty ◽  
Transition Matrices ◽  
Power Networks ◽  
Novel Approach ◽  
Impact Events

Prevention and mitigation of low probability, high impact events is becoming a priority for power system operators, as natural disasters are hitting critical infrastructures with increased frequency all over the world. Protecting power networks against these events means improving their resilience in planning, operation and restoration phases. This paper introduces a framework based on time-varying interval Markov Chains to assess system’s resilience to catastrophic events. After recognizing the difficulties in accurately defining transition probabilities, due to the presence of data uncertainty, this paper proposes a novel approach based on interval mathematics, which allows representing the elements of the transition matrices by intervals, and computing reliable enclosures of the transient state probabilities. The proposed framework is validated on a case study, which is based on the resilience analysis of a power system in the presence of multiple contemporary faults. The results show how the proposed framework can successfully enclose all the possible outcomes obtained through Monte Carlo simulation. The main advantages are the low computational burden and high scalability achieved.

Increasing the regulating ability of a wind turbine in a local power system using magnetic continuous variable transmission

2018 ◽  
Vol 42 (5) ◽  
pp. 411-435 ◽  
Author(s):  
Sergey N Udalov ◽  
Andrey A Achitaev ◽  
Alexander G Pristup ◽  
Boris M Bochenkov ◽  
Yuri Pankratz ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Continuously Variable Transmission ◽  
Local Power ◽  
Diesel Generator ◽  
Gas Turbine Unit ◽  
Variable Transmission ◽  
Autonomous Power System

The paper is devoted to investigations of dynamic processes in a local power system consisting of wind turbines with a magnetic continuously variable transmission. Due to low inertia of wind turbine generator rotors, there is a problem of ensuring dynamic stability at sharp load changes or at short circuits in an autonomous power system. To increase dynamic stability of the system, two algorithms for controlling a magnetic continuously variable transmission are presented. The first algorithm stabilizes a rotation speed of the high-speed rotor of a magnetic continuously variable transmission from the generator side in a local power system consisting of wind turbines with uniform synchronous generators with permanent magnets having equal moments of inertia. Undoubtedly, local power systems having only the wind turbines with equal mechanical inertia time constants are not widely used due to stochastic nature of wind energy. Therefore, wind power systems are combined with a diesel generator or a gas-turbine unit. Investigations show that the use of the only speed stabilization algorithm is not enough for such power systems, because there is a possibility for occurrence of asynchronous operation under specific power changes due to the difference in moments of inertia of generator rotors. Thus, the second algorithm uses the phase shift compensation in accordance with a primary generator in an autonomous power system consisting of non-uniform generators having different mechanical inertia time constants. As a primary generator, a diesel generator or a gas-turbine unit having a primary speed controller may be used. It should be noted that algorithms of stabilization for speed and phase angle are extended by an inertial circuit of aerodynamic compensation for torque of rotation from the wind turbine side to reduce loading on an energy storage unit of the magnetic continuously variable transmission at disturbances from the generator side and the turbine side.

scholarly journals The Efficiency of Distributed and Centralized Power System Integration

2019 ◽  
Vol 114 ◽  
pp. 05007 ◽  
Author(s):  
Felix Byk ◽  
Yana Frolova ◽  
Ludmila Myshkina
Keyword(s):  
Power Systems ◽  
Power System ◽  
Distributed Generation ◽  
Power Supply ◽  
Power Plants ◽  
Power Supply System ◽  
Supply System ◽  
Technical Solution ◽  
Local Power ◽  
The Impact

The existing centralized power supply system has the alternative due to distributed generation. By certain conditions distributed cogeneration allows to increase the reliability and quality of power supply and to reduce the cost of electricity for consumers. Therefore, a lot of energy-intensive consumers switched to their own power supply systems, as it turned out to be a competitive technical solution. The total gasification of the country’s regions and the presence of domestic manufacturers of gas turbine and gas piston power plants accelerated this process. Nowadays local power systems are emerging with cogeneration plants are the main source of heat and electricity there. The feasibility justification of the kind and type of generation is determined by many factors, including circuit-mode parameters in the local power system and adjacent network. Local power systems based on the principles of self-balance are proposed to name as energy cells. The integration of energy cells with regional power system increases the technical and economic effectiveness of power supply system for consumers. The proposed power systems transition leads to certain systemic effects. Received effects are depending on functions of distributed generation. This paper explores the impact of scheme and mode factor on the technical effects.

scholarly journals Bi-Objective Optimization Model for Optimal Placement of Thyristor-Controlled Series Compensator Devices

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2601
Author(s):  
Mohammad Reza Salehizadeh ◽  
Mahdi Amidi Koohbijari ◽  
Hassan Nouri ◽  
Akın Taşcıkaraoğlu ◽  
Ozan Erdinç ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Weather Conditions ◽  
Congestion Management ◽  
Optimal Placement ◽  
Novel Approach ◽  
Simulation Results ◽  
Increasing Demand ◽  
Thyristor Controlled Series Compensator

Exposure to extreme weather conditions increases power systems’ vulnerability in front of high impact, low probability contingency occurrence. In the post-restructuring years, due to the increasing demand for energy, competition between electricity market players and increasing penetration of renewable resources, the provision of effective resiliency-based approaches has received more attention. In this paper, as the major contribution to current literature, a novel approach is proposed for resiliency improvement in a way that enables power system planners to manage several resilience metrics efficiently in a bi-objective optimization planning model simultaneously. For demonstration purposes, the proposed method is applied for optimal placement of the thyristor controlled series compensator (TCSC). Improvement of all considered resilience metrics regardless of their amount in a multi-criteria decision-making framework is novel in comparison to the other previous TCSC placement approaches. Without loss of generality, the developed resiliency improvement approach is applicable in any power system planning and operation problem. The simulation results on IEEE 30-bus and 118-bus test systems confirm the practicality and effectiveness of the developed approach. Simulation results show that by considering resilience metrics, the performance index, importance of curtailed consumers, congestion management cost, number of curtailed consumers, and amount of load loss are improved by 0.63%, 43.52%, 65.19%, 85.93%, and 85.94%, respectively.

scholarly journals Decentralized Robust Saturated Control of Power Systems Using Reachable Sets

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Hisham M. Soliman ◽  
Hassan A. Yousef ◽  
Rashid Al-Abri ◽  
Khaled A. El-Metwally
Keyword(s):  
Power Systems ◽  
Power System ◽  
External Disturbance ◽  
Input Saturation ◽  
Power Grids ◽  
Linear Matrix ◽  
Large Power ◽  
Saturated Control ◽  
Novel Approach ◽  
Highly Nonlinear

Electric power grids are highly nonlinear complex systems. This manuscript presents a novel approach to the stabilization of large power systems. The proposed control satisfied three constraints: decentralization, input saturation imposed in practice, and robustness against load changes. The large power system is decomposed into subsystems, for each a decentralized controller is designed. The effect of the rest of the system on each subsystem is considered as an external disturbance and represented in norm-bounded form. A new approach to solve this problem is proposed in the present paper. The approach is based on the method of invariant ellipsoids, and the tool of linear matrix inequalities (LMI) is utilized to solve the resulting optimization problem. Control of multimachine power system is studied using the proposed control. Comparison with other techniques is also given.

A novel approach of closeness centrality measure for voltage stability analysis in an electric power grid

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Isaiah G. Adebayo ◽  
Yanxia Sun
Keyword(s):  
Power Systems ◽  
Power System ◽  
Voltage Stability ◽  
Closeness Centrality ◽  
Voltage Instability ◽  
Load Demand ◽  
Electric Power Grid ◽  
Novel Approach ◽  
Critical Nodes ◽  
Enhancement Technologies

AbstractModern power systems are increasingly becoming more complex and thus become vulnerable to voltage collapse due to constant increase in load demand and introduction of new operation enhancement technologies. In this study, an approach which is based on network structural properties of a power system is proposed for the identification of critical nodes that are liable to voltage instability. The proposed Network Structurally Based Closeness Centrality (NSBCC) is formulated based on the admittance matrix between the interconnection of load to load nodes in a power system. The vertex (node) that has the highest value of NSBCC is taken as the critical node of the system. To demonstrate the significance of the concept formulated, the comparative analysis of the proposed NSBCC with the conventional techniques such as Electrical Closeness Centrality (ECC), Closeness Voltage Centrality (CVC) and Modal Analysis is performed. The effectiveness of all the approaches presented is tested on both IEEE 30 bus and the Southern Indian 10-bus power systems. Results of simulation obtained show that the proposed NSBCC could serve as valuable tool for rapid real time voltage stability assessment in a power system.

scholarly journals Power System Stabilizer Tuning Algorithm in a Multimachine System Based on S-Domain and Time Domain System Performance Measures

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5644
Author(s):  
Predrag Marić ◽  
Ružica Kljajić ◽  
Harold R. Chamorro ◽  
Hrvoje Glavaš
Keyword(s):  
Power Systems ◽  
Power System ◽  
Time Domain ◽  
Synchronous Generator ◽  
Pole Placement ◽  
Power System Stabilizer ◽  
Weight Functions ◽  
Novel Approach ◽  
The Time Domain ◽  
System Stabilizer

One of the main characteristics of power systems is keeping voltages within given limits, done by implementing fast automatic voltage regulators (AVR), which can raise generator voltage (i.e., excitation voltage) in a short time to ceiling voltage limits while simultaneously affecting the damping component of the synchronous generator electromagnetic torque. The efficient way to increase damping in the power system is to implement a power system stabilizer (PSS) in the excitation circuit of the synchronous generator. This paper proposes an enhanced algorithm for PSS tuning in the multimachine system. The algorithm is based on the analysis of system participation factors and the pole placement method while respecting the time domain behavior of the system after being subdued with a small disturbance. The observed time-domain outputs, namely active power, speed, and rotor angle of the synchronous generator, have been classified and validated with proposed weight functions based on the minimal square deviation between the initial values in a steady-state and all sampled values during the transitional process. The system weight function proposed in this algorithm comprises s-domain and time-domain indices and represents a novel approach for PSS tuning. The proposed algorithm performance is validated on IEEE 14-bus system with a detailed presentation of the results in a graphical and table form.

Identification of External Power System Linear Dynamic Equivalents as MIMO Feedback Blocks for the Study System

2007 ◽  
Vol 8 (5) ◽  
Author(s):  
Hamed Shakouri G. ◽  
Hamid Lesani ◽  
Ali Mohammad Ranjbar ◽  
Hamidreza Radmanesh
Keyword(s):  
Power Systems ◽  
Power System ◽  
Single Machine ◽  
System Analysis ◽  
Dynamic Effects ◽  
Power Networks ◽  
Power System Analysis ◽  
Linear Dynamic ◽  
External Power ◽  
Single Machine Infinite Bus

The necessity of dynamic equivalents for power system analysis has been well known since the expansion of large interconnected power networks, and has been discussed during the last decades. The present paper proposes a new method for constructing dynamic equivalents of power systems. In this method, at the first step the ``study system" is modeled completely via a single machine-infinite bus modeling procedure. Then the ``external system" is identified as a MIMO feedback block of this model in such a manner that can include dynamic effects of the latter on the behavior of the former. The method is successfully experimented on a part of the Iranian southern network.

scholarly journals Evaluation Framework of the Deficit and Reliability Quality Measures of the Transmission System

2021 ◽  
Vol 11 (2) ◽  
pp. 6930-6934
Author(s):  
A. S. Alshammari ◽  
B. M. Alshammari ◽  
T. Guesmi ◽  
R. Abbassi
Keyword(s):  
Power Systems ◽  
Power System ◽  
Large Scale ◽  
Evaluation Method ◽  
Sparse Matrix ◽  
Real Life ◽  
Transmission System ◽  
Evaluation Framework ◽  
Transmission Capacity ◽  
Evaluation Methodology

Power system planning faces various issues related to reliability and quality evaluation. The power system network planning is by nature a complex, huge-scale, and mixed-objective optimization problem, especially when concerning its non-linear behavior and the requirements of future unknown loads. In this regard, the electric power utilities attempt to maintain a balance between the generation energy, the transmission capacity, and the needed demand. The main purpose of the current paper is to utilize modern modeling techniques and computational procedures, including the advanced deficit transmission system evaluation method and sparse-matrix network analysis algorithms, in order to evaluate, with sufficient accuracy, the deficit and reliability levels in practical real-life large-scale power systems. The new evaluation methodology is based on three quantities representing the relationship between the generation push in the grid, the maximum limitation of the transmission capacity, and the needed load. The main contribution of the paper is assessing the deficit transmission system index with novel formulas.

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