scholarly journals Minimization of Network Power Losses in the AC-DC Hybrid Distribution Network through Network Reconfiguration Using Soft Open Point

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 326
Author(s):  
Muhammad Omer Khan ◽  
Abdul Wadood ◽  
Muhammad Irfan Abid ◽  
Tahir Khurshaid ◽  
Sang Bong Rhee
Keyword(s):  
Distribution System ◽  
Distribution Network ◽  
Distribution Networks ◽  
Energy Resources ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Network Configuration ◽  
Hybrid Distribution ◽  
Open Point ◽  
Network Power

The Alternating Current-Direct Current (AC-DC) hybrid distribution network has received attention in recent years. Due to advancement in technologies such as the integration of renewable energy resources of DC–type output and usage of DC loads in the distribution network, the modern distribution system can meet the increasing energy demand with improved efficiency. In this paper, a new AC-DC hybrid distribution network architecture is analyzed that considers distributed energy resources (DER) in the network. A network reconfiguration scheme is proposed that uses the AC soft open point (AC-SOP) and the DC soft open point (DC-SOP) along with an SOP selection algorithm for minimizing the network power losses. Subsequently, the real-time data for DER and load/demand variation are considered for a day-a-head scenario for the verification of the effectiveness of the network reconfiguration scheme. The results show that the proposed network reconfiguration scheme using AC-SOP and DC-SOP can successfully minimize the network power losses by modifying the network configuration. Finally, the effectiveness of the proposed scheme in minimizing the network power losses by the upgraded network configuration is verified by constructing an AC-DC hybrid distribution network by combining two IEEE 33-bus distribution networks.

scholarly journals Optimisasi Multi-objektif pada Rekonfigurasi Jaringan Distribusi Tenaga Listrik dengan Integrasi Pembangkit Terdistribusi Menggunakan Metode Sistem Kekebalan Buatan

2020 ◽  
Vol 12 (2) ◽  
pp. 57-71
Author(s):  
Ramadoni Syahputra ◽  
Indah Soesanti
Keyword(s):  
Network Optimization ◽  
Load Balance ◽  
Distribution Network ◽  
Reducing Power ◽  
Distribution Networks ◽  
Operating Conditions ◽  
Network Reconfiguration ◽  
Multi Objective Optimization ◽  
Power Losses ◽  
Multi Objective

This study proposes a multi-objective optimization for power distribution network reconfiguration by integrating distributed generators using an artificial immune system (AIS) method. The most effective and inexpensive technique in reducing power losses in distribution networks is optimizing the network reconfiguration. On the other hand, small to medium scale renewable energy power plant applications are growing rapidly. These power plants are operated on-grid to a distribution network, known as distributed generation (DG). The presence of DG in this distribution network poses new challenges in distribution network operations. In this study, the distribution network optimization was carried out using the AIS method. In optimization, the goal to be achieved is not only one objective but should be multiple objectives. Multi-objective optimization aims to reduce power losses, improve the voltage profile, and maintain a maintained network load balance. The AIS method has the advantage of fast convergence and avoids local minima. To test the superiority of the AIS method, the distribution network optimization with and without DG integration was carried out for the 33-bus and 71-bus models of the IEEE standard distribution networks. The results show that the AIS method can produce better system operating conditions than before the optimization. The parameters for the success of the optimization are minimal active power losses, suitable voltage profiles, and maintained load balance. This optimization has successfully increased the efficiency of the distribution network by an average of 0.61%.

scholarly journals Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques

2015 ◽  
Vol 5 (4) ◽  
pp. 788
Author(s):  
Su Mon Myint ◽  
Soe Win Naing
Keyword(s):  
Radial Distribution ◽  
Power Dissipation ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Network ◽  
Network Reconfiguration ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Losses ◽  
Voltage Profile Improvement

Nowadays, the electricity demand is increasing day by day and hence it is very important not only to extract electrical energy from all possible new power resources but also to reduce power losses to an acceptable minimum level in the existing distribution networks where a large amount of power dissipation occurred. In Myanmar, a lot of power is remarkably dissipated in distribution system.  Among methods in reducing power losses, network reconfiguration method is employed for loss minimization and exhaustive technique is also applied to achieve the minimal loss switching scheme. Network reconfiguration in distribution systems is performed by opening sectionalizing switches and closing tie switches of the network for loss reduction and voltage profile improvement. The distribution network for existing and reconfiguration conditions are modelled and simulated by Electrical Transient Analyzer Program (ETAP) 7.5 version software. The inputs are given based on the real time data collected from 33/11kV substations under Yangon Electricity Supply Board (YESB). The proposed method is tested on 110-Bus, overhead AC radial distribution network of Dagon Seikkan Township since it is long-length, overloaded lines and high level of power dissipation is occurred in this system. According to simulation results of load flow analysis, voltage profile enhancement and power loss reduction for proposed system are revealed in this paper.

scholarly journals Power losses evaluation in low voltage distribution network: a case study of 250 kVA, 11/0.416 kV substation

2022 ◽  
Vol 25 (1) ◽  
pp. 35
Author(s):  
Emad Hussen Sadiq ◽  
Rakan Khalil Antar ◽  
Safer Taib Ahmed
Keyword(s):  
Distribution System ◽  
Low Voltage ◽  
Distribution Network ◽  
Distribution Networks ◽  
System Capacity ◽  
Power Losses ◽  
Three Phase ◽  
The Right ◽  
A Current

Nowadays, the electrical system is more complicated duet to the continuous growing. Power losses is the biggest challenges for distribution network operators. There are several causes for technical losses. Losses caused by unbalanced phase current are one of the main reasons which can be minimized by small investment through dedicating a technical line staff. As a result of connecting many single loads to three phase four wire power supplies, the current flowing in each phase will be unequal and accordingly there will be a current flowing in the neutral wire. Unbalancing currents in phases can lead to increase the conductor temperature and accordingly the conductor resistance is higher which contribute to increase the power losses. Loss reduction can lead to enormous utility saving. Besides, it increases system capacity and save more money which can be used later for future planted system. This study concentrated on the amount of copper losses in distribution networks as a result of unequal loading of the three phases four wires network. The distribution network is more efficient and more economic assuming that the right procedure is applied to balance the distribution system and achieve the required calculations which require a little investment.

scholarly journals Optimal Site and Size of Distributed Generator in Distribution Network Considering Active Power Loss Minimization

2020 ◽  
Vol 18 (02) ◽  
pp. 11-20
Author(s):  
Aamir Ali ◽  
M. Usman Keerio ◽  
Noor Hussain Mugheri ◽  
Munawar Ayaz Memon ◽  
Erum Pathan
Keyword(s):  
Distribution System ◽  
Distribution Network ◽  
Reducing Power ◽  
Distribution Networks ◽  
Optimal Choice ◽  
Optimal Decision ◽  
Optimization Approach ◽  
Solar Pv ◽  
Power Losses ◽  
Optimal Site

Distributed Generation (DG) allocation in distribution network is an optimal choice in maximizing benefits and reducing power losses. In this paper, self-adaptive differential evolution (SaDE), an optimization approach, is used for optimal site and capacity of DG. Different types of DGs such as solar PV and wind turbine (WT) at constant and near unity power factor are integrated into the distribution system. For validation of the proposed algorithm, IEEE 33-bus, 69-bus and 119-bus radial distribution networks are considered. The results show that the proposed algorithm has the ability to find global minimum value of objective function along with the appropriate site and capacity of solar PV and WT type DG. Moreover, the results of proposed method are compared with other existing techniques in order to show its effectiveness. The comparison shows that the proposed technique has the ability to get the lowest power losses with the smallest DG size. Thus, the proposed technique has the ability to find an optimal decision vector that makes it suitable for real-time applications.

scholarly journals Optimal Site and Size of Distributed Generator in Distribution Network Considering Active Power Loss Minimization

2020 ◽  
Vol 18 (02) ◽  
pp. 11-20
Author(s):  
Aamir Ali ◽  
M. Usman Keerio ◽  
Noor Hussain Mugheri ◽  
Munawar Ayaz Memon ◽  
Erum Pathan
Keyword(s):  
Distribution System ◽  
Distribution Network ◽  
Reducing Power ◽  
Distribution Networks ◽  
Optimal Choice ◽  
Optimal Decision ◽  
Optimization Approach ◽  
Solar Pv ◽  
Power Losses ◽  
Optimal Site

Distributed Generation (DG) allocation in distribution network is an optimal choice in maximizing benefits and reducing power losses. In this paper, self-adaptive differential evolution (SaDE), an optimization approach, is used for optimal site and capacity of DG. Different types of DGs such as solar PV and wind turbine (WT) at constant and near unity power factor are integrated into the distribution system. For validation of the proposed algorithm, IEEE 33-bus, 69-bus and 119-bus radial distribution networks are considered. The results show that the proposed algorithm has the ability to find global minimum value of objective function along with the appropriate site and capacity of solar PV and WT type DG. Moreover, the results of proposed method are compared with other existing techniques in order to show its effectiveness. The comparison shows that the proposed technique has the ability to get the lowest power losses with the smallest DG size. Thus, the proposed technique has the ability to find an optimal decision vector that makes it suitable for real-time applications.

scholarly journals Power System Reconfiguration in Distribution Network for Improving Reliability Using Genetic Algorithm and Particle Swarm Optimization

2021 ◽  
Vol 11 (7) ◽  
pp. 3092
Author(s):  
Omar Kahouli ◽  
Haitham Alsaif ◽  
Yassine Bouteraa ◽  
Naim Ben Ali ◽  
Mohamed Chaabene
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Distribution System ◽  
Distribution Network ◽  
Mathematical Formulation ◽  
Particle Swarm ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Swarm Optimization ◽  
Power Distribution System

This paper presents an optimal method for optimizing network reconfiguration problems in a power distribution system in order to enhance reliability and reduce power losses. Network reconfiguration can be viewed as an optimization problem involving a set of criteria that must be reduced when adhering to various constraints. The energy not supplied (ENS) during permanent network faults and active power losses are the objective functions that are optimized in this study during the reconfiguration phase. These objectives are expressed mathematically and will be integrated into various optimization algorithms used throughout the study. To begin, a mathematical formulation of the objectives to be optimized, as well as all the constraints that must be met, is proposed. Then, to solve this difficult combinatorial problem, we use the exhaustive approach, genetic algorithm (GA), and particle swarm optimization (PSO) on an IEEE 33-bus electrical distribution network. Finally, a performance evaluation of the proposed approaches is developed. The results show that optimizing the distribution network topology using the PSO approach contributed significantly to improving the reliability, node voltage, line currents, and calculation time.

scholarly journals Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung

2017 ◽  
Vol 1 (2) ◽  
pp. 17
Author(s):  
Machrus Ali ◽  
Dwi Ajiatmo ◽  
Muhammad Ruswandi Djalal
Keyword(s):  
Artificial Intelligence ◽  
Distribution System ◽  
Distribution Network ◽  
Imperialist Competitive Algorithm ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Competitive Algorithm ◽  
Long Time ◽  
Distribution System Reliability ◽  
Opening And Closing

The reconfiguration distribution network is used to reset the network configuration form by opening and closing switches on the distribution network. Reconfiguration is expected to reduce power losses and improve distribution system reliability. Many feeders and buses on the network if calculated manually will be difficult and require a very long time. So the solution of the problem must use artificial intelligence or Artificial Intelligent (AI). Imperialist Competitive Algorithm (ICA) widely used research in solving the optimization problem. Some studies comparing ICA with other artificial intelligence and ICA produce better results than other artificial intelligence. MICA is an ICA modification designed to solve a discrete combination of optimizations. MICA can find the best network reconfiguration so that it can reduce power loss by 35,7928% and fix voltage 0,0185 pu. This method can later use other artificial intelligence or can be applied to other repeater. So it can be used for recommendations to PT. PLN (Persero)

Penataan Kembali Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithm (MFA) Pada Penyulang Jogorogo Ngawi

2017 ◽  
Vol 8 (2) ◽  
pp. 86-91
Author(s):  
Machrus Ali ◽  
Rukslin Rukslin
Keyword(s):  
Artificial Intelligence ◽  
Optimization Problems ◽  
Distribution Network ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Long Time ◽  
Radial Distribution Networks ◽  
Opening And Closing

The configuration of radial distribution networks is very diverse and difficult to simplify. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches found on the distribution network. Reconfiguration of the distribution network is needed to reduce power losses and improve system reliability. The number of feeders and buses on the network requires a very long time if calculated manually. Because of that, it is necessary to solve problems using artificial intelligence or AI. Firefly Algorithms (FA) are widely used in research to solve optimization problems. Modified Firefly Algorithms (MFA) is an FA modification designed to solve optimization problems in a discrete combination. MFA can find the best network reconfiguration so that it can reduce losses and improve the voltage at the end point of this method can later use other artificial intelligence or can be applied to other feeders, so as to reduce electrical energy losses.

scholarly journals Probabilistic Load Flow–Based Optimal Placement and Sizing of Distributed Generators

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7857
Author(s):  
Ferdous Al Hossain ◽  
Md. Rokonuzzaman ◽  
Nowshad Amin ◽  
Jianmin Zhang ◽  
Mahmuda Khatun Mishu ◽  
...  
Keyword(s):  
Distribution System ◽  
Distribution Network ◽  
Operating Cost ◽  
Distribution Networks ◽  
Load Flow ◽  
Optimal Placement ◽  
Power Losses ◽  
Power Distribution System ◽  
Power Load ◽  
Point Estimation Method

Distributed generation (DG) is gaining importance as electrical energy demand increases. DG is used to decrease power losses, operating costs, and improve voltage stability. Most DG resources have less environmental impact. In a particular region, the sizing and location of DG resources significantly affect the planned DG integrated distribution network (DN). The voltage profiles of the DN will change or even become excessively increased. An enormous DG active power, inserted into an improper node of the distribution network, may bring a larger current greater than the conductor’s maximum value, resulting in an overcurrent distribution network. Therefore, DG sizing and DG location optimization is required for a systematic DG operation to fully exploit distributed energy and achieve mutual energy harmony across existing distribution networks, which creates an economically viable, secure, stable, and dependable power distribution system. DG needs to access the location and capacity for rational planning. The objective function of this paper is to minimize the sum of investment cost, operation cost, and line loss cost utilizing DG access. The probabilistic power flow calculation technique based on the two-point estimation method is chosen for this paper’s load flow computation. The location and size of the DG distribution network are determined using a genetic algorithm in a MATLAB environment. For the optimum solution, the actual power load is estimated using historical data. The proposed system is based on the China distribution system, and the currency is used in Yuan. After DG access, active and reactive power losses are reduced by 53% and 26%, respectively. The line operating cost and the total annual cost are decreased by 53.7% and 12%, respectively.

Penataan Kembali Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithm (MFA) Pada Penyulang Jogorogo Ngawi

2017 ◽  
Vol 8 (2) ◽  
pp. 86-91
Author(s):  
Machrus Ali ◽  
Miftachul Ulum
Keyword(s):  
Artificial Intelligence ◽  
Optimization Problems ◽  
Distribution Network ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Long Time ◽  
Radial Distribution Networks ◽  
Opening And Closing

The configuration of radial distribution networks is very diverse and difficult to simplify. Reconfiguration of the distribution network is used to reset the network configuration form by opening and closing switches found on the distribution network. Reconfiguration of the distribution network is needed to reduce power losses and improve system reliability. The number of feeders and buses on the network requires a very long time if calculated manually. Because of that, it is necessary to solve problems using artificial intelligence or AI. Firefly Algorithms (FA) are widely used in research to solve optimization problems. Modified Firefly Algorithms (MFA) is an FA modification designed to solve optimization problems in a discrete combination. MFA can find the best network reconfiguration so that it can reduce losses and improve the voltage at the end point of this method can later use other artificial intelligence or can be applied to other feeders, so as to reduce electrical energy losses.

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