Reconfiguration

Open Access Article

1 - Multi-Objective Operation of the Distribution System Including Wind Turbines, Taking Into Account the Minimization of Environmental Pollution in the Network
Reza Sedaghati

Introduction: The ever-increasing growth of consumption loads and the necessity of proper, timely and reliable supply of power networks require a new attitude in the optimal operation of power systems and lines more than ever. On the other hand, in recent years, there h More

Introduction: The ever-increasing growth of consumption loads and the necessity of proper, timely and reliable supply of power networks require a new attitude in the optimal operation of power systems and lines more than ever. On the other hand, in recent years, there has been a lot of support for distributed generation sources based on renewable energies, especially wind turbines. One of the main problems of wind turbines is the problem of extreme wind fluctuations and the dependence of output power on wind speed. Parallel to this problem, in the discussion of network management, the error caused by forecasting the consumption load in the future can also lead to the problem becoming more and more difficult. One of the suitable techniques without initial cost is the method of network topology reconfiguration with the objective of improving the network situation. Materials and Methods: Therefore, in this research, in order to investigate the problem of reconfiguration of the distribution network with the presence of wind turbine sources, a new method for their simultaneous management has been presented. A multi-objective function is considered to reduce the active losses of the network, reduce the overall costs of the network, improve the voltage profile of the existing buses, and reduce the total emissions generated by the network, which uses the firefly optimization algorithm to minimize it. Results and Discussion: Solving the problem of renewing the structure by considering the uncertainty caused by wind turbines is considered. The presence of wind resources in the network has been able to significantly reduce the objective functions. Conclusion: The results of this research showed that the American land reclamation method is better than the other mentioned methods because it has estimated more flow in flood calculation. An important result of flood zoning resulting from the breaking of Tangab dam is that the urban area of Firozabad is safe from this flood and the villages are not flooded as far as the studied area is concerned. Based on the obtained results, it can be concluded that the result of the possible failure of the dam, based on this research, the flood caused by the failure of the dam, except for 1 hectare of the industrial sector, which is a very small area, will cause damage only to agricultural lands. Manuscript profile

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2 - Market-based Method for Reconfiguration of Distribution Networks Using Mine Blast Algorithm (MBA)
Sajjad Niroomand Alireza Bakhshinejad Mehdi Tabasi

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3 - A learning automaton-based approach for power loss minimization and voltage profile enhancement in large-scale distribution systems
Mohammad Bagher Moradi Siamak Najjar Karimi amir hossin jalali

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4 - Raising Power Quality and Improving Reliability by Distribution Network Reconfiguration in the Presence of Renewable Energy Sources
Mohamad Taghi Babajani BaghmisheZad Hosein NasirAghdam

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5 - Optimal Active Distribution Network Reconfiguration for Loss and Supply Cost Minimization Using Grey Wolf Algorithm
katayun Rahmati Reza Ebrahimi Vahid Parvin Darabad

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6 - Smart Power Distribution Network Reconfiguration based on the Graph Theory and Particle Swarm Optimization
Hassan Chahi Javad Mashayekhifard Ghasem Faezian

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Open Access Article

7 - Providing a novel approach for dynamic feeder reconfiguration considering importance of reliability and grid's security
Hossein Lotfi Reza Ghazi Mohammad Bagher Naghibi Sistani

This paper presents, a novel evolutionary method for dynamic feeder reconfiguration at the presence of distributed generators (DGs), energy storage (ES) units and solar photovoltaic (PV) panels. Modern distribution networks, in addition to the importance of economic iss More

This paper presents, a novel evolutionary method for dynamic feeder reconfiguration at the presence of distributed generators (DGs), energy storage (ES) units and solar photovoltaic (PV) panels. Modern distribution networks, in addition to the importance of economic issues, must operate at an acceptable level of system reliability, Failure to pay attention to the reliability importance can lead to irreparable damages in the distribution network. Regarding the importance of the objective functions including voltage stability index (VSI), energy loss and energy not supplied (ENS) has led to the presentation of a stochastic multi-objective framework for dynamic feeder reconfiguration in the presence of distributed generators (DGs), energy storage (ES) units and solar photovoltaic (PV) panels considering uncertainty of PV units. A modified shuffled frog leaping algorithm is provided in this study to solve the proposed optimization problem. In order to show the efficiency and supremacy of the proposed method is applied on 33-node test system. Manuscript profile

Open Access Article

8 - Coordination of Switchable Capacitor Banks and Dynamic Network Reconfiguration for the Improvement of Distribution Network Operation integrated with Renewable Energy Resources
Ramin Borjali Navesi Daryoosh Nazarpour Akbari Reza Ghanizadeh Payam Alemi

Wind turbines and photovoltaic arrays are the most prominent and widely used intermittent Distributed Generations (DGs). Due to the right-of-way, environmental, economical and other restrictions, the connection of this type of DGs to the preferred point of the distribut More

Wind turbines and photovoltaic arrays are the most prominent and widely used intermittent Distributed Generations (DGs). Due to the right-of-way, environmental, economical and other restrictions, the connection of this type of DGs to the preferred point of the distribution network is very difficult or in some cases impossible. Therefore, because of non-optimal locations, they may cause a voltage rise at the Points of Common Coupling (PCCs). In this paper, a coordinated design of Switchable Capacitor Banks (SCBs) with dynamic reconfiguration of the distribution network is proposed to avoid low and high voltage violations. For this purpose, distribution network reconfiguration is implemented to mitigate voltage rise at PCCs and Capacitor Banks (CBs) to solve the low voltage problem. A novel method is presented for determining the optimal size of CBs. The proposed Capacitor Sizing Method (CSM) effectively determines the optimal values of reactive power for the given nodes. The optimal locations of SCB are determined using particle swarm optimization algorithm. The 24–hour reactive power curve optimized by the proposed method plays a pivotal role in designing SCBs. The simulation results show that the implementation of the dynamic network reconfiguration and SCBs placement is required to maintain a standard voltage profile for better employment of DG embedded distribution networks. Manuscript profile

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9 - Presenting a Novel Hybrid Approach for Multi-Objective Distribution Feeder Reconfiguration Considering the Importance of Reliability
Benyamin Katanchi Ali Asghar Shojaei Mahdi Yaghoobi

Since it might delay making significant expenditures in substations and generation, increasing the efficiency of power systems is an important priority. By altering the status of switches, the distribution feeder reconfiguration (DFR) can reduce system losses in this re More

Since it might delay making significant expenditures in substations and generation, increasing the efficiency of power systems is an important priority. By altering the status of switches, the distribution feeder reconfiguration (DFR) can reduce system losses in this regard. Power loss and voltage deviation of buses are frequently taken into account as objective functions while solving the distribution feeder reconfiguration problem, however reliability indices have received less consideration. The proposed reliability index, coupled with power loss and switching number in the presence of distributed generators, are used in this study to address DFR as a multi-objective problem. The DFR problem is complex inherently, considering impacts of distributed generators makes the problem more be complex than before. For this purpose, an evolutionary method based on the combination of particle swarm optimization and modified shuffled frog leaping has been used to solve the nonlinear optimization problem in this study. Two 33-bus and 70-bus systems are evaluated to gauge the effectiveness of the suggested hybrid algorithm. Manuscript profile

Open Access Article

10 - Joint NetWork Reconfiguration and Capacitor Placement by Bactrial Foraging Algorithm
Mohammad Ali Mohammadnia Ali Akbar Gharaveisi

Power system engineers are forced to place more emphasis on reducing losses at the distribution level. From an economic perspective, Joint network reconfiguration and capacitor placement is one of the best ways to save energy. Application of heuristic technique is unavo More

Power system engineers are forced to place more emphasis on reducing losses at the distribution level. From an economic perspective, Joint network reconfiguration and capacitor placement is one of the best ways to save energy. Application of heuristic technique is unavoidable, because of expansion of distribution networks and becoming more complex connections in these grids. In view of this, for the first this paper investigates the ability of Bacterial Foraging Algorithm (BFA) for Joint network reconfiguration and capacitor placement. Manuscript profile

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11 - Novel Fuzzy-IWO Method for Reconfiguration Simultaneous Optimal DG Units Allocation
Hajar Bagheri Mahmood Reza Shakarami

This paper presents a new hybrid method for optimal multi-objective reconfiguration simultaneous determining the optimal size and location of Distributed Generation (DG) in a distribution feeder. The purposes of this research are reducing the losses, improving the volta More

This paper presents a new hybrid method for optimal multi-objective reconfiguration simultaneous determining the optimal size and location of Distributed Generation (DG) in a distribution feeder. The purposes of this research are reducing the losses, improving the voltage profile and equalizing the feeder load balancing in a distribution system. Invasive Weed Optimization (IWO) is used to simultaneously reconfigure and identify the optimal capacity and location for installation of DG units in the distribution network. In order to facilitate the algorithm for multi-objective search ability, the optimization problem is formulated for minimizing fuzzy performance indices. The multi-objective optimization problem is transformed into a fuzzy inference system (FIS), where each objective function is quantified into a set of fuzzy objectives selected by fuzzy membership functions. The proposed method is validated using the IEEE 33 bus test system at nominal load. The obtained results prove this combined technique is more accurate and has an efficient convergence property compared to other intelligent search algorithms. Also, the obtained results lead to the conclusion that multi-objective reconfiguration along with placement of DGs can be more beneficial than separate single-objective optimization. Manuscript profile

Open Access Article