Active Electrical Distribution Network. Группа авторов

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Active Electrical Distribution Network - Группа авторов


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execution to envisage the effect of a distinct possibility of getting contingency in the system lines is a monotonous task due to the huge sizes and complication of the network. It has been found that only selected contingencies may result in severe situations in the power system and these can be tackled through precise contingency analysis. The procedure implemented for investigating and evaluating these conditions of overcrowding of power lines is referred to as contingency analysis, which can be done by calculating performance indices for each contingency criterion [15]. The analysis of such situations provides the eminent output of digital computing technologies of managing the various performance criteria, such as Energy Management Systems, SCADA systems, etc. The focus of these systems is primarily to give the network operator information regarding statistics improvement, grid security status, reliability, contingency, etc. Technically this is achieved by conducting a power flow analysis as there is the possibility of single or many contingency scenarios in the network, including lines, transformers, and generators. A mathematical execution of a contingency analysis is a critical function because of its prodigious extent of an information-gathering process in the execution of a problem [16]. It is considered as the most significant process in distribution system planning and operation. It has mainly been found that a line outage may lead to overburdened branches, sudden system voltage variations resulting in huge losses to the system in terms of economy, efficiency, and execution of all-important performance parameters, so the contingency analysis is often used to calculate violations in the predefined norms of the distribution system [17].

      3.3.1.4 Reverse Power Flow Due to Inappropriate Allocation of Distributed Generators

      3.3.1.5 Reactive Power Management

      3.3.1.6 Voltage Profile Management

      3.3.1.7 Network Restructuring

      Due to the low-voltage–high-current operating scenarios of the distribution system, I2R losses are the major concern of DNOs and need to be taken care off to improve the performance of the system. Network restructuring is one of the methods to deal with this problem, which is generally used in low-voltage distribution systems. It is a very effective and conclusive method to save the electrical energy. Distribution systems consist of a large number of interconnected radial and mesh networks. The network configuration and structures of distribution systems may be varied through switching operations to reallocate loads in the feeders with exhaustive planning. This can be executed through two types of switches, which are often used in primary as well as secondary distribution systems:

       Sectionalizing switches (normally closed switches) or

       Tie switches (normally open switches)

      These types of switches are particularly structured for protection and configuration supervision of complicated distribution systems. Network reconfiguration is the commonly used process of altering the distribution systems topology by changing the open/closed position of the switches. Reconfiguration is primarily applied for:

      1 Service restoration during faulty conditions

      2 Load balancing forrelease of overburdened power lines andto improve the overall voltage profile

      3 Planning the line outages for maintenance conditions and

      4 Loss reduction

      Loss minimization executed by the switching operation is found to be the elementary control action in network restructuring. The prime activity is the closing of the switches in an opened branch and opening the switch in a closed one by maintaining the network state radial. However, due to the possibility of several candidates switching combinations in the system at the same time, it is a complex combinatorial problem. This distinct feature of the availability of numerous switch combinations makes it a discrete optimization.

      3.3.1.8 Impacts of Distributed Generator Insertion


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