Network development planning along with production

Number of pages: 51 File Format: word File Code: 30905
Year: 2014 University Degree: Master's degree Category: Electrical Engineering
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    Dissertation for master's degree in the field of power oriented electrical engineering

    Abstract

    In this thesis, a new method for the optimal location of power plants has been discussed in order to simultaneously optimize production and network development. In the considered optimization problem, the goal is to choose the type and capacity of new power plants and the time and place of their construction so that all the objectives of the optimization problem are met. In this research, while modeling the aforementioned optimization problem, applying the cost index by considering the investment cost, production cost, unsupplied energy cost and maintenance cost has been attempted and it has been discussed in a new perspective in power grid planning. Based on this, the purpose of the research was to minimize the cost and better location of the power plants. Also, in the present research, genetic algorithm was used to solve the mentioned problem, and the software package prepared was tested on a Garver test power network with a design horizon of 10 years, and its results were compared with the ant colony algorithm method. Keywords: production development planning, transmission development planning, investment, location. Power plant, ant colony algorithm

    Planning the development of power plants is one of the most important parts of planning the development of power networks. Transmission networks are responsible for the transmission of produced electrical energy, the purpose of which is to find a suitable model for the development of power plants, which, by constructing them, while supplying the energy needed by consumers in a reliable manner, the lowest cost is also imposed on the network to supply loads, and the network also achieves the highest level of stability, and the losses of transmission lines by power plants are in their optimal conditions. Based on this, in the aforementioned planning, it should be determined when and where new power plants of the same capacity should be built in order to meet the above goals. This planning is usually done for a period of 10 to 20 years.[1] 

    Researches carried out regarding planning the development of production and location of power plants can be examined in three cases: firstly, the objective function of the mentioned optimization problem, secondly, the type of restrictions, are considered, and finally, the method of solving the optimization problem is used. Based on this, in many researches, the goal has been to minimize costs and better location. 1-2 Introduction to Simultaneous Development Planning The total practical capacity of power plants installed in a power grid must be equal to the total power required by all consumers plus the total power losses, the total internal power consumption of substations and power plants, and a percentage as a rotating reserve in the studied time frame, if the total capacity If the efficiency of the installed power plants is less than the required amount, a combination of new power plants should be added to the total network with minimum cost. In development planning, the goal is to determine the type, capacity, construction location and time of entry of new power plant units to meet the balance of production and consumption in the network and with the lowest possible cost. To determine the location of power plants, it is necessary to consider how the load is distributed in the studied area, along with the environmental restrictions for the construction of power plants, the limits of transmission lines for the transmission of production power, and fuel supply limits. Due to the large dimensions of the production system development planning problem, it is usually divided into two separate problems. In the first problem, which is called the problem of planning the development of the production system in the network, the determination of the location of the power plants is omitted and only the type of power plants, their arrival time and capacity are determined. The second problem is usually that it is assumed that the first problem has been solved and as a result the type of power plants, their arrival time and capacity are known. Now, taking into account factors such as geographical distribution of load, environmental restrictions and fuel supply, transmission network structure, etc., the discussion of power plant location is followed. On the other hand, the distance of power plants from consumption centers may lead to an increase in the cost of developing transmission lines, or the large distance of power plants from fuel centers may lead to an increase in production costs. Considering the above factors, it cannot be said that planning the development of production in the single-bus network is an optimal plan, but due to the difficulty of planning considering the location of the power plants at the same time, usually the discussion of the location of the power plants is considered separately.Considering the above factors, it cannot be said that planning the development of production in the single-bus network is an optimal plan, but due to the difficulty of planning considering the location of the power plants at the same time, usually the issue of the location of the power plants is considered separately. The cost of developing power plants and operating them in a power system depends on the location of the power plants. 1-3 Transmission Planning The transmission system is considered as one of the main infrastructures of the electricity industry of any country. Because in addition to creating a connection between the production and distribution of electric energy, it provides a comprehensive and reliable platform for producers and consumers. Therefore, the design and planning of a suitable and flexible transmission system is of particular importance. The task of dynamic transmission network development planning (DTNEP), which is also interpreted as long-term planning in some sources, is to determine the location and time of construction of new transmission lines along with the relevant technical specifications (such as number, type, voltage level, etc.). To develop the transmission network in accordance with the growth of the load and the result of planning the development of the production network in the studied period until the delivery of electric energy to the load centers is done in the most economical way possible, taking into account a set of operational restrictions and reliability. While in STNEP, only the number and location of construction lines required for a specific horizon year is determined and for the sake of simplification, the time parameter is removed from the unknowns of the problem.  In the meantime, the structure of the distribution lines is radial, while the above distribution and transmission lines are not of this type.  In terms of line development planning, transmission and super distribution network development methods are almost in the same category and the same methods are used for their development and they have almost the same model, while distribution lines are different from the two in terms of model and development planning. The transmission network is an accurate model of this problem.

    In the case of the development of transmission lines, the type and time of need for the lines are taken into consideration.  In this case, it is assumed that the amount of loads of posts and production centers is known and the production is sufficient [22 and 1].  The researches conducted in this field have been different from each other in terms of problem solving method, considering the horizon year, competitiveness of the system and optimization tools.  The first step towards the precise planning of the transmission network development problem is to express a precise model of this problem.  In general, the network development model includes tools that select network development options from among the available options and by adding them to the existing network, it can provide an optimal plan for network development. To measure the reliability of a system, first the system is broken into components and the reliability of the system is expressed in terms of the reliability of its components. To calculate the reliability of each component based on the available statistical data, a model is selected for the failure rate and its parameters are estimated based on the available data.

    Reliability investigation has been considered in recent years in the design, planning and operation of power systems. Among the problems in this study, it can be mentioned that the information is scattered at different levels, so that it can respond to problems such as: *random breakdown of production equipment (forced shutdown). It is the maintenance and maintenance of fuel production equipment for the units. *Changes in the new capacity expected to come on line, for example, delay or cancellation due to financial and other restrictions. which in this research is planned by the long-term (dynamic) planning method.

    Power networks have three basic components, production, transmission and distribution. Transmission networks are in charge of transferring electric energy produced by power plants to distribution networks.

  • Contents & References of Network development planning along with production

    Table of Contents:

    Table of Contents

    Title

    Page

    Chapter One: Production Development Planning

    1-1 Introduction ..

    2

    2-1 Concurrent Development Planning.

    2

    3-1 Transfer Development Planning.

    3

    4-1 Line Development Planning.

    4

    5-1 Reliability.

    4

    1-6 Summary of Chapter One.

    6

    Chapter Two: Transmission Network Planning

     

    1-2 Introduction.

    7

    2-2 Development lines.

    8

    2-3 Garver network.

    9

    2-4 genetic algorithm.

    10

    2-4-1 Darwin's evolutionary theory.

    10

    2-5 ant colony algorithm.

    11

    2-5-1 History..

    11

    2-6 Features of Ant Algorithm.

    12

    2-7 Advantages of ACO.

    12

    2-8 Applications of Ant Algorithm.

    13

    Chapter Three: Objective Function

    3-1 introduction..

    15

    3-2 production development planning modeling.

    15

    3-3 objective function..

    16

    3-3-1 investment cost of power plant development and line development.

    16

    3-3-2 maintenance cost Power plants.

    16

    3-3-3 cost of unsupplied energy.

    17

    3-3-4 loss cost.

    17

    3-3-5 Total investment costs for simultaneous development.

    17

    3-4 function limitations.

    18

    3-4-1 network reservation rate.

    18

    3-4-2 calculation of power network reliability.

    18

    3-4-5 load constraint..

    18

    3-5 flow chart of genetic algorithm used in optimization.

    19

    3-5-1 chromosome structure in solution Problem. 19. 3-5-2 Production of the initial population. 19. 3-5. Intersection, mutation and selection operators. 19. Chapter 4: Case studies. 4-1 Introduction. 23.

    2-4 parameters of the problem.

    23

    4-2-1 specifications of existing power plants.

    24

    4-2-2 restrictions related to existing power plants.

    24

    4-2-3 specifications of candidate power plants.

    25

    4-2-4 restrictions related to

    25

    4-2-5 existing lines.

    26

    4-2-6 candidate lines.

    28

    4-2-7 Buses..

    29

    4-2-8 Garver system test schematic.

    30

    4-3 simulation results.

    31

    4-4 investment in genetic algorithm.

    31

    4-5 optimal location of power plants.

    32

    4-5-1 results of optimizing the location of new power plants in genetic algorithm.

    32

    4-6 location In Morchegan's algorithm. 33 4-6-1 The results of optimizing the location of new power plants in ants' algorithm. 4-6-2 The results of locating three power plants. 4-7 The results of locating power plants. 34

    5-1 Summary and conclusion.

    36

     

     

     

    List of tables

    Title

    Page

    Table (4-1) specifications and types of power plants in the network.

    24

    Table (4-2) related restrictions Existing power plants.

    24

    Table (4-3) specifications and types of candidate power plants.

    25

    Table (4-4) restrictions related to candidate power plants.

    26

    Table (4-5) information of existing system lines.

    27

    Table (4-6) information of candidate lines System.

    28

    Table (4-7) of the information of the trains.

    29

    Table (4-8) of the results of the location of power plants in the 6-base network of Garver.

    34

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Network development planning along with production