2014-Economic dispatch.pdf

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    Economic Dispatch of Thermal

    Unit

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    Economic Dispatch

    Economic Dispatch (ED) yaitu menentukankeluaran (dispatch) daya masing-masing unit

    pembangkit pada kondisi beban tertentu

    sehingga biaya produksi dapat diminimalkan.

    Pada Economic Dispatch (ED) beban sistem

    dialokasikan diantara unit-unit pembangkit

    secara optimal untuk memenuhi persamaan

    kesetimbangan daya dan batasan operasisistem dan masing-masing unit pembangkit.

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    The Economic Dispatch Problem

    Consider a system that consists of N thermal-generating units serving an aggregated electrical

    load, Pload 

    input to each unit: cost rate of fuel consumed, Fi 

    output of each unit: electrical power generated, Pi 

    total cost rate, FT, is the sum of the individual unit

    costs

    Essential constraint:

    the sum of the output powers must equal the load

    demand

    the problem is to minimize FT 

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    Problem Formulation

    Problem Formulation :

    Objective Function

    Min FT

    FT = F1 + F2 + F3 + ... + FN

    Subject to constraint :

     P  P    Load 

     N 

    i

    1

    )(1

     P  F    i

     N 

    i

    iT  F   

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    Solution Methods

    Mathematical Programming (Heuristical) based Lagrange Relaxation (LR)

    Lambda Iterative method

    Gradient Search (projection) method

    Newton’s method

    Dynamic Programming (DP) method

    Linear Programming (LP) or Non Linear Programming (NLP) methods

     Artificial intelligent based methods

    Genetic Algorithm (GA), Simulated Annealing (SA), Evolutionary

    Programming (EP), Differential Evolution (DE), Particle Swarm

    Opimization (PSO). Hybrid methods

    Combine two or more techniques previously mentioned in order to get

    best features in each algorithm

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    Lagrange Relaxation Methods

    ED Problem may be solved using the Lagrangefunction

    In order to establish the necessary conditions for

    an extreme value of the objective function, add

    the constraint function to the objective function

    after the constraint function has been multiplied

    by an undetermined multiplier ().

    This is known as the Lagrange function

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    LR Principle

    The Lagrange function establishes the necessary conditionsfor finding an extrema of an objective function with constraints

    The necessary conditions for an extreme value of the objective

    function result when we take the first derivative of the

    Lagrange function with respect to each of the independent

    variables and set the derivatives equal to zero.

    Thus

    The necessary condition for the existence of a minimum costoperating condition for the thermal power system is that the

    incremental cost rates of all the units be equal to some

    undetermined value.

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    Example

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    Example Solution

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    Exercise

    The input - output characteristics of twogenerating units are as follows:

    F 1 = 0.0008 P12 + 0.2 P1 + 5

    F 2 = 0.0005 P22 + 0.3 P2 + 4 Determine the economic operation point for

    these two units when delivering a total of

    500 MW power demand.

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    LR Principle (2)

    We must add the constraint equation that the sum of thepower outputs must be equal to the power demanded by

    the load.

    In addition, there are two inequalities that must be

    satisfied for each of the units. The power output of each unit must be greater than or equal to

    the minimum power permitted

    and must also be less than or equal to the maximum power 

    permitted on that particular unit.

    Thus

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    When we recognize the inequality constraints,then the necessary conditions may be expanded

    slightly

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    Example (2)

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    Economic Dispatch With Network Losses

    Consider a similar system, which now has atransmission network that connects the generating

    units to the load

    The economic dispatch problem is slightly more

    complicated The constraint equation must include the network

    losses, Ploss

    The objective function, FT is the same as before

    The constraint equation must be expanded as:

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    The transmission network loss is a function of the impedances and the

    currents flowing in the network

    for convenience, the currents may be considered functions of the

    input and load powers

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    Solution Procedure

    The same math procedure is followed to establish thenecessary conditions for a minimum-cost operating

    solution

    it is more difficult to solve this set of equations

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    Example (3)

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    Task

    Do Problem 3.1. and 3.3Book : Power Generation Operation and

    Control, Allen J. Wood.