Optimum Generation Scheduling

Optimum Generation Scheduling:

Optimum Generation Scheduling – From the unit commitment table of a given plant, the fuel cost curve of the plant can be determined in the form of a polynomial of suitable degree by the method of least squares fit. If the transmission losses are neglected, the total system load can be optimally divided among the various generating plants using the equal incremental cost criterion of Eq. (7.10). It is, however, unrealistic to neglect transmission losses particularly when long distance transmission of power is involved.

A modern electric utility serves over a vast area of relatively low load density. The transmission losses may vary from 5 to 15% of the total load, and therefore, it is essential to account for losses while developing an economic load dispatch policy. It is obvious that when losses are present, we can no longer use the simple ‘equal incremental cost’ criterion. To illustrate the point, consider a two-bus system with identical generators at each bus (i.e. the same IC curves). Assume that the load is located near plant 1 and plant 2 has to deliver power via a lossy line. Equal incremental cost criterion would dictate that each plant should carry half the total load; while it is obvious in this case that the plant 1 should carry a greater share of the load demand thereby reducing transmission losses.

In this section, we shall investigate how the load should ,be shared among various plants, when line losses are accounted for. The objective is to minimize the overall cost of generation

Optimum Generation Scheduling

at any time under equality constraint of meeting the load demand with transmission loss, i.e.

Optimum Generation Scheduling

Where

k = total number of generating plants

PGi = generation of ith plant

PD = sum of load demand at all buses (system load demand)

PL = total system transmission loss

To solve the problem, we write the Lagrangian as

Optimum Generation Scheduling

It will be shown later in this section that, if the power factor of load at each bus is assumed to remain constant, the system loss PL can be shown to be a function of active power generation at each plant, i.e.      Optimum Generation Scheduling

Thus in the optimization problem posed above, PGi (i = 1, 2, …, k) are the only control variables.

For Optimum Generation Scheduling real power dispatch,

Optimum Generation Scheduling

Rearranging Eq. (7.22) and recognizing that changing the output of only one plant can affect the cost at only that plant, we have

Optimum Generation Scheduling

where

Optimum Generation Scheduling

is called the penalty factor of the ith plant.

The Lagrangian multiplier λ is in rupees per megawatt-hour, when fuel cost is in rupees per hour. Equation (7.23) implies that minimum fuel cost is obtained, when the incremental fuel cost of each plant multiplied by its penalty factor is the same for all the plants.

The (k + 1) variables (PG1, PG2,… PGK, λ) can be obtained from k optimal dispatch Eq. (7.23) together with the power balance Eq. (7.19). The partial derivative δPL / δPGi is referred to as the incremental transmission loss (ITL)i, associated with the ith generating plant.

Equation (7.23) can also be written in the alternative form

Optimum Generation Scheduling

This equation is referred to as the exact coordination equation.

Thus it is clear that to solve the Optimum Generation Scheduling problem, it is necessary to compute ITL for each plant, and therefore we must determine the functional dependence of transmission loss on real powers of generating plants. There are several methods, approximate and exact, for developing a transmis­sion loss model. A full treatment of these is beyond the scope of this book. One of the most important, simple but approximate, methods of expressing transmission loss as a function of generator powers is through B-coefficients. This method is reasonably adequate for treatment of loss coordination in economic scheduling of load between plants. The general form of the loss formula (derived later in this section) using B-coefficients is

Optimum Generation Scheduling

Optimum Generation Scheduling

If PGs are in megawatts, Bmn are in reciprocal of megawatts. Computations, of course, may be carried out in per unit. Also, Bmn = Bnm.

Equation (7.26) for transmission loss may be written in the matrix form as

Optimum Generation Scheduling

WhereOptimum Generation Scheduling

It may be noted that B is a symmetric matrix.

For a three plant system, we can write the expression for loss as

Optimum Generation Scheduling

With the system power loss model as per Eq. (7.26), we can now write

Optimum Generation Scheduling

Optimum Generation Scheduling

It may be noted that in the above expression other terms are independent of PGi and are, therefore, left out.

Simplifying Eq. (7.29) and recognizing that Bij = Bji, we can write

Optimum Generation Scheduling

Assuming quadratic plant cost curves as

Optimum Generation Scheduling

We obtain the incremental cost as

Optimum Generation Scheduling

Substituting δPL/δPGi and dCi/dPGi from above in the coordination Eq. (7.22), we have

Optimum Generation Scheduling

Collecting all terms of PGi and solving for PGi, we obtain

Optimum Generation Scheduling

For any particular value of λ, Eq. (7.32) can be solved iteratively by assuming initial values of PGis(a convenient choice is PGi= 0; i = 1, 2, …, k). Iterations are stopped when PGis converge within specified accuracy.

Equation (7.32) along with the power balance Eq. (7.19) for a particular load demand PD are solved iteratively on the following lines:

Optimum Generation Scheduling Optimum Generation Scheduling

If yes, stop. Otherwise go to step 6.

Optimum Generation Scheduling

Updated: March 22, 2020 — 8:30 pm