As discussed earlier, the ED problem deals with the optimal allocation of total load demand PD amongst n-number of units. The objective function for the ED problem is presented below.
The problem is to minimize the function Eq.(1.3) subject to the satisfaction of constraints.
where CTotal is the total cost of generation and PG1, PG2,…, PGn are individual generations of n-number of units. The ED problem may be treated as parameter (cost) optimization subject to the satisfaction of system constraints. System constraints are of two types:
Equality constraints
These constraints are due to functional dependencies. Let f and g have functional dependencies and the problem is to minimize the function f (x1, x2, x3), where x1, x2, x3 are variables whose values are computed such that the given function f is minimized. The computed values of x1, x2, and x3 are said to be optimal when they minimize both the function f and satisfy the following equality constraints which are described by a set of equations:
In the ED problem, the equality constraint functional dependency equations are static power flow equations. For optimized scheduling of generation cost for the given demand, there is a necessity for static power flow equations to be satisfied. The other equality constraint is that sum of power generation by individual units must be equal to the total power demand as:
or
Inequality constraints
The following inequality constraints may be included in the ED problem.
The above constraints are basically control parameters, which are required to be within their limits for satisfactory operation of the power system. Though the primary interest is minimization of objective functions, owing to operational limitations these constraints are important and hence must be included in the study.
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