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Problem 3 : Economic dispatch with network constraints In this problem, you will implement a solver to solve the economic dispatch problem with a general

Problem 3: Economic dispatch with network constraints
In this problem, you will implement a solver to solve the economic dispatch problem with a
general power network.
For a power network with n buses and m lines, the inputs of your solver include:
Network data:
Number of buses n, number of lines m
Susceptances binRm
Node-edge incidence matrix AinRnm
Flow capacities: ?bar(f)inRm
Generator data:
For convenience, we assume there is a generator at every bus. For a bus where
there is not actually a generator, we can simply set the corresponding generation
capacity to be zero.We work with quadratic generator costs:
Ci(pi)=ipi2+ipi.
We are given inR+n and inRn.
Minimum and maximum allowed generation level: pmininRn and pmaxinRn.
Again, for buses without a generator, we have pimin=pimax=0.
Load data:
We work with inelastic loads and are given linRn.
Your solver should solve the economic dispatch problem with network constraints and
produce the outputs listed below:
Solver status: solved, infeasible or unbounded
Depending on the data, the problem may not have a well-defined solution. If it
has a finite solution J***=-nRninRnfinRmJ***2,3,4,5,6,9,10,11,12,13,14==1(6,12)-, the solver status reported should be solved.
If the problem does not have any feasible point, the solver status reported should
be infeasible. If the problem is unbounded below soJ***=-, the solver status
reported should be unbounded.
Generator dispatch: nRn
Phase angles: inRn
Line flows: finRm
Optimal cost: J***
(a) Implement the solver described above in Matlab (or any other language).
(b) Consider the IEEE 14-bus test case shown below. The generator buses are 1,2,3,6,
The load buses are 2,3,4,5,6,9,10,11,12,13,14. Suppose ==1; all
generator minimum generation level is0 and maximum generation level is10; all loads
are 1 ; all lines have susceptance -1 except line (6,12) which has susceptance -2 ; all line
capacities are 2. Solve the economic dispatch problem with this set of inputs using
your solver and report the outputs. Need help determining these inputs in the code code: Ain = np.zeros([]) # Node-edge incidence matrix (replace with actual data)
b = np.array([]) # Flow capacities (replace with actual data)
c = np.array([]) # Generator costs (replace with actual data)
p_min = np.zeros(n) # Minimum generation level
p_max = np.array([10]* n) # Maximum generation level
l = np.array([1]*10+[-1]*10) # Load data
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