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A study of the homogeneous algorithm for dynamic economic dispatch with network constraints and transmission losses
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Citations
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References
2000
Year
Mathematical ProgrammingEngineeringPower Grid OperationOperations ResearchEnergy OptimizationSystems EngineeringCombinatorial OptimizationDynamic Economic DispatchHip AlgorithmNetwork ConstraintsHomogeneous AlgorithmComputer EngineeringPower System OptimizationPower NetworkNonlinear Inequality ConstraintsUnit CommitmentSmart GridEnergy ManagementHomogeneous Interior PointDynamic ProgrammingGrid OptimizationDynamic Optimization
This paper presents a study of the homogeneous interior point (HIP) method for the economic dispatch problem that combines both independent blocks of constraints (generation demand balance, network flows) and coupling constraints (ramping) into a single optimization problem. By approximating the network constraints through the DC load flow, and the transmission losses through the B-matrix loss formula, the problem is reduced to a convex optimization problem that possesses nonlinear inequality constraints and free variables. The HIP algorithm is specialized in solving this problem, it yields either an approximate global optimum solution or detects possible infeasibility or unboundedness of the problem. The algorithm is tested on the IEEE 14, 30, 57, and 118 bus test systems dispatched over 10 half-hour intervals. The results show that the algorithm is practically efficient.
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