Optimization with PYPOWER

Warning

The optimization with pypower functionality does not have the best convergence properties. Therefore, even if the network configuration is appropriate as an optimization problem, e.g. easily checked by pandapower.opf_task(), pandapower.runopp() may not converge.

You can run an Optimal Power Flow using the PYPOWER OPF

AC OPF

The internal solver uses the interior point method. By default, the initial state is the center of the operational constraints. Another option would be to initialize the optimisation with a valid loadflow solution. For optimiation of a timeseries, this warm start possibilty could imply a significant speedup. This is not yet provided in the actual version, but could be an useful extension in the future.

References:

  • “On the Computation and Application of Multi-period Security-Constrained Optimal Power Flow for Real-time Electricity Market Operations”, Cornell University, May 2007.

  • H. Wang, C. E. Murillo-Sanchez, R. D. Zimmerman, R. J. Thomas, “On Computational Issues of Market-Based Optimal Power Flow”, IEEE Transactions on Power Systems, Vol. 22, No. 3, Aug. 2007, pp. 1185-1193.

  • R. D. Zimmerman, C. E. Murillo-Sánchez, and R. J. Thomas, “MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education,” Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12-19, Feb. 2011.

DC OPF

The dc optimal power flow is a linearized optimization of the grid state. It offers two cost function options, that are fitting special use cases. To understand the usage, the DC OPF tutorial is recommended.

Flexibilities, costs and constraints (except voltage constraints) are handled as in the Optimisation problem. Voltage constraints are not considered in the DC OPF, since voltage magnitutes are not part of the linearized power flow equations.

Note

If you are interested in the pypower casefile that pandapower is using for power flow, you can find it in net[“_ppc_opf”]. However all necessary informations are written into the pandpower format net, so the pandapower user should not usually have to deal with pypower.