Hopp

* Add Wind + PV + Battery + PEM Electrolyzer analysis to examples in `H2_Analysis`
* Add default scenario inputs for hydrogen as end product with result files
* Add files for simulating, optimizing and plotting Wind + PV + Battery + PEM Electrolyzer hybrids
* Add a PEM electrolyzer model to hybrid (not integrated into HybridSimulation)
* Separate power and financial simulations for PowerSoures and HybridSimulation
* Fix multiprocessing issues
* Updates to integrate FLORIS v3

* Include CBC package data for Windows

* Add CBC open-source dispatch solver as default (faster than GLPK)
* Add Xpress and Gurobi AMPL commercial dispatch solvers
* Add clustering of simulation days with some tuning (use with caution)
* Remove taxes from grid dispatch model
* Add weighting of hybrid financials by production or cost ratio
* Update to csp dispatch cost parameters for absolute grid prices
* Add csv file output option to driver
* Add PV charging only and grid charging options for dispatch
* Add key parameter scaling when scaling CSP tower capacities
* Add capacity credit payment calculations based on dispatch
* Reformulate grid dispatch model
* Add desired schedule option to dispatch model to follow schedule at least cost
* Improve class documentation
* Fix general bugs and clean-up code

* Updated requirements
* Added presolve to GLPK LP solver

* Battery dispatch and simulation with example in examples/simulate_hybrid_wbattery_dispatch.py
* Separate layout-related functions from optimization code into Layout classes
* Refactor Optimizer classes to use HybridSimulation with examples in examples/optimization/hybrid_npv.py and examples/optimization/hybrid_sizing_problem.py
* Add Floris as custom module for Wind simulations with examples in examples/add_custom_module
* Move plotting functions into dedicated files
* Rename "Solar" classes to "PV"
* Add ElectricityPrices class with some example input files in resource_files/grid
* Add storage costs to CostCalculator
* Add concentrating solar power (CSP) tower and trough configurations through pySSC wrapper
* Add dispatch optimization model for CSP models
* Add design evaluation methods to iterate on design variables through space sampling, single objective derivative-free optimization, and multi-objective optimization

* Update PySAM requirements
* Fix flicker check for weight_option