NCP
Short-Term Operation Schedule
Operational short-term optimization model for economic dispatch and revenue maximization strategies in energy markets.
Check out the release notes for NCP 5.28
About NCP
NCP is a short-term operational optimization model that determines the lowest-cost dispatch of energy systems in hourly or sub-hourly intervals (30, 15, or 5 minutes). The planning horizon ranges from a few hours to two months ahead. Common applications include day-ahead, week-ahead, and re-dispatch planning. NCP can also be used to define dispatch strategies aimed at maximizing revenue for energy companies in competitive markets.
Modeling capabilities
Integration with medium and long-term solutions
Target storage, target generation, terminal function.
Typical horizon
Common applications include day-ahead, week-ahead, and re-dispatch planning.
Co-optimization of dispatch, reserve, and inertia
Including nested reserve modeling.
Hydropower plants
Upstream level and flow ramps, inertia provision, unit dispatch, net head, yield curve, etc.
Thermal power plants
Non-linear thermal yield curve, startup costs, cogeneration (CHP) modeling, forbidden zones, etc.
Storage devices
Full cycle efficiency, charge and discharge ramp constraints, maximum regulation time.
Energy and reserve offers
For renewable sources, storage devices, thermal, and hydropower plants.
Demand-side management
Price response, signals by segment, by system, by area, or by bus.
Multi-objective frequency control ancillary services
Largest generator contingency, system inertia, interconnection flows, absolute limits.
And much more…
Precision in short-term planning
Efficient resource management
Short-term planning must reflect real system conditions.
Highest level of detail
Represents a wide diversity of elements and constraints.
More assertive dispatch
Generates intuitive results and facilitates qualitative analysis.
Experience NCP now
Connecting short-term decisions with long-term goals
NCP can be integrated with medium and long-term models, such as SDDP, by reading a terminal function (future cost or benefit function) for a specific week or month. It considers all elements modeled in SDDP, plus additional information from operations in sub-hourly periods.
The short-term energy planning tool is formulated by NCP as a large-scale mixed-integer linear programming model. The problem is solved with state-of-the-art optimization techniques for Linear Programming and Mixed-Integer Linear Programming (including strategies like Branch & Bound, branch & cut type cut generation, and heuristics).
Complementary tools
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