The Market Clearing Engine is the core of Spectrum PowerCC Energy Market Management and is based on the Security Constrained Unit Commitment (SCUC) software. For the first time ever, the Market Clearing Engine does not impose artificial limitations on the design of centralized electric energy markets. It is now possible to include all relevant production, load and network constraints when clearing the central spot market simultaneously for energy and ancillary services. This solution approach, known as co-optimization of energy and ancillary services, produces the lowest overall clearing prices while meeting all physical constraints and grid security objectives.
Superior Technology; Optimal Solution
The Siemens technology utilizes advanced Mixed Integer Programming (MIP) techniques combined with a Separable Quadratic Interior Point Method to obtain the optimal SCUC solution. The MIP based SCUC represents the next step when compared to the traditional Lagrange Relaxation based SCUC.
The Siemens MIP based SCUC implementation reaches the optimal solution without manual interaction or arbitrary relaxation of constraints.
It produces the optimal solution consistently and independent of the operator.
Improving Reliability, Achieving the Lowest Prices
These breakthrough technologies enable market designs based on a full AC network model, allowing Market Operators to manage congestion well before it gets to real-time. This may be inherently more complex, but the Siemens technology is capable of managing the complexity and actually makes day-to-day interactions between Market Operators and Participants simpler and more transparent. Handling a large number of transmission constraints is one of the most important aspects in achieving feasible schedules and avoiding the high cost of congestion management in real-time, when available resources may be scarce and expensive.
One Engine for Multiple Markets – Achieving Flexibility
The Market Clearing Engine is designed for easy activation/de-activation of variables, various objective functions and constraints, enabling easy switching between the different runs such as a full Security Constrained Unit Commitment, a Reliability Commitment, a Security Constrained Dynamic Dispatch or a Security Constrained Economic Dispatch. This built-in flexibility enables the use of the same market-clearing engine in multiple market structures such as a Day-Ahead Market or a Real-Time Market.
The speed necessary to facilitate the flexibility of solving the different optimization problems using the same engine is achieved by applying Siemens' domain knowledge, the superior MIP technology and innovative computing platforms.
Comparison of Siemens' Market Clearing Engine Capability with Traditional Lagrange Based Methods
At the core of the Market Clearing for centralized markets is the Security Constrained Unit Commitment and Economic Dispatch, a complex optimization problem.
The optimization algorithm chosen must be able to produce a solution within minutes to support all coordination efforts necessary between market operators and participants. A traditional way to meet the time requirements has been to relax the optimization problem and not include all real-life parameters and constraints, risking real-time congestion and unpredictable market clearing prices.
Function | Siemens MIP | Traditional Lagrange |
Known distance from optimal solution | Yes | No |
Modeling of large number of coupling constraints | Yes | No |
Ramp rate as function of unit loading | Yes | No |
Modeling of forbidden regions with crossing rules | Yes | No |
Heuristics or manual intervention required to achieve a feasible solution | No | Yes |
Optimal discrete relaxation of infeasible constraints | Yes | No |
Flexibility for adding new constraints and models | Yes | No |