Abstract: The present disclosure pertains to a system that may be configured to operate a power grid, including generation participants, consumers, and a controller that administers a market for the power generation participants and the consumers on the power grid. The operation of the power grid may include: performing power grid coordination calculations based upon, at least in part, constraints that pertain to the flow and/or congestion of power on the grid; and managing the coordination calculations by reducing a number of constraints used in the coordination calculations, the managing including a first step of coarse screening of the constraints, a second step of deterministic fine screening of the constraints, and a third step of statistical fine screening of the constraints. This second step may cause identification of constraints that are redundant and/or dominated by other constraints.

Abstract: A method for operating an electrical power grid system is provided. The electrical power grid system includes an electrical power grid, a plurality of power generation participants providing electrical power to the electrical power grid, and a plurality of consumers drawing electrical power from the electrical power grid, where at least a portion of the power generation participants include fast-ramping power generation resources and at least a portion of the power generation participants include slow-ramping power generation resources. The method involves controlling dispatch of electricity on the electrical power grid including enabling fast-ramping resources.

Abstract: The present disclosure pertains to a system that may be configured to operate a power grid, including generation participants, consumers, and a controller that administers a market for the power generation participants and the consumers on the power grid. The operation of the power grid may include: performing power grid coordination calculations based upon, at least in part, constraints that pertain to the flow and/or congestion of power on the grid; and managing the coordination calculations by reducing a number of constraints used in the coordination calculations, the managing including a first step of coarse screening of the constraints, a second step of deterministic fine screening of the constraints, and a third step of statistical fine screening of the constraints. This second step may cause identification of constraints that are redundant and/or dominated by other constraints.

Abstract: A method may improve commercial optimization solver performance on day ahead security constrained unit commitment through warm start and lazy constraint settings. Data analytics is performed to greatly improve the quality of the initial commitment solution and lazy constraint setting. A distributed optimization framework is provided to take advantage of the diversity from prevalent solvers (GUROBI and CPLEX) under different warm start settings. A systematic distribution profile based benchmarking method is also provided.

Abstract: A method for operating an electrical power grid system is provided. The electrical power grid system includes an electrical power grid, a plurality of power generation participants providing electrical power to the electrical power grid, and a plurality of consumers drawing electrical power from the electrical power grid, where at least a portion of the power generation participants include fast-ramping power generation resources and at least a portion of the power generation participants include slow-ramping power generation resources. The method involves controlling dispatch of electricity on the electrical power grid including enabling fast-ramping resources.

Abstract: A method for determining a market clearing price (“MCP”) in an electricity market, in which an objective function relates the MCP and constraints in terms of a nonlinear programming expression, and the MCP is found by resolving an augmented Lagrangian dual function using a surrogate optimization framework. A system is also provided.

Abstract: A method for determining a market clearing price in an electricity market, subject to a plurality of constraints, comprising the steps of defining an objective function relating the MCP and constraints in terms of a nonlinear programming expression, applying Lagrangian relaxation to the nonlinear programming expression to form a Lagrangian dual function; adding penalty terms to the Lagrangian dual function to form an augmented Lagrangian dual function; resolving the augmented Lagrangian dual function using a surrogate optimization framework comprising repeating, until stopping criteria are satisfied, the steps of forming one or more supply sub-problems and an MCP sub-problem; optimizing the MCP sub-problem while keeping all other variables at their latest available values; optimizing at least one of the one or more supply sub-problems while keeping all other variables at their latest available values; updating multipliers used to relax constraints; determining the MCP in accordance with the resolved augmented