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The Dynamic Economic Dispatch for Electricity Grids

The dynamic dispatch analytical algorithm


Dynamic economic dispatch (DED) is an optimization problem that determines the optimal power generation schedule for a power system over a finite time horizon. The goal of DED is to minimize the total cost of generation while meeting the load demand and satisfying all operational constraints.

DED is a more complex problem than static economic dispatch (SED), which only considers the cost of generation at a single point in time. DED must take into account the dynamic behavior of the power system, such as the startup and shutdown costs of generators, the time it takes to ramp up or down generator output, and the effects of load variations.

There are a number of different approaches to solving the DED problem. Some common methods include:

  • Dynamic programming: This is a recursive method that solves the DED problem by breaking it down into a series of smaller subproblems.

  • Mixed-integer linear programming: This is a mathematical programming technique that can be used to solve a wide variety of optimization problems, including DED.

  • Heuristics: These are problem-specific algorithms that can be used to find good, but not necessarily optimal, solutions to the DED problem.

DED is an important tool for power system operators to ensure that the power system is operated in a cost-effective and reliable manner. As the power system becomes more complex, with the increasing penetration of renewable energy sources and the need to integrate distributed energy resources, the importance of DED will only grow.

Here are some of the benefits of using dynamic economic dispatch:

  • It can help to reduce the cost of generation.

  • It can improve the reliability of the power system.

  • It can help to meet environmental regulations.

  • It can facilitate the integration of renewable energy sources.

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