Adaptive dynamic programming method for multi-goal joint optimized dispatching
A technology of dynamic programming and joint optimization, applied in wind power generation, AC network circuits, photovoltaic power generation, etc., can solve the problems of dimensional disaster and the inability of computers to bear the amount of calculation.
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Embodiment 1
[0118] An adaptive dynamic programming method for multi-objective joint optimal scheduling, which stores the waste heat in the exhaust gas of the gas turbine, uses the mechanism analysis method to establish the grid dispatching model of the composite system, and establishes the multi-objective function according to the minimum power generation cost and the minimum environmental cost ; Finally, the principle and goal of adaptive dynamic programming are given, and the process of obtaining the best optimal scheduling scheme by the heuristic adaptive dynamic programming algorithm is given.
[0119] When wind power and solar thermal power plants form a joint system to generate electricity, the solar thermal unit can reduce the uncertainty of wind power, but due to the large randomness and volatility of wind and solar output power, and its energy storage system is not enough to make the entire system To supply power to the grid smoothly, a stable and highly controllable backup power ...
Embodiment 2
[0121] A multi-objective joint optimal scheduling method of wind-solar-storage-gas based on adaptive dynamic programming, the specific implementation process is as follows:
[0122] 1. Establishment of optimal scheduling model
[0123] 1.1. Objective function
[0124] 1.1.1. Goal 1: Minimize the cost of power generation
[0125] In order to establish an economic dispatch model that achieves the goal of prioritizing the consumption of new energy, the energy penalty item of new energy is introduced into the objective function here, that is, the product of the energy penalty coefficient and the unconsumed amount of new energy is defined as the energy penalty item, and the value of the former The size directly reflects the degree of sacrificing the economy of gas-fired units to promote the consumption of new energy. The objective function is as follows:
[0126]
[0127] In the formula, t in the first term represents any period of the scheduling period; T is the total period...
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