Distributed power supply excitation mechanism analysis method for virtual power plant
A technology of distributed power supply and virtual power plant, applied in the direction of resources, data processing applications, buying and selling/lease transactions, etc., can solve the problems of high access cost, large quantity and uneven distribution of single machine
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Embodiment 1
[0057] refer to Figure 1~5 , which is an embodiment of the present invention, provides a distributed power incentive mechanism analysis method for virtual power plants, including:
[0058] S1: Based on the system dynamics theory, draw the causal loop diagram of the virtual power plant day-ahead market, and establish a virtual power plant system dynamics day-ahead market transaction model that aggregates distributed power;
[0059] It should be noted that the virtual power plant system dynamics day-ahead market transaction model for aggregated distributed power includes a virtual power plant distributed power module, a virtual power plant day-ahead market module, and a virtual power plant profit-risk module.
[0060] S2: According to the day-ahead market trading model of virtual power plant system dynamics that aggregate distributed power, analyze the impact of weather and real-time electricity prices on virtual power plant days;
[0061] It should be noted that the distribut...
Embodiment 2
[0101] refer to Figure 6-9 It is another embodiment of the present invention. In order to verify and explain the technical effect adopted in this method, this embodiment is based on the analysis of the solution of the model and the simulation experiment, and verifies the real effect of the method by means of scientific demonstration.
[0102] Traditional technical solutions pay more attention to the representation of results when performing simulations, and it is often difficult to reflect the trend relationship between various units within the simulation. For example, a system input needs to input a parameter and obtain a result. We input each parameter x, y, z, and the simulation results are A, B, C. We can directly or indirectly analyze the influence of the parameters on the final result, and this system Internally, assuming complex calculation relationships involving multiple modules, traditional technical solutions often encapsulate and hide them. When we need the influe...
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