Optimization method of optimal unit and time-of-use electricity price in microgrid based on demand-side response
A technology of demand-side response and time-of-use electricity pricing, which is applied in battery circuit devices, power network operating system integration, and AC networks with energy trade/energy transmission authority, etc., and can solve problems such as high load shortage and unsatisfactory operating costs
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2020-01-14
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Abstract
Description
technical field
[0001] The present invention relates to the technical field of micro-grid optimal unit combination and time-of-use electricity price optimization, in particular to an optimization method for micro-grid optimal unit and time-of-use electricity price based on demand side response. Background technique
[0002] As of the end of 2017, with the advancement of my country's electricity market reform and the accompanying launch of incremental distribution networks, microgrids, as an actual operating mode of incremental distribution networks, have received high attention and attention from all walks of life. As a reliable form to solve the local consumption of new energy and improve the consumption rate of new energy, micro-grid's efficient and safe operation is the key content that needs to be concerned about in the construction of micro-grid.
[0003] In the operation process of the microgrid, first of all, for the energy supply side, part of the power supply comes ...
Examples
Embodiment Construction
[0049] The present invention will be further described below in conjunction with specific examples.
[0050] Such as figure 1 As shown, the optimization method of the microgrid optimal unit and time-of-use electricity price based on the demand side response provided by this embodiment builds a method that includes figure 1 A typical microgrid model of participants on both sides of the supply and demand is shown, and its optimization process is determined by figure 2 As shown in the schematic diagram of the logic flow, it includes the following steps:
[0051] 1) Obtain basic data, including distributed renewable energy data such as microgrid load history data, wind speed, light intensity, etc., wherein the microgrid load history data refers to the long-term load data of the microgrid area obtained by the dispatching department , including time stamp, load, etc.; the wind speed, light intensity and other information refer to the wind speed and light intensity of the wind far...