Grid day-ahead power generation plan optimization method for enhancing new energy acceptance capability based on a controllable load
A technology of power generation planning and acceptance capacity, which is applied in the electric power field and can solve problems such as insufficient grid capacity, low calculation efficiency, and poor pertinence
Inactive Publication Date: 2019-06-25
STATE GRID LIAONING ELECTRIC POWER RES INST +1
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Problems solved by technology
Abandoning wind and light is a long-standing problem in the field of new energy power generation in my country, and the insufficient capacity of the power grid is an important reason
[0007] At present, general-purpose optimization software for solving various optimization problems is available on the market, but the common problems of these general-purpose software are that they are not well targeted, have low computational efficiency, and need to manually convert the problem into software before using it. Forms that can be processed; for specific environments and specific problems—such as the optimization of power generation plans ahead of time—propose special solutions, which are highly targeted, have high computational efficiency and good results, but require more analysis and programming work
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[0071] Organize the annual wind power generation data of Liaoning Power Grid in 2015, 2016, and 2017, identify and eliminate bad data; conduct statistical analysis on the abandoned wind rate, abandoned wind power, load, and meteorological information at each time period, and establish an abandoned wind power prediction model. Forecast the abandoned wind power in each period of optimization of the day-ahead power generation plan. Prediction can use regression analysis, artificial neural network and other methods.
[0072] Define the reliability rate of controllable load participating in day-ahead balance
[0073]
[0074] In the formula, is the generating capacity of wind power in the system, is time period Predicted value of wind power generation power. CR% is a positive number, the larger the value, the time period The stronger the demand for controllable loads to participate in the consumption of wind power. The minimum credible rate CRmin % of the controllable ...
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The invention discloses a grid day-ahead power generation plan optimization method for enhancing a new energy acceptance capability based on a controllable load. The method comprises the following steps of firstly, analyzing different types of controllable loads to obtain a controllable load safety operation constraint; secondly, carrying on a research on a controllable load pricing issue, and creating a controllable load quotation curve, wherein the pricing takes account of the sunk cost and the marginal cost of the controllable load and the time cost of the fund; establishing the deterministic model of the periodic fluctuation and the probability model of stochastic fluctuation of the new energy power generation output, so as to establish a power system day-ahead power generation plan optimization module in consideration of new energy power generation consumption and including the controllable load, and creating a controllable load optimal applied strategy. The method stabilizes thefluctuation amplitude of the power system load curve by rationally adjusting the load curve of the controllable load, improves the peak shaving capability of the system, and further improves the new energy power generation acceptance capability of the power system.
Description
technical field [0001] The present invention relates to the field of electric power, in particular to a method and system for optimizing a power grid's day-ahead power generation plan based on controllable loads to improve new energy acceptance capacity. Background technique [0002] The scale of new energy power generation, mainly wind power and photovoltaic power generation, continues to expand, and its penetration rate in the power grid continues to increase. Wind power and photovoltaics do not consume fossil fuels in the process of power generation, are green and environmentally friendly, and are beneficial to the sustainable development of human society. However, their power generation is closely related to natural factors that are difficult to predict accurately, such as wind speed and sunshine intensity. The randomness of fluctuations within a certain range. These fluctuations are new problems faced by the peak regulation and frequency regulation of the power system...
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IPC IPC(8): H02J3/38H02J3/46
Inventor 张钊蔡文彬赵国辉刘淼刘刚郭春雨赵适宜李正文李铁李源初壮
Owner STATE GRID LIAONING ELECTRIC POWER RES INST