Virtual Power Plant Demand Response for Wind Curtailment Reduction
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Solution Overview
Problem
The integration of wind power into power grids is hindered by its randomness and volatility, leading to lower energy utilization rates and increased abandoned wind, necessitating a method that considers comprehensive demand responses of electrical and heat loads to improve wind power consumption.
Innovation Solution
A method for a virtual power plant that involves establishing wind turbine, heat load, and electrical boiler models to predict and manage wind power consumption, utilizing storage batteries to optimize energy distribution and reduce abandoned wind, by calculating pre- and post-demand-response scenarios and adjusting load demands to maximize wind power utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If wind power is integrated into the power grid, then clean energy development is promoted, but the randomness and volatility of wind power impact the power grid stability and reduce energy utilization rate
Solution Approach 1:
The system performs preliminary actions by predicting wind power output in advance and pre-adjusting heat load demands and electrical boiler outputs before wind power fluctuations occur. This allows the virtual power plant to proactively optimize energy distribution and reduce abandoned wind without compromising grid stability
Solution Approach 2:
The virtual power plant acts as an intermediary between wind power generation and the power grid, coordinating multiple controllable loads (heat loads, electrical boilers, storage batteries) to buffer the randomness and volatility of wind power before it impacts the grid
2Productivity
If controllable loads participate in demand responses, then the economy of the system is improved and energy consumption capacity is enhanced, but the system complexity increases
Solution Approach 1:
The system merges multiple controllable loads (heat loads, electrical boilers, storage batteries) into a unified virtual power plant framework, coordinating them through integrated optimization models that simultaneously consider power and heat demands, thereby enhancing overall energy consumption capacity while managing complexity through consolidation
3Loss of energy
If pre-demand-response and post-demand-response scenarios are calculated to optimize wind power consumption, then abandoned wind is reduced, but the calculation complexity and time consumption increase
Solution Approach 1:
The system calculates pre-demand-response scenarios in advance to predict optimal energy distribution strategies before wind power fluctuations occur, enabling proactive reduction of abandoned wind without requiring complex real-time calculations during operation
Data Source
AI summary
The present invention discloses a wind power consumption method of a virtual power plant with consideration of comprehensive demand responses of electrical loads and heat loads, which comprises: establishing a wind turbine output model, so as to obtain a wind power prediction curve; establishing heat load demand models before/after demand responses and heat supply equipment output models before/after the demand responses, so as to obtain the abandoned wind quantities per moment before/after the demand responses and the total abandoned wind quantities before/after the demand responses; judging that whether consumption is promoted or not according to the total abandoned wind quantities before/after the demand responses; and establishing a storage battery capacity model and judging the charging/discharging state and the charging/discharging capacity of a storage battery.