2results about How to "Promote Diversified Development" patented technology

The invention discloses a wind energy heating unit control method and system utilizing waste heat of circulating water of a thermal power plant. A control method for a wind energy heating unit utilizing waste heat of circulating water of a thermal power plant is characterized in that a fan is used for driving a heat pump to heat the temperature of hot water on a user side after a circulating water system of the thermal power plant enters a heat exchanger, and the hot water is used by a heat user. The flow of cooling water entering the evaporator is adjusted, and it is guaranteed that the flow meets the heating capacity requirement of the air heating unit; heat storage or heat release of a heat storage tank is controlled, specifically, heat storage or heat release is adjusted according to the return water temperature of a heat user on the basis of heat balance within a short time, and the change of the return water temperature of the heat user is stabilized; and controlling the output of the wind-heat unit, wherein the wind-heat unit adjusts the output of the wind-heat unit according to the return water temperature of the heat user on the basis of heat balance within a long time. The system can replace or reduce steam extraction of a thermal power generating unit, meanwhile, wind energy is used for heat supply, and clean energy heat supply is achieved.

A method and equipment for virtual power plants participating in electricity and reserve market trading decisions are disclosed. The method includes: constructing an uncertainty model and generating multiple uncertainty scenarios; constructing day-ahead and real-time market decision optimization models for participating in the electricity and reserve markets based on the internal resources of the virtual power plant; constructing a distributed resource peer-to-peer trading model to provide peer-to-peer trading constraints for decision-making; introducing peer-to-peer trading constraints into the day-ahead market decision optimization model and solving for the day-ahead bidding strategy; randomly selecting an uncertainty scenario as the day-ahead market and calculating a simulated day-ahead bidding strategy for that scenario; based on the simulated day-ahead bidding strategy, introducing peer-to-peer trading constraints into the real-time market decision optimization model and solving for the real-time bidding strategy; and making trading decisions accordingly. This method solves the problem that virtual power plants cannot effectively aggregate surplus resources to participate in the market, thereby improving the resilience and reliability of the new power system.