The study of optimization model and cooperative control method for heat storage electric boiler to consume the abandoned wind and light

Wind power and light power have anti-peaking characteristics. The amount of discarded light and wind is large, and the cost of users is high. In order to deal with the above problems, this paper establishes the minimum cost optimization model of the user by optimizing the charging power, heat release power of the heat storage electric boiler, the amount of abandoned wind, abandoned light and grid power. The paper takes into account the negotiated price of the abandoned wind and light, as well as Grid Time-of-use price (TOU) to achieve the minimum cost of the user. Then the optimal model of the maximum energy consumption is set up, and by optimizing the charging power of the heat storage electric boiler and the use of wind and light power, the text achieves the goal to maximize elimination of abandoned wind and light. Finally, the optimization problem is transformed into a single optimization goal by fuzzy satisfaction, and an improved particle swarm optimization algorithm is used to obtain the optimal solution. This paper ensures the lowest cost of the user to be achieved, at the same time, maximizes the consumption of abandoned wind and light, which is verified through simulation.