Modeling And Optimization Of Thermal Power And Wind Power Generation Scheduling Under Distributed Generation

Energy is essential for the development of national ecomomy and most countries pay more and more attention to the sustainability of energy and the protection of environment. Therefore, how to use renewable energy to replace fossil energy becomes an important issue. The distributed power generation technology has been widespread concerned because that it is environmentally friendly and flexible, as well as that it can properly configure various renewable resources. At the same time, the distributed power generation technology can timely tracking the changes of loads, effectively lower the accident risk of the power gird. The wind resources get more attention in the distributed power generation technology because of its high efficiency and clean feature, and therefore have great development potential.This paper investigates the integration of traditional thermal power generator and wind power generator, and solve the unit commitment problem of the thermal power unit and the wind power unit.(1) Based on the characteristics of the thermal generator and the wind power generator, this paper considers the constraints of the thermal generator, the constraints of balance and the climbing constraints of wind power generator. A mixed integer mathematical programming model is formulated, with the objective of minimizing the production costs. Then solve the model using CPLEX and the experimental results prove that the model is correct and effective.(2) Since CPLEX can't solve the large-scale instances within the limit time, this paper proposes a Lagrangian relaxation algorithm. First divide the problem into wind and thermal power single generator problems through the system demand and reserve constraints. Use the dynamic arithmetic to solve the thermal power single generator problem. Use the linear programming software to solve the wind power single generator problem. The result shows that the proposed Lagrangian relaxation algorithm is effective.(3) To extend the research, add the storage battery units into the model to coordinate with the wind power generator in order to reduce the Intermittent and volatility of the wind power. Considering the thermal and wind power generation constraints, the storage battery constraints, this paper formulates a mixed integer programming model aiming at minimizing the production cost. Use the Lagrangian relaxation to solve the model and relax the demand and reserve constraint to get the wind power generator thermal generator and storage battery unit single unit problem. Solve the thermal and storage single unit problem with the dynamic programming arithmetic. Use the CPLEX to solve the wind power generator. The cooperation of the results of CPLEX and the Lagrangian relaxation proves the effectiveness of Lagrangian relaxation.