Abstract
Due to the existence of nonlinear constraints, it is difficult to solve the power flow directly. This paper proposes a microgrid optimal scheduling strategy using second-order cone relaxation method to realize linear transformation, so as to minimize the total cost of the microgrid. Firstly, a microgrid system model of electricity-gas integrated energy is established, and the nonlinear constraints of branch power flow are transformed by the second-order cone relaxation method. Then, based on the microgrid model, the application conditions of the second-order cone relaxation transformation method are studied, and the optimal scheduling strategy with the total cost of microgrid as the objective function is proposed. In addition, in the case that the microgrid system does not meet the application conditions of second-order cone programming, the optimization problem is solved by increasing the line loss. Finally, an example is given to verify the effectiveness of the proposed method.
Highlights
In recent years, with the rapid development of the global economy, the energy demand has become larger, which leads to the rapid depletion of fossil fuels and the increasing global environmental pollution [1, 2]
Related researches include the establishment of combined cooling heating and power (CCHP) system model based on electricity cooling heating structure [5]
Energy storage system plays an important role in energy storage optimization because of its advantages of flexible regulation, so the research on microgrid including energy storage system is very extensive
Summary
With the rapid development of the global economy, the energy demand has become larger, which leads to the rapid depletion of fossil fuels and the increasing global environmental pollution [1, 2]. The linearization method has been widely used in solving nonlinear optimal scheduling problems due to its advantages of simplicity [21,22,23]. E second-order cone relaxation method is mostly applied to the linear transformation of power flow constraints in distribution networks [24,25,26]. In order to solve the problem of integrated energy system, an improved second-order cone relaxation method was proposed in reference [27]. A second-order cone programming (SOCP) method is utilized to solve the optimization problem, which is a mixedinteger nonconvex and nonlinear programming issue. The nonlinear power flow constraints in microgrid model are linearly transformed by using the second-order cone relaxation method, and the second-order cone program (SOCP) is obtained. (2) Energy exchange cost and benefit of microgrid and natural gas network
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
