Solution Method of Regulation Boundary for Industrial Park Virtual Power Plant Considering Power Network Constraints

To construct a new power system with renewable energy as its primary component, it is urgent to explore the flexible regulation resources on the load side to participate in grid control and regulation. Industrial parks that contain high energy-consuming loads, such as aluminium electrolyzers and mineral heat furnaces, have good potential for control and regulation. However, due to the constraints of the internal power networks of the parks, accurately solving the regulation boundary is faced with the difficulties of high dimensionality of the variables and non-linearity of the constraints, and the existing methods don’t take into account the computational efficiency and accuracy very well. Hence, the above problem is abstracted as the projection of high-dimensional nonlinear state space in the P-Q coupling plane: the projection solution models of the regulation boundary considering the linearized and nonlinear constraints on the safe operation of the industrial park are established, respectively, and a novel high-dimensional state space projection algorithm is adopted to obtain the accurate projection of the regulation boundary of the industrial park virtual power plant through the two-step solution process of vertexsearching-mapping. The results demonstrate that the regulation boundary solved by the proposed method can be fully characterised by a linear inequality set, which is fully compatible with the existing scheduling system. Combined with the comparison with the superimposed flexible resource regulation capability and the traditional sampling method, the feasibility, and high accuracy and solution efficiency of the method are verified. © 2024 Automation of Electric Power Systems Press. All rights reserved.