Bi-level Optimization Of Strategic Energy Management For Industrial Park Microgrid Participating In Distribution Market

With the continuous development and reform of the electricity market,microgrids will become an emerging market entity participating in electricity market transactions.The industrial park microgrid is a typical form of microgrid,with the characteristic of concentrated user electricity load,making it easier for flexible management and scheduling.Therefore,based on the unique energy demand and production activities of industrial park microgrids,this article can effectively transfer multiple load demands through the management of industrial park operator(IPO),fully tap into the adjustable potential of industrial users,reduce operating costs and alleviate peak shaving pressure on the power system.Based on the above background analysis,the main research work of this article is as follows:1)This article constructs an energy consumption model for industrial parks that takes into account production task scheduling.Firstly,the general framework of the production process and the production process flow of a battery manufacturing plant(BMP)were elaborated,and a production task scheduling model was established;Secondly,based on the building thermal inertia model,a cooling/heating load model for the factory and office buildings was established,providing regulatory flexibility for energy management in the park;Finally,the multi energy structure of the BMP industrial park microgrid was introduced,and a multi energy complementary balance constraint was established to achieve a balance between internal electrical energy,thermal energy,compressed air energy,and cold/thermal energy to maintain room temperature in the park.2)From the perspective of coordinated operation between microgrids and distribution networks,a coordinated and optimized operation model for industrial park microgrid and distribution system has been constructed.Distribution system operator(DSO)aim to minimize their operating costs and ensure energy balance during system operation by compensating or absorbing electricity shortages or surplus output in industrial park production;At the same time,by maximizing the adjustment of internal controllable loads,the active investment of equipment in system operation is achieved;In addition,a second order cone relaxation method is used to complete the transformation of convex optimization problems to achieve the optimal operating state of the system;Finally,numerical results indicate that this model can effectively reduce the total operating costs of industrial park microgrid and distribution system.3)A new strategic energy management model is proposed to optimize the energy management of industrial park microgrid participating in the distribution trading market.This model uses a bilevel optimization method.The upper layer model aims to minimize the operating costs of the park,combine with the clearing and settlement electricity prices in the distribution trading market,fully utilize the schedulability of industrial production processes and the energy storage characteristics of buildings in the park,and optimize energy consumption strategies;The lower level model adopts the distribution transaction market clearing model,which is used to determine the distribution local marginal price(DLMP)of the distribution network node,and provide electricity price information for the upper level energy management,so as to achieve the goals of electricity saving and carbon reduction,improving power efficiency,reducing energy consumption,and improving efficiency.In order to solve this bi-level problem,we transformed the constructed bi-level model into a mathematical programming with equilibrium constraints(MPEC)problem,and transformed it into a mixed integer second order cone programming(MISOCP)model to solve the constructed bilevel model in order to better achieve the microgrid energy management.In order to verify the effectiveness of this model and method,we conducted research using IEEE33 node power distribution system and BMP industrial park microgrid as examples.The results show that our proposed microgrid energy management strategy can not only significantly reduce the energy cost of industrial users,but also effectively alleviate the pressure of peak load regulation of the power grid.