Study On Price Mechanism Of Multi Energy System Considering Interaction Between Source And Load

With the advancement of the energy revolution,the energy internet based on multi-energy systems is an important solution to energy and environmental issues.Energy mutuality is not only reflected in energy supply,but in user-side source.Load interaction is an effective way to increase energy efficiency and solve supply problems.Under the multi-energy system,the traditional concept of demand response is expanded,and a comprehensive multi-energy complementary background is introduced in demand response.Based on the difference of demand characteristics and energy use characteristics,stimulate or induce the user to change the demand of one or more energy sources through the incentives,thus affecting the supply and demand of other energy sources,and achieving peak-shaving and valley-filling optimization.The paper revolves around the energy retail price mechanism that guides users to change energy use behaviors.First,taking the energy hub as the research point,it analyzes the operating characteristics of the typical energy coupling equipment,and coordinates and optimizes the operation modeling,laying the foundation for subsequent price mechanism research.Then,focusing on electrical loads and cooling loads,the flexible energy load response characteristics with potential for response are analyzed,and an optimized decision model for load response is constructed in the study of response strategies;Finally,based on the model of energy equipment and energy load,the formulation of the price mechanism is builded.The main tasks of this paper include:(1)Take the power load and heat load in the multi-energy system hub as the load research object,classify the flexible load according to the response characteristics,and analyze in detail the response strategies of various loads under the guidance of the price mechanism,and establish the corresponding optimization model.Through the example simulation,the response results of different types of flexible loads under price guidance are obtained.(2)Under the two background conditions of whether the upper energy market is considered,from the perspective of the energy service provider,the decision-making model of electricity and thermal retail prices is optimized at day-ahead electricity market.When ignoring the energy market,it builds a bi-level optimization model that considers user response decisions and the optimization of hubs.When taking into account the energy market clearing,it considers the interaction between energy networks and node loads,and builds a three-level optimization decision model.This paper analyzes and summarizes the formation rules of retail prices through calculation examples,and discusses the effect of flexible load interactive response on energy service providers and energy systems.(3)By using the Lagrange multiplier method and the Karush Kuhn Tucker condition,the bilayer constructed in this paper is translated into a monolayer equivalent model,which guarantees the global optimal solution of the function.In the example,the error accuracy is limited at 0.01,and the DICOPT solver of GAMS commercial software is used to solve the problem.The example results show the validity of the single layer equivalent model.