Research On Community Comprehensive Energy Trading Strategy And Dispatch Method In The Electricity Market

With the rapid development of economic society and the continuous improvement of urbanization rate,the residential and commercial community has become a kind of basic energy consumption unit in the city,covering diversified energy demand such as electricity,gas,cooling,heating and hot water loads,and has the characteristics of high energy density per unit,the geographical position concentration,regular demand periods but strong volatility.At the same time,considering the efficient,economical and low-carbon energy demand of the city,the community integrated energy system(CIES)with combined heat and power system and renewable energy as hubs has been exploited widely at the distribution level,which can enhance the economy level of the community greatly and reduce regional carbon emissions effectively.Namely,the CIES can be regarded as the key point and foothold to realize the objective of carbon neutral at the user side.Another,it should be noted that CIES is a sophisticated integrated energy system influenced by multiple factors,such as multi-stakeholder association,multi-link process coupling,multi-energy operation coordination and multi-objective constraints.Therefore,it is imperative to build a multi-dimensional trading and dispatch method for CIES suitable for the market,which is benefit for the scale and sustainable development of CIES in future.To this end,respecting the mature electricity market,this paper takes CIES as the research object,the trusted trading strategies between the community and some entities and the optimal dispatch methods considering flexible resources are proposed from the perspective of trading objects in three aspects: community-to-users,community-tocommunity,and community-to-grid energy trading,which can help promote the establishment of the market mechanism for community-level resources participating in the ancillary services market,and explore the survival and development strategies of CIES in the electricity market.This dissertation is carried out in the following five aspects:(1)The trading and dispatch architecture of CIES in the electricity market is proposed from the global point of view.Based on the development overview of the electricity market in China,the definition and components of community integrated energy system are summarized and analyzed.Three typical development forms and main characteristics of CIES are proposed according to the energy supply pattern and self-sufficiency level.Later on,the system architecture and model,the trading structure and objectives,the dispatch framework and modes of CIES are proposed in physics,trading and dispatch aspects,respectively.Finally,a comprehensive operational system of CIES is developed to provide general and structural support which would be further researched.(2)The dynamic retail pricing optimized model with integrated demand response is proposed considering the fluctuation in the day-ahead market,which can make an economical trade-off between the community and users,and stimulate the vitality of the electricity retail market effectively.The dynamic pricing(DP)model contains two parts: the fixed price representing the existing price,and the floating price,which is a real-time reflection of the fluctuating day-ahead price.Then,a two-step settlement mode is adopted for this DP to ensure that there is no expenditure supplement of residents compared with the existing price.The response behavior of residents is established by the demand price elasticity matrix on the whole.Later on,an integrated demand response strategy for profit maximization is developed to determine the optimal DP,and the incentive characteristics of DP are analyzed deeply.(3)The collaborative heat-electricity transaction model for community groups in terms of low-carbon priority is proposed with the goal of promoting resource complementarity and reducing the operational costs of communities.Meanwhile,it verifies that the reasonable low-carbon priority coefficient can lead the interest to the low-carbon community.A unified CIES model is constructed from physical,economic and low-carbon attributes.Aiming at matching the resources margin,a regional heat-electricity price model based on supply and demand ratio is established,and the energy distribution principle and game strategy of community groups considering both fairness and low carbon are given.Then,the collaborative heat-electricity transaction model for community groups is proposed to achieve economic optimality,and the regional heat-electricity price,community-level operation strategy and purchase and sale schemes of electricity are got.(4)Focusing on the peak shaving service,a day-ahead peak shaving model of CIES is proposed with load response and recovery stages,establishing a reasonable multi-load recovery mechanism and improving the benefit of community peak regulation.The load regulation model is represented by the load response model based on linear response rate and the load recovery model based on linear attenuation.Later on,a day-ahead peak shaving optimal model of CIMS is proposed with the goal of maximizing profit,and a mixed-integer programming algorithm is applied to solve the operation strategies of CIMS for peak shaving.The sensitivity analysis of load recovery parameters is also carried out.(5)Focusing on the reserve service,a decision model of community participating in reserve service considering resource uncertainty is established,taking energy storage and electric vehicles as flexible resources.Scenario analysis technology and Latin hypercube sampling method are applied to quantify the uncertainty models of flexible resources.Meanwhile,considering constraints of response willingness,operational features,and so on,a novel contract mechanism for flexible resources in reserve service is designed to promote the degree of involvement.Later on,the decision model of CIES participating in the reserve service is built with the goal of maximizing the reserve benefit.At last,the influence of factors such as reserve call rate and energy storage configuration capacity on the community reserve capacity and revenue is analyzed in depth.