Research On The Coordinate Optimal Operation And Risk Of Power System Considering Energy Service Company Response

In recent years,under the double pressure of serious environmental pollution and traditional energy crisis,the energy structure will transform from fossil fuel to the diversity of clean,green,environmental protection.The adjustment of energy structure,the development of distributed energy,and the depth of a new round of electric power system reform process,will greatly rich the choose of energy customers.Diversified needs of customer and social consensus of green low carbon have promoted the development of integrated energy services.On the other hand,the development of emerging technologies such as Energy Internet,big data,and cloud computing provides the technical support for integrated energy services.As an emerging format,integrated energy services break the trade and technical barriers between different varieties of energy.They promote electric power system to interact with other energy systems,and accelerate the process of integration and synergy of complementary energy.As a carrier of integrated energy services,integrated energy service companies still have many problems in their own optimized operation,interaction with power systems and impact on the operation of power systems,such as the integrated energy service companies' trading strategy,coordinated scheduling with power system,information protection between multiple energy service companies,risk issues caused by uncertainty,etc.This paper aims to provide reasonable solutions to the above-mentioned problems and provide a theoretical basis for promoting the efficient development of integrated energy companies and power system.The main contents and research results of the paper are as follows:In view of the energy service companies' trading strategy,this paper considers the energy service companies participating in the trading of electric and thermal energy in the day-ahead market and contract market,and establishes a trading strategy based on the dual-interval optimization theory according to the uncertainty variables in the transaction process.The strategy helps service companies to assess their profits in dayahead and contract markets as a whole,to stabilize the risk factors caused by price fluctuations in the market,and to improve the impact of unexpected events such as extreme weather and accidents on the boundaries of the profit interval,and provides a theoretical basis for energy service companies to make more effective trading strategies.In view of the interaction between energy service companies and power system,the interaction mechanism between energy service companies and power system is analyzed in the paper.Then the response models and response costs of price and incentive energy service companies are established respectively.Based on the above analysis,this paper constructs a two-level coordinated scheduling model with multiobjective optimization to alleviate the shortage of distributed energy,to achieve the effect of peak filling and valley filling,to reduce carbon emission costs,and to promote the system to absorb renewable energy.In view of the mutual interaction of multiple energy service companies,the paper establishes an information value assessment method based on the Marsack and Atorebe information value theory.Considering the information privacy protection,a multienergy service companies coordinated scheduling model is constructed,and the Lagrangian relaxation method and Energy blockchain technology are used to solve the model,which can reduce carbon emission and environmental pollution,and also improve the privacy and security of energy service companies' information data.In view of the risk caused by uncertainty,this paper first studies the risk mechanism in energy chain considering the energy service companies' risk preference.Based on the traditional risk theory,the energy service companies' optimization scheduling model with risk preference is established.Meanwhile,the paper establishes an risk assessment method of energy chain based on the set pair analysis theory and interval number,which not only overcomes the shortcomings of traditional assessment methods that are difficult to characterize the uncertainty of risk preferences,but also quantitatively describes the similarities and differences between various risks,and it is great significant to the risk assessment of energy chains.