Scheduling Model And Simulation Of Multi Energy On Both Supply And Demand Side Considering Renewable Portfolio Standards

The "dual carbon" goal of China’s carbon neutrality plan has made the green transformation of the power system more important.In the process of constructing a low-carbon new power system,China is on the one hand making great efforts to build renewable energy and increase the proportion of renewable energy power generation capacity.On the other hand,it is also improving the electricity market and low-carbon electricity-related policies to promote the efficient use of renewable energy.However,the uncertainty and weak adjust ability of renewable energy sources make the green economic operation of the power system face great challenges.It needs to gradually transform from traditional supply-side economic dispatch to source-load-storage coordination optimization in order to fully tap the flexibility of adjustable resources such as source-load-storage in high-proportion renewable energy grids and support the economic operation of power systems.In addition,the improvement of electricity markets provides strong support for the release of flexible resources such as source-load-storage.However,the implementation of Renewable Portfolio Standards(RPS)and the development of corresponding green certificate markets have made market transactions more complex and brought difficulties to the optimization and adjustment of flexible resources such as source-load-storage.Therefore,facing the current situation where the proportion of renewable energy in new power systems is rapidly increasing under the constraints of RPS,relying on a gradually mature electricity market environment,how to fully tap the adjustable potential of flexible resources such as source-load-storage in power systems to support low-carbon economic operation of power systems requires further research.This article first analyzes the key influencing factors of the power dispatch priority sequence under the RPS environment,and analyzes the impact of the development of the green certificate market under the quota system environment on the revenue of power plant manufacturers,providing basic support for the formulation of subsequent power dispatch target functions and benefit calculations.On this basis,firstly,the power optimization dispatch method on the "source" side under the influence of renewable energy quota system is studied,and a multiobjective optimization model and solution method for power dispatch that comprehensively considers environmental protection and economic objectives are established.Then,research is carried out on the optimization adjustment problem of "load" side flexible resources.The impact of RPS constraints on demand-side resource adjustment is also considered.A differentiated adjustable resource demand response mechanism for demand-side and its optimal adjustment strategy for participating in the electricity market are designed to achieve interaction between demand-side resources and the electricity market.Finally,for the problem of insufficient utilization of distributed storage capacity on the "storage" side,storage aggregation mechanisms for different scenarios and bidding strategies for participating in the electricity market are designed.Through full utilization of storage equipment,the local consumption rate of renewable energy is improved to reduce the purchase cost of green certificates for users in the RPS environment,while responding to price signals from the electricity market to achieve a win-win situation between users and the power system.Through this research,flexible resources in source-load-storage can be fully mobilized to improve carbon emission reduction and economic operation capabilities of power systems and support their green transformation.The main research work of this article is as follows:(1)In response to the insufficient analysis of the interests distribution and decision-making behavior of different types of power generation companies under the RPS environment,an analysis of the factors influencing power generation scheduling and the benefits of companies in a market environment is conducted.A performance evaluation index system for power generation units considering the impact of RPS is constructed.Through surveys and structural equation modeling,key factors influencing the priority sequence of power generation scheduling under the RPS are identified and an in-depth analysis of the influencing logic is conducted.Subsequently,a system dynamics approach is used to analyze the impact of the RPS on the profitability of power generation companies in the green certificate market,enabling the formulation of multi-objective optimization functions for subsequent power generation scheduling and providing a foundation for calculating the benefits of power generation companies.(2)In response to the insufficient consideration of the impact of the RPS in the generation-side power scheduling research,an analysis of the factors influencing power generation scheduling and the benefits of companies,considering the impact of RPS in a market environment,is conducted.A multiobjective coordinated scheduling model for power generation companies is proposed,taking into account both economic and carbon emission considerations.Since nonlinear models are difficult to solve,the nonlinear parts of the model are linearized using a piecewise linearization approach,and a priority-based method is introduced to achieve the coordinated optimization of economic and carbon emission objectives.The effectiveness of the proposed scheduling method is verified through simulation experiments.Additionally,the implementation of RPS is analyzed for its impact on various power generation units,and the sensitivity of the benefits of these units to external environmental factors such as green certificate prices is studied.This approach achieves comprehensive power generation optimization considering multiple objectives,including economic and environmental aspects,in a market environment.(3)Considering the significant differences in flexibility resources on the demand side("load" side),a study of an optimized scheduling model for load side with constraints of the RPS in a market environment is conducted.A demand response incentive mechanism based on incremental contribution,tailored to differentiated loads,is proposed.An incremental incentive mechanism for demand response is designed to better accommodate the diversity among users.Moreover,an optimization strategy based on deep policy gradient algorithm for demand response incentives is proposed to solve the coupling optimization problem of electricity market bidding and demand response pricing under the constraints of RPS.The proposed mechanism and algorithm are validated through simulations,demonstrating good stability and adaptability,and effectively harnessing the adjustable potential of demand-side load resources.(4)Addressing the underutilization of distributed energy storage devices belonging to different entities on the "storage" side,a study of a coordinated scheduling optimization model considering the constraints of the RPS in a market environment for sources,loads,and storage is conducted.A shared distributed energy storage and load coordination optimization strategy is proposed.Two shared aggregation models for distributed energy storage are explored to reduce the cost of purchasing green certificates under RPS by increasing the absorption of local renewable energy,while also lowering the electricity cost for user groups in response to price signals from the electricity market,resulting in a win-win situation for the power system and users.Finally,the long-term evolutionary benefits of the source-load-storage coordination are studied,analyzing the influence of the RPS and prices on the long-term benefits of various market entities,and providing reference for the formulation of RPS policies.