Optimal Dispatching Of Park Energy Internet And Configuration Of Energy Devices

The concept of energy internet provides a new direction for environmentally friendly and sustainable energy development.Park energy internet is coupled with electricity,heat/cold,natural gas and other energy sources,contributing to complex and diverse energy supply methods.With the same load demand,there are a variety of energy supply schemes and operation strategies to be chosen.Therefore,how to coordinate and optimize the operation of park energy internet and rationally allocate energy devices are the key technical issues that need to be solved urgently.Based on this,this paper carried out research on the optimal dispatching of park energy internet and planning of energy devices.Firstly,a basic overview and the mathematical modeling of park energy internet are provided which lays a theoretical foundation for the subsequent study on the dispatching and planning of park energy internet.After the introduction of basic structure and characteristics,the equivalent structure of park energy internet is abstracted.The models common energy production,conversion and storage devices are furtherly established,and the mathematical model of energy power balance relationship is derived in park energy internet.Secondly,the day-ahead optimal dispatching model of park energy internet based on light robustness optimization are constructed after the introduction of light robustness optimization theory.Considering the uncertainty of the renewable energy output and load,the dispatching model aims at the maximum difference between comprehensive profit and penalty term after the introduction of slack variables representing energy power shortages in the constraint of energy supply and demand,and transforms the uncertain constraints into deterministic constraints through the theory of counterpart transformation so that the model can be solved by conventional optimization methods.The feasibility of the proposed model to improve the conservativeness and economic efficiency are verified in the simulation,where the influences of different maximum load shortage ratios and penalty coefficients on day-ahead dispatching results are also analyzed.Finally,the evaluation indicators is put forward,including comprehensive energy self-sufficiency rate,comprehensive energy utilization rate and energy shortage expectation.A bi-level optimal configuration model of energy devices in park energy internet is established taking into account the proposed multiple evaluation indicators.The upper level of the proposed model aims to optimize the type selection and configuration quantity of energy equipment by minimizing the sum of equivalent annual investment cost and operation cost,while the lower layer aims to optimize the output value of energy devices by minimizing the operation cost,considering the constraints of evaluation indicators.A hybrid algorithm combined with catastrophe genetic algorithm and CPLEX solver is developed to solve the model.The simulation results suggest that the planning method can balance the economics,energy sustainability,efficiency and reliability of the system.