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Research On Multi-time Scale Optimal Operation Method Of Park-level Integrated Energy System

Posted on:2022-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:L FuFull Text:PDF
GTID:2492306566474354Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The park-level integrated energy system integrates technologies such as distributed generation,combined cooling,heating and power,with diverse morphological features and flexible operating modes.It not only has the characteristics of multi-energy complementation and efficient use,but also provides new ways for new energy consumption,which is the important physical carrier to improve the energy consumption structure of users and promote the construction of modern energy system.However,due to the small scale of the park,the randomness of renewable energy and multiple loads probably cause excessive day-ahead scheduling deviation of the park-level integrated energy system,which affects the reliability of energy supply.In response to the above problems,this paper mainly researchs the multi-time scale optimal operation method of the park-level integrated energy system.Firstly,the domestic and international development trends and research status of park-level integrated energy system are expounded,the current research achievements and shortcomings of the optimal operation method of park-level integrated energy system are analyzed,and the importance of researching the multi-time scale optimal operation method for the park-level integrated energy system is explained.Then,the mathematical models of the device units and energy hub of the park-level integrated energy system is established,and a multi-time scale optimal operation method for the park-level integrated energy system with wind power is proposed,which is divided into day-ahead scheduling,rolling scheduling,and real-time adjustment stages.In the day-ahead scheduling stage,the impact of demand response is considered,and the day-ahead scheduling is implemented with the objective of minimizing the daily operating cost of the system,which provides reference information for the economic operation of the system throughout the day;In the rolling plan stage,based on the day-ahead scheduling results,and take the different response time of thermal and electrical energy and different time constant of energy supply devices into account,the mixed-time scale rolling scheduling which for layer-by-layer dispatching of heat and electricity is executed,which formulate the basic operating points of each device output in the park;In the real-time adjustment stage,based on the rolling scheduling results,the devices in the park is adjusted in real time with the objective of minimizing the comprehensive adjustment amount of 15-minute level adjustable devices to reduce the imbalance rate between supply and demand and improve the reliability of energy supply.Finally,the case analysis reflects the ability of the park-level integrated energy system to consume wind power across energy and across time,and also verifies that as the forecast time scale decreases,the proposed method can reduce the influence of load and wind power forecast errors on the scheduling results step by step,reduce the intraday power adjustment amount of each device and the imbalance rate between supply and demand in the park,and improve the reliability of energy supply,which realizes the economic and reliable operation of the park-level integrated energy system.
Keywords/Search Tags:park-level integrated energy system, optimal operation, multi-time scale, demand response
PDF Full Text Request
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