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Research On Flexible Operation Strategy For High Shares Of Wind Power Participating In Electricity Markets

Posted on:2021-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q LiuFull Text:PDF
GTID:2392330611465399Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The global power system is undergoing profound changes.The main driving force is low carbonation,which has led to a rapid transformation of the power source structure,especially the renewable energy power generation represented by wind power has been rapidly developed as an important way to promote energy transformation,energy conservation and emission reduction.However,the wind power output has strong randomicity and volatility,which not only puts great pressure on the safe and stable operation of the power system,but also hinders the pace of wind power development and utilization.It is necessary to fully enhance the flexible regulation ability of the system to adapt to the access of high proportion of wind power in the power system.At the same time,China's new round of power system reform is being piloted.How to release the potential of flexibility in the system through market-oriented means is undoubtedly the key to achieving a high proportion of wind power grid-connected operation.Therefore,it is of great theoretical value and practical significance to study the flexible operation strategy of the electricity market with a high proportion of wind power participation.First,the flexibility static indicator describing the technical characteristics of power generation resources and the flexibility dynamic indicator describing the operating characteristics of the power system are combined to build a comprehensive evaluation framework of the flexibility of dynamic and static.On this basis,a flexible dynamic evaluation model with the objective of minimizing the system operating cost and flexible ramping capacity shortage is proposed,and then an improved analytic hierarchy process is used to calculate the comprehensive indicator that can reflect the degree of generation resource adjustment ability to the current system flexibility.The actual data of a provincial power grid were used to verify the effectiveness of the proposed flexibility assessment indicator and optimization method.In order to solve the problem of insufficient ramping ability of the power system caused by the high proportion of wind power with strong random fluctuation,an electrical energyflexible ramping products collaborative optimization model considering the flexibility indicator was proposed.In this model,the flexible comprehensive indicator is used to adjust the unit quotation;at the same time,the scenario method is used to model,which is based on the wind power output forecast value of day ahead and a series of error scenarios to simulate the realtime random fluctuation characteristics of wind power,so as to ensure that there is always a group of optimization schemes in the decision-making of the day ahead stage that can meet the power balance requirements and flexible ramping ability requirements and flexible climbing ability demand in the real-time stage.The validity of the proposed model is verified by testing the actual provincial system.Aiming at the issue of the market clearing of the multi-area interconnected electricity market of the multi-area interconnected power system with high proportion of wind power access,a new decentralized market clearing method is proposed.Firstly,the multi-area interconnected system is decoupled,and the target cascade analysis method is used to decentralize it,so that it can alternately solve the problem of market clearing in each area and the coordination and optimization problem of interconnection lines between areas.For the problem of insufficient ramping ability caused by the random fluctuation characteristics of wind power,the flexible ramping products considering ramping needs is used to deal with it,and is provided by both the units and the energy storages.The simulation results of the two-area 6-bus interconnected system and the three-area IEEE RTS system show that the proposed method only requires limited information sharing to protect the privacy information of each area.
Keywords/Search Tags:high shares of wind power, electricity market, flexibility assessment, flexible ramping products, decentralized optimization
PDF Full Text Request
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