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RESEARCH ON BI-LEVEL OPTIMAL SCHEDULING OF MULTI-SCENARIO-ORIENTED CCHP MICRO-ENERGY GRID GROUP

摘要


According to the difference of energy supply and demand characteristics, the cooling/ heating/ electric micro-energy grid group can give full play to the potential of space-time multiple energy sources complementarity and realize the efficient utilization of energy. However, with the increasing scale of renewable energy access, the randomness of renewable energy leads to the increasing operational risk of micro-energy grid group. In order to solve the above problems, a bi-level optimal scheduling model for multi-scenario-oriented CCHP micro-energy grid group is established. In the model, the micro-energy grids are interconnected and complementary to each other through heat pipeline system. In the first stage of the model, day-ahead energy supply plan is carried out. In the second stage, the energy supply plan of the first stage is adjusted in real time according to the output of renewable energy system (RES) in different random scenarios, which improves the ability and flexibility of the micro-energy grid group to deal with the randomness of RES on the premise of meeting the energy demand of users. Finally, multi- type CCHP micro-energy grid group in a certain demonstration base of RIES in China is taken as an example to analysis. The results show that although the the energy cost of the system increases with the increasing heating demand, it reduces the reserve cost to a certain extent. Although the reserve cost of the system increases with the increasing randomness of RES, which makes the cost of the system lower.

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