Two-stage Robust Optimal Cooperative Scheduling Method For Multi-energy Complementary Microgrids Considering Demand-side Response Uncertainty

In order to achieve the strategic goal of "double carbon",the energy industry,which accounts for a large proportion of carbon emissions,has become the main force of energy conservation and emission reduction.Multi-energy system with advantages such as cascade utilization of energy is an important solution for the low-carbon transformation of the energy industry.And with the implementation of the strategy,scenery and other new energy penetration in the energy system has been increasing.The construction of multi-energy complementary micro-grid can realize the overall optimization of energy and multi-energy coupling and complementation,which plays an important role in promoting the efficient use of new energy.Due to the complex multi-energy structure of the multi-energy complementary micro-grid,its operation performance largely depends on advanced collaborative scheduling technology.However,the existence of source load uncertainties such as time series volatility and load demand of new energy power generation often leads to the deviation of its scheduling scheme,and the absorption problem of the system will also be highlighted with the continuous improvement of the penetration proportion of new energy.With the deepening of electric power reform,the potential advantages of demand-side resources have received extensive attention.The participation of demand-side response in active scheduling is an important way to balance the source and load and improve the absorption rate of new energy.In this paper,the participation of demand-side response in the cooperative scheduling of source and load of multi-energy complementary micro-grid is also adopted to improve the system’s absorption capacity of new energy and realize efficient utilization of energy and reasonable allocation of resources.However,this mechanism has a high degree of uncertainty,which is coupled with the volatility of wind,light and other new energy generation and the uncertainty of multi-energy load prediction.The multi-source and load uncertainties constituted by this mechanism put forward new requirements for the multienergy management of multi-energy complementary micro-grid.In this context,in Chapter 2,this paper firstly constructs a multi-energy complementary micro-grid structure taking into account the improved AC/DC topology.Objective functions are established from the perspectives of total operation cost and carbon emission,and constraint conditions are set from three aspects: energy balance constraint,equipment operation constraint and energy purchase constraint.In Chapter 3,a two-stage robust cooperative scheduling model considering the uncertainty of wind-power output at the source side and the uncertainty of electricity,gas and heat load prediction at the load side is proposed,which is solved by column and constraint generation algorithm.Taking a multi-energy complementary micro-grid in Rizhao,Shandong Province as the research object,the effectiveness of the proposed multi-energy complementary micro-grid structure and the proposed collaborative scheduling model is verified from three aspects: system scheduling results,absorption ability and the influence of uncertainty regulation parameters.Then,based on the two-stage robust optimization method proposed in Chapter 3,this paper proposes a two-level optimal cooperative scheduling method under the dynamic TOU pricing mechanism in Chapter 4.Firstly,the stochastic robust optimization model established in this paper is used in the upper layer model to solve the problem of multiple source load uncertainties in the multi-energy complementary microgrid dispatching.Secondly,in the lower model,the demand side response is guided by the price change signal to optimize the load curve,solve the problem of wind and light abandonment caused by the safe and stable operation in the upper control,and obtain the response uncertainty interval,which affects the box type uncertainty set of the upper robust optimization model.Then the corresponding solution method and detailed solution steps are presented.Then,a multi-energy complementary micro-grid in Rizhao,Shandong Province is also taken as the research object to verify the effectiveness of the proposed dual-layer optimal cooperative scheduling model.Firstly,the uncertainty adjustment parameters in the worst scenario were set to obtain reasonable system collaborative scheduling results.Secondly,the system’s absorption ability to different proportions of new energy access scenarios was analyzed.Finally,the influence of uncertainty adjustment parameters on scheduling results was analyzed.The results show that,by solving the proposed two-layer optimization model,a cooperative scheduling scheme with minimum objective function can be obtained under the conditions of wind-wind output uncertainty at the source side,price-type demand-side response at the load side and load uncertainty in the multi-energy complementary microgrid.Moreover,after optimizing the AC/DC load curve by price-type demand-side response,The absorption rate of the system under different proportions of new energy access has been further improved,that is,the system’s ability to adapt to the high proportion of new energy penetration has been improved.At the same time,the large uncertainty of load response has been dealt with,so that the maximum absorption rate is achieved while the safety and stability of the system operation has been improved to some extent.The conservatism of the cooperative scheduling scheme can be adjusted flexibly.