| In view of the irrational distribution of my country’s energy structure,low overall energy supply efficiency,and serious environmental pollution,it is urgent to build a clean,environmentally friendly,high-efficiency and low-carbon energy interconnection system.The proposal and development of virtual power plant technology provides a new way to solve the above problems.It uses advanced communication and control technology to aggregate user-side decentralized and fragmented distributed energy and flexible loads to form high-power,large-capacity and stable power.Regulate the resource pool.However,the randomness,volatility,and dispersion of distributed energy output within virtual power plants have brought serious hidden dangers to the safe and stable operation of the power system.It will cause economic losses and also impact on the power grid.The increase in penetration rate will Will further exacerbate this problem.In response to the above problems,this article mainly conducts in-depth research and analysis from the two aspects of virtual power plant internal energy optimization management and participation in external diversified market operations.The main research contents are as follows:In the aspect of VPP internal energy optimization management,taking full account of various uncertain factors such as system internal wind,solar output,and flexible load,a virtual power plant thermoelectric combined stochastic-robust dual-layer optimization scheduling method is proposed.First,a VPP thermoelectric combined double-layer coordinated optimization operation model considering flexible loads is established.The upper layer optimizes the load curve through the coordinated operation of multiple flexible loads;the lower layer aims at the lowest comprehensive cost of the system to achieve the optimization of each equipment In the two-layer optimization process,fully consider the respective characteristics of multiple uncertainties in the system,use multi-scene technology to generate continuous scenes of wind and light output,and use robust optimization to deal with the uncertainty of multiple flexible load forecast errors.To construct a random-robust optimization uncertain processing strategy.The coordinated and optimized configuration of multiple flexible loads enhances the flexible adjustment ability of the system and makes the economy better.The comparison of the optimization effects of flexible loads under different robustness coefficients can provide a reference for decision makers in different demand scenarios.In terms of participating in the operation of the external diversified power market,a variety of uncertain factors have been fully considered,and a coordinated and optimized operation strategy for virtual power plants participating in the dual market is proposed.On the basis of meeting the system load demand,participating in the optimal dispatch of the energy market with the electric power balance,and participating in the spinning reserve market dispatching operation with the reserve capacity of the controllable generator set can effectively improve the overall economic benefits.At the same time,the virtual power plant load loss is used as a risk quantitative indicator,and its risk loss is quantitatively analyzed to reduce the potential risk loss caused by the interaction of multiple uncertain factors,and the optimization strategy for participating in the dual market under different risk levels is obtained.It provides an effective reference method to balance the economy and robustness of the system.Finally,through MATLAB simulation software,the operation strategy proposed in this paper was simulated and verified.The experimental results show that under the same system configuration and prediction errors,the improved operating model can significantly improve its economic efficiency compared with the traditional virtual power plant,effectively reduce the influence of uncertain factors in the system,and enhance its own adjustment ability. |
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