| Promoting a revolution in energy production and consumption and building a clean,low-carbon,safe and efficient energy system is an important way to address the global climate crisis and reduce greenhouse gas emissions.The introduction of the double carbon target makes it imperative to reduce the proportion of coal in primary energy consumption,increase the proportion of clean energy consumption and build a clean energy system with a high proportion of new energy sources.However,new energy sources,mainly wind and photovoltaic power generation,are highly random and volatile,and large-scale access to the grid will have many adverse effects on the safe and stable operation of the grid.Optimizing the configuration of scenic capacity and reducing fluctuations in new energy output through complementary scenic features is an important means of coping with largescale grid connection of new energy power,promoting the development of new energy power and improving the energy structure.Therefore,this paper focuses on the optimal allocation of regional installed capacity of wind and solar power,and follows the research line of "long-term complementarity analysis of wind and solar power output-minimisation of comprehensive electricity cost+maximisation of load matching-optimal allocation model construction-optimal allocation model solution-optimal solution decision".Firstly,a scenery complementarity analysis model is established based on the Copula function model to determine the achievability of optimal allocation from the perspective of the long-term complementarity of regional scenery resources;furthermore,considering the impact of a high proportion of new energy power to the grid on the operation and dispatch of the power system,the optimal allocation objectives are set from the aspects of allocation cost and load matching,and a new comprehensive electricity generation model is constructed that takes into account the system cost and external cost of new energy power to the grid.In addition,a dual-objective optimal allocation model with cost and matching degree as the objectives is established considering the constraints in the actual construction process,and the NSGA-Ⅱ algorithm is used to solve for the optimal allocation of installed capacity to obtain the pareto solution set for the optimal allocation of installed capacity of the regional power generation system.In order to assist decision makers in the selection of optimal configuration solutions,a multi-objective decision model is constructed with the solved pareto solution set as the set of solutions to be decided,and a comprehensive weighting based on game theory is used to calculate the optimal level proximity index of each optimal solution and rank the solutions in order to achieve scientific decision making;finally,through example analysis,the cost of electricity and load of a single wind/light power solution and an optimal matching Finally,the validity of the model is verified by comparing the cost of electricity and load matching indexes of the single wind/light power scheme and the optimal matching scheme under the same penetration scenario.By constructing a cost measurement model for high-penetration new energy power systems,the paper achieves scientific measurement of the cost of gridconnected wind/light co-generation.At the same time,it further considers the level of scenery complementarity and optimizes the configuration of the installed capacity of scenery in the regional power generation system to minimize the cost of scenery power generation and the impact of grid-connected consumption on the operation and dispatch of the power system,providing a reference for the scientific planning of the installed capacity of new energy power in the regional power generation system,which is conducive to promoting the large-scale grid-connected consumption and orderly development of new energy power. |
PDF Full Text Request