Research On Power System Robust Economic Dispatch Method Based On Swarm Dominate Competitive Optimization Algorithm

With the continuous development of economic society,people’s demand for electricity is also increasing.In order to achieve green and sustainable development,integrating large-scale new energy power generation into the grid can play an important role in reducing emissions.As a representative of new energy power generation,wind power generation has become more mature and widely used in related power technologies.However,large-scale integration of wind power into the power grid is also facing a series of difficulties.Since the output of wind farms is affected by local weather,the level of wind power forecasting is limited.In order to overcome the difficulties caused by the uncertainty of wind power generation to the day-ahead dispatching of conventional units by the power system dispatching department,this paper is based on the idea of robust optimization and considers different wind farms.Under the different wind farms output forecasting model,the optimal dispatching strategy of conventional units in the power system is determined.The main research contents of this paper are as follows:1.In order to solve the robust economic dispatching problem of the power system more accurately and efficiently,the traditional stochastic programming needs to obtain the distribution density function of the uncertain variables in advance,and the linear programming theory needs to have strict requirements on the model and complex model transformations.Based on the idea of robust optimization,this paper establishes a power system constrained optimization model considering the uncertainty of wind power generation,and uses a heuristic-based intelligent optimization algorithm to solve the power system robust optimization problem.2.Improve the swarm competition mechanism,and combine the idea of multi-objective optimization to propose a Swarm Dominate Competition Optimization algorithm（SDCO）suitable for high-dimensional optimization problems.Since the dispatching problem of the power system generally needs to solve the output value of each unit in each time period,for the output value of the ten-unit system at each time in a day,there are at least 240 solution variables,which is a large-scale optimization problem.In order to enhance the exploration and development capabilities of swarm intelligence optimization algorithms,this paper proposes an improved two-individual competition evolution mechanism,don’t use the global average position of the population to guide the evolution of individuals,and directly use three particle competition to guide the inferior individuals to learn evolution,and apply the Swarm Dominate Competitive Optimization algorithm to solve the robust economic dispatch problem of the power system.3.The forecasted output interval of the wind farm does not necessarily guarantee that the dispatch system can have a robust solution,this paper proposes a slack variable method to reduce the upper bound of the wind power prediction interval,under the premise of ensuring that the system has a robust solution,other conventional units and wind power in the safe interval are dispatched.At the same time,considering the valve point effect of the conventional coal-fired thermal power unit steam turbine and the power balance of the grid line loss,the unit output range limitation,the ramp rate and other constraints,a constrained optimization model for the robust economic dispatch of the power system is established and uses the Swarm Dominate Competitive Optimization algorithm to solve it.4.In view of the situation that the wind farm output forecast is expected value rather than an interval range,considering the uncertainty that wind power will fluctuate up and down the expected value due to environmental weather,the Chebyshev inequality is used to construct wind power with a certain confidence probability.Then establish a robust scheduling model and use the Swarm Dominate Competitive Optimization algorithm to solve it,and analyze the influence of the uncertainty set constructed under the uncertainty of wind power and different confidence levels on the cost function of the robust economic dispatch of the power system.