Economic optimization method of microgrid containing wind power and photovoltaic power generation

Abstract

The invention provides an economic optimization method of a microgrid containing wind power and photovoltaic power generation. The method comprises the following steps: constructing a microgrid operation data set; establishing an operation optimization target function; establishing a constrain condition of the operation optimization target function; constructing an improved particle swarm optimization algorithm model, and outputting an optimal location; and obtaining the least cost of the optimal solution according to the optimal location and the operation optimization target function, and accomplishing the microgrid economic optimization. Through the microgrid economic optimization method provided by the invention, the diversity of the particle is increased, the capacity of searching theglobal optimum is increased, and the method is hard to trap into the local optimum. And meanwhile, the searching capacity on the optimal solution by each particle is further improved by adopting self-adaptive inertia weight and learning factors, better optimization effect can be acquired when performing economic optimization on this cooling-heating-power cogeneration microgrid, the problem that the economic optimization problem is easy to trap into the local optimum is effectively solved, and the better economic optimization effect is acquired.

Description

technical field [0001] The invention relates to the technical field of micro-grid economic optimization, and more specifically, relates to a micro-grid economic optimization method including wind power and photovoltaic power generation. Background technique [0002] With the extensive use of fossil energy, the energy problems faced by human beings are becoming more and more serious, and the energy crisis is coming towards us. The development of the world is inseparable from energy, so improving energy utilization efficiency and increasing the utilization rate of new energy is the future energy development trend. The consumption of fossil energy not only causes an energy crisis, but also poses great harm to our environment. Finding clean and efficient renewable energy to replace traditional fossil energy is of great importance to the environment, alleviating energy pressure, and promoting social and economic development and continuous progress. important and far-reaching sig...

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Problems solved by technology

[0003] China has abundant wind energy resources and solar energy resources. In order to improve the utilization rate of wind energy and solar energy, a cold and thermal power microgrid model including wind power and solar power generation is proposed. The advantages of different types of energy, but at this stage, the ability to absorb these two new energy power generation is insufficient, and the phenomenon of "abandoning wind and light" is serious. This will not only fail to increase the proportion of clean energy in energy consumption, but will also affect the microgrid. The economic scheduling problem makes the microgrid unable to obtain good economic efficiency

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