Abstract

Based on the pursuit of different goals in the operation of the microgrid, it is not possible to meet the lowest cost and the least pollution at the same time. From the perspective of economy and environmental protection, a microgrid model including photovoltaic power generation, wind power generation, micro gas turbine, fuel cell and energy storage device is proposed. This paper establishes a comprehensive benefit objective function that considers both microgrid fuel cost, maintenance management cost, depreciation cost, interaction cost with public grid and pollutant treatment cost. In order to avoid the defect that the traditional particle swarm optimization algorithm is easy to fall into the local optimal solution, this paper uses the combination of simulated annealing algorithm and particle swarm optimization algorithm to compare with the traditional particle swarm optimization algorithm to obtain a more suitable method for microgrid operation. Finally, a typical microgrid in China is taken as an example to verify the feasibility of the algorithm.

Highlights

  • The micro power supply devices mentioned in this paper are: Photovoltaic power generation system (PV), Wind turbine (WT), Micro gas turbine (MT), Fuel cell (FC) And diesel generators (Diesel generators, DEG for short)

  • Where: represents the power generation of the i-th power generating unit currently working at time t; represents the power emitted by the energy storage device, and if it is a negative number, it is the energy storage of the microgrid Device charging; indicates the power purchased from the public grid

  • The particle swarm optimization algorithm (SAPSO) based on simulated annealing algorithm proposed in this paper introduces the idea of probability jump in simulated annealing algorithm, so that SAPSO algorithm accepts better solution, and has a certain probability to try to accept the difference

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Summary

Grid-connected microgrid structure model

The first step in solving the environmental economic optimization problem of the microgrid is to establish a mathematical model. The common grid-connected microgrid structure is shown in Figure 1 [1,2]: Public grid. The grid-connected microgrid generally includes: a micro power supply device, a user load, an energy storage device, and the like. The micro power supply devices mentioned in this paper are: Photovoltaic power generation system (PV), Wind turbine (WT), Micro gas turbine (MT), Fuel cell (FC) And diesel generators (Diesel generators, DEG for short). The energy storage device in this model considers the more common leadacid batteries (BAT), and the load refers to the daily load demand in life. When solving the micro-grid optimization scheduling problem, a mathematical model is built according to the performance of each device to calculate the working condition of each unit

Grid-connected microgrid optimization description
Microgrid optimization objective function
Optimization of operating constraints
Traditional particle swarm optimization
Particle Swarm Optimization Algorithm Based on Simulated Annealing Algorithm
Initial temperature setting
Annealing speed setting
Numerical simulation analysis
Simulation parameter setting
Findings
Running results in two algorithms in the grid-connected mode

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