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The Research on Optimal Economy of Microgrid Based on Particle Swarms Optimization (PSO) Zhang Kai 1 Jia Yuhong 1 Li Haoyang 2 Gu Wen zhuo 1 (1.State Grid JiBei Electric Power Co.Ltd.Qinghuangdao Power Supply Company 2.State Grid JiBei Electric Power Co.Ltd Electric Power Research Institute) ABSTRACT: With the microgrid technologe has become more and more mature, the power outputs of the distributed generations (DGs) in micro-grid to make the system’s operation economic and reliable has become the focus. In this paper, by studying the operating characteristics of the DGs and the changes of load we established a mathematical model to optimize microgrid operation and developed the operating strategies of island operation and network operation. Then we used PSO to coordinate the power output of distributed generations. A Research on Optimal Economy of Microgrid Based on Particle Swarms Optimization was proposed. By means of the presented disposals, we know that using particle swarm optimization algorithm can quickly coordinate the power output of the distributed generations and make target costs a minimum to achieve optimal economic operation. 1 INTRODUCTION This paper proposed a micro grid economic operation optimization design method.Set the sell electricity cost of the micro grid distributed power active power, operation maintenance cost, fuel consumption cost, pollution gas processing cost and micro power grid line loss in the system reduced cost as objective function. Set the equality constraints in the supply and demand balance of power in the micro grid and the inequality constraints of each node voltage limit and energy storage device charge-discharge threshold limit as constraint conditions. Put forward particle swarm algorithm of micro economic optimization design method of the grid. The simulation results show that the method can fast coordination of the distributed power supply output target cost minimum, economic operation to achieve the optimal. 2 Micro power grid optimization scheduling model 2.1 Objective function The objective function of micro power system economic optimization consists of the following sections: Goal 1: micro grid economic benefit is supreme, namely minimum generating cost, including micro power grid power generation unit fuel costs, operation maintenance cost as well as the micro grid trading revenue. N N N min F CFUi COMi Ccx Pgrid (1) 1 i 1 i 1 i 1 In (1), N is the total power supply number of micro power grid, C Fui is the ith micro power fuel costs. COmi is the ith operation maintenance costs of the micro power. When Pgrid ≥0, C cx=Cbuy,when P grid<0 时 C cx=C cell,Cbuy、Ccell are the micro grid power purchase and sale of electricity price to the network. 3 N min F2 j ij Pi j 1 i 1 Csun Psun *0.419 (2) (3) C总 min F1 min F2 Csun (4) 2.2 Constraint conditions P i Qi n Pis ViV j Gij cos ij Bij sin ij 0 ji (5) n Qis ViV j Gij cos ij Bij sin ij 0 ji V j min V j V j max (6) 3 Based on particle swarm algorithm to solve 3.1 Particle swarm optimization (pso) algorithm 3.2 Particle swarm optimization (pso) algorithm in the application of micro power grid optimization 4 The example analysis 4.1 The example system 4.2 An island running example analysis 4.3 Parallel operation example analysis 5 CONCLUSIONS This paper summarized the composition and structure of micro power grid. Analysed complex characteristics of the micro economic optimization of power grid research status and many different kinds of the distributed power supply,different power characteristics. According to the different operating characteristics of distributed power supply, the particle swarm optimization algorithm is used for micro islands of power grid and the parallel operation of the example simulation in two kinds of circumstances. Simulation results show that using the particle swarm algorithm to optimize a micro power grid operation, not only solving the speed problem, and can be obviously improved in the process of the micro grid operation of the load power supply quality, reduce line losses, reduce the pollution gas emissions and run maintenance cost, etc. both economic and environmental protection. KEY WORDS: micro-grid; optimization; particle swarm optimization; distributed generations Zhang Kai(1987.9) Male Master Degree Candidate The main research direction is power quality analysis and control, distributed generation and micro grid operation control and protection technology. E-mail: [email protected] Mobile 18533515925