Engineering Research Center for Motion Control of Ministry of Education

Nanjing, China

Engineering Research Center for Motion Control of Ministry of Education

Nanjing, China
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Shen C.,Nanjing Southeast University | Shen C.,Engineering Research Center for Motion Control of Ministry of Education | Gu W.,Nanjing Southeast University | Gu W.,Engineering Research Center for Motion Control of Ministry of Education | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2011

An underfrequency load shedding(UFLS) strategy is proposed for an islanded microgrid. The characteristics of different distributed energy resources are summed up and a dynamic microgrid simulation model is developed that is composed of the wind turbine-driven doubly-fed induction generator (DFIG), photovoltaic, fuel cell, microturbine, storage battery and local controller. The frequency control scheme of an islanded microgrid is explored and the relationship between the rate of frequency change, inertia constant and the magnitude of active power deficiency is studied, by means of which the strategy by estimating the magnitude of disturbance to implement UFLS is put forward. Based on the microgrid constructed, the experimental method of obtaining microgrid equivalent inertia is demonstrated. Time domain simulation results show that the proposed UFLS strategy is capable of rapidly and reliably restoring the frequency stability of the microgrid. © 2011 State Grid Electrtic Resarch Institute Press.


Wang R.,Nanjing Southeast University | Wang R.,Engineering Research Center for Motion Control of Ministry of Education | Gu W.,Nanjing Southeast University | Gu W.,Engineering Research Center for Motion Control of Ministry of Education | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2011

Featured by its energy saving capability, environment friendliness and economic benefit, the combined heat and power (CHP) system has a great prospect for further development and wider applications. A mathematical model is developed to achieve economic and optimal operation of a CHP microgrid which consists of wind turbine driven generators, photovoltaic cells, fuel cells, heat recovery and gas fired boilers, battery storage systems and thermal as well as electrical loads. The model uses chance constrained programming (CCP) method to consider the stochastic nature of wind power, photovoltaic power, thermal and electrical loads. A stochastic simulation based particle swarm optimization (PSO) algorithm is proposed to solve the optimization model. The optimal operation scheme is studied under different ways of deployment of micro-sources. Simulation results show that the proposed method can be adopted to find the optimal deployment of micro-sources, such that the dynamic economic dispatch of the microgrid is possible to reduce the operation cost effectively. © 2011 State Grid Electric Power Research Institute Press.

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