Small Hydro Power Integration Mode And Islanding Operation Research

By the end of 2010, China has been built 45000 Small Hydro Power(SHP) plants, and installed capacity has reached more than 5400 million kilowatts, producing energy generation of about 160GWh/year, which represented 30% of total hydro capacity and annual power generation capacity. As the development of SHP,1/2 regions and 1/3 cities of China and more than 300 million rural residents live with electricity. SHP played an important role in raising the level of rural electrification, promote rural economic and social development, improve farmer's production and living conditions, reduce emissions of greenhouse gases, as well as the power system disaster emergency. However, as a Distributed Generation, SHP has many technical and management problems. In order to promote the development of SHP, it is necessary to further explore the related issues of SHP integrated into distribution network.This paper discussed the main impact to the network planning of SHP integrated into distribution network from SHP definition, development, basic principles and characteristics. Then a multi-objective optimal model is proposed that take into account minimizing the investment and operating cost of SHP and the power loss of distribution networks and maximizing environmental benefits. Genetic Algorithm(GA) is used to get the optimal results of siting and sizing of SHP.Then, this paper discussed islanded operation of Distributed Generation (DG), and proposed a set of island partitioning algorithm. The algorithm converted the distribution networks into weight rooted tree, then search from the root to top until meet the island operating conditions.Finally, this paper introduces a comprehensive assessment system to evaluate the impacts of distributed generation integration in three aspects as economy, reliability and security. The calculation method corresponding to each index in different aspects is also given. Analytic hierarchy proces(sAHP)is adopted to build the hierarchy of index and set the weight to each of them. Then, the comprehensive evaluation is achieved by setting the index weights and using the fuzzy algorithm, which converts the calculation results of each index into dimensionless quantity.