Necessity Analysis on Automated Demand Response to Expand Renewable Power Generation Capacity

Autor: Xiao-Yan Cheng, 程小鉛
Rok vydání: 2016
Druh dokumentu: 學位論文 ; thesis
Popis: 104
According to the policy “Sustainable Energy and Resource Management” announced by Ministry of Economic Affairs in 2016, the renewable energy sources will account for 20 percent of total power generation capacity in 2025. In addition, Taipower plans to decommission the Chinshan, Kuosheng and Maanshan Nuclear Power Plant respectively from 2018 to 2025. For these reasons, Taiwan government will spare no effort to promote renewable power generation. The thesis consists of three main parts: First, researching on the renewable energy power grid of different countries, we reviewed the problems of power grids that have insufficient capacity and its solutions. Regarding the same predicament in Taiwan, Institute for Information Industry (III) has introduced internationally recognized OpenADR standard, and expanded its function to restrict power generation capacity of renewable energy as Energy Information Communication Framework (EICF). Second, we analyzed EICF and further discussed its system framework; including methods of connecting renewable energy power generation control center (or its energy management system) with distribution center of an electric utility, and even between Resource Energy System and Virtual End Node of the aggregator. Third, focusing on Photovoltaic Roofing System and large-scale offshore wind farm, we demonstrated multiple crucial scenarios of restricting power generation capacity of renewable energy; furthermore, we designed the adequate power generation capacity or the output restrictions process, and planned suitable communication interface system. In summary, by evaluating different situations of insufficient capacity of power grid for renewable energy generation and simulating actual cases in Taiwan, we explained how to utilize Auto Demand Response to restrict renewable energy power generation capacity in order to solve the predicament of insufficient capacity of power grid, and as an effective tool for promoting renewable energy generation power grid.
Databáze: Networked Digital Library of Theses & Dissertations