Search Results (2)

This paper focuses on the economic power dispatch (EPD) operation of a microgrid in an OPAL-RT environment. First, a long short-term memory (LSTM) network is proposed to forecast the load information of a microgrid to determine the output of a power generator and the charging/discharging control strategy of a battery energy storage system (BESS). Then, a deep reinforcement learning method, the deep deterministic policy gradient (DDPG), is utilized to develop the power dispatch of a microgrid to minimize the total energy expense while considering power constraints, load uncertainties and electricity price. Moreover, a microgrid built in Cimei Island of Penghu Archipelago, Taiwan, is investigated to examine the compliance with the requirements of equality and inequality constraints and the performance of the deep reinforcement learning method. Furthermore, a comparison of the proposed method with the experience-based energy management system (EMS), Newton particle swarm optimization (Newton-PSO) and the deep Q-learning network (DQN) is provided to evaluate the obtained solutions. In this study, the average deviation of the LSTM forecast accuracy is less than 5%. In addition, the daily operating cost of the proposed method obtains a 3.8% to 7.4% lower electricity cost compared to that of the other methods. Finally, a detailed emulation in the OPAL-RT environment is carried out to validate the effectiveness of the proposed method. Full article

Cimei Island is a second-class outlying island. In recent years, due to the lack of coastal fishery resources and restrictions on traffic and climate, the traditional fishery and tourism industries that residents rely on for a living have faced challenges. This research is based on the Barbados Programme of Action, from the perspective of environmental conservation, industrial economy, and social development in sustainable development, and from the perspective of local stakeholders, to construct a sustainable tourism action approach and development mechanism in Cimei Island. A qualitative research method was adopted. Various sources of data, including focus discussions and in-depth interviews with local stakeholders, textual materials, and field observations, were collected and analyzed. The results are as follows: (1) Cimei faces great threats in social, economic, and environmental aspects, which has led to Cimei Islands’ promotion of permanent development. (2) The current development of Cimei cannot effectively drive industrial development or the transformation of fishing villages. However, residents are worried that overdevelopment will impact the ecological environment and lifestyle on the Islands. (3) Cimei’s sustainable tourism development approach should be to first take inventory of the ecological environment and cultural resources, plan related environmental laws and regulations, and finally, use sustainable tourism to drive industrial development to carry out island development. Full article