With the rapid development of carbon trading market, the volatility trend of carbon emission trading price (CETP) becomes one of the factors that cannot be ignored in energy system planning. Based on this, this paper proposes a multi-objective expansion planning model for park-level integrated energy system (PIES) that takes into account the volatility trend of CETP. First, the influencing factors of CETP prediction are filtered and downscaled, and a kernel extreme learning machine (KELM) model based on the improved multi-objective grey wolf algorithm optimizer (IMOGWO) is used for probabilistic interval prediction of CETP. Next, the operational characteristics of each carbon emission device are analysed and a model for calculating the cost of carbon trading is proposed. Then, a two-layer PIES planning model is developed with the objective of minimizing the annualized system cost and carbon emissions during the expansion planning cycle, the upper-layer model is a planning model for solving equipment expansion scenarios, and the lower-layer model is an operation model for calculating typical operation schemes. Finally, the simulation effect of the prediction model is verified by the European carbon trading data, and the planning schemes are compared and analysed to prove the effectiveness of the proposed method.

With the development and improvement of carbon trading mechanism and the promotion of energy internet strategy, integrated energy system (IES) as the physical carrier of energy internet has an important strategic positioning. Taking electricity-gas-heat multi-energy flow model of IES as the research object, it has important theoretical value and engineering significance to carry out the planning and design research of IES on the basis of quantitative and qualitative analysis of the operational coupling mechanism between different systems and full consideration of the uncertainty of carbon trading market. Based on this, a regional integrated energy system expansion planning model based on the uncertainty of carbon trading price is proposed in this paper. First, a combined forecasting model based on fast integrated empirical modal decomposition (FCEEMD), improved segmented adaptive gray wolf optimization (SAGWO) and least squares support vector machine (LSSVR) was used to simulate the trend of carbon price fluctuations. Second, a stochastic probability distribution model for carbon trading prices was designed using a mean regression model in combination with a sample of carbon trading forecasts. Then, a two-stage stochastic planning model taking into account the grid constraints and system operation constraints is constructed with the objective of minimizing the whole life cycle cost. Finally, the planning schemes under different carbon trading models are compared and analyzed by means of calculation examples, and then the effectiveness of the proposed method is demonstrated.

With the rapid development of carbon trading m arket, carbon price volatility has become one of the factors that cannot be ignored in energy system planning. Based on this, th is paper proposes a park-level integrated energy system expans ion planning method based on dynamic carbon trading model. A combined prediction model based on Fast Integrated Empiri cal Modal Decomposition (FCEEMD), Multi-Objective Gray $W$ olf Optimization (MOGWO) and Least Squares Support Vecto r Machine (LSSVR) is used to simulate the future carbon price data, and a calculation model of carbon trading cost is establish ed. Then, set the maximize system net revenue over the extende d planning cycle as the objective, and a park-level integrated en ergy system considering the cost of carbon trading is establishe d. Finally, the accuracy of the prediction model is verified by E uropean carbon trading data, and the performance of the plan ning scheme under different carbon trading models is compare d and analyzed to verify the effectiveness of the proposed method.

Faced with the highly overlapping factors of the external disturbances -- natural disasters caused by extreme climate change, and internal interactions -- the contradiction between natural conditions and rapid urbanization, traditional spatial planning and design used to pursue economic development could not be flexible enough to respond to the dynamic and uncertain future of the Pearl River Delta (PRD). Therefore, spatial planning and design should pay great attention to the fragile natural base layer and unexpected external disturbances that will negatively impact the PRD caused by increasing natural disasters, such as flooding and land subsidence situation. Based on the idea of spatial resilience, this doctoral dissertation aims to give an answer to the research question: What are the theories and methods of spatial planning and design for resilience? How is it possible to apply the theory and method of spatial planning and design for resilience to the PRD? Five major research contents are conducted. First of all, literatures on exploring the physical context, the crucial stages of spatial transformation, as well as spatial planning and design practices of the PRD are reviewed. Secondly, the theory of spatial planning and design for resilience is systematically researched. Thirdly, implementation method for spatial planning and design for resilience is provided. Fourthly, the empirical research of the theory and method of spatial planning and design for resilient PRD is conducted and possible new schemes are produced. Fifthly, the corresponding principles and strategies of resilient flood control and drainage on Hengli Island are proposed. The research outcomes obtained from this doctoral dissertation can be possibly applied to the further spatial planning and design practice for establishing a resilient PRD.

Independent Study (M. Com.Arts)--Global Communications, Graduate School, Bangkok University, 2017

A hearing-impaired child′s resistance behavior was intervened through observation and behavior changing techniques. Based on the child′s situation and needs, an intervention plan was made and carried out. After the intervention, the child′s resistance behavior greatly decreased, being able to get along well with other children and follow teachers′ instruction in games.