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For realizing environment protection and carbon emission reduction strategy, the dominant position of renewable energy in the future power system has been clarified. Planning economic and efficient flexible resource system is the basis to balance multi fluctuations caused by large amount of renewable energy integration and ensure the safe operation of the whole power system. Considering that the flexibility adjustment demands of different links of the power system are not independent, but influence and restrict each other, this paper focuses on how to collaboratively allocate multi-flexible resources and achieve corresponding balancing interaction strategy. Firstly, a flexible resource system is composed through a fuzzy TODIM improved PROMETHEE-II model. Secondly, a multi-flexible resource collaborative allocation optimization model is proposed, which considers the Stackelberg game relationship of flexibility adjustment demand and ability in different links of the power system under varied fluctuation scenarios. The scientificity and effectiveness of the proposed model are verified by a practical case, and key incentive factors and specific development suggestions for improving flexible resources application efficiency are identified simultaneously. Since the collaborative planning of flexible resource system have not been deeply discussed by scholars yet, thus, this research contributes to the literature and expand the knowledge. • Design an effective flexible resources system through TODIM improved PROMETHEE-II model under multiple application scenarios. • Construct flexible resources optimal allocation scenarios according to the power generation and consumption characteristics of the new power system. • Construct a two-layer flexible resources equilibrium allocation model based on Stackelberg game theory. • Propose a multi-stage flexible resources equilibrium allocation model solution method. • Identify key factors influencing the allocation strategy of flexible resources in the new power system. [ABSTRACT FROM AUTHOR]

With the increasing demand for electricity, more and more fossil fuels are used to generate electricity which leads to energy shortage and environmental pollution. Therefore, using Renewable Energy Sources (RESs) and developing sustainable smart grid have become a common global priority: Since RESs, like solar and wind energy, are inherently unstable, hydrogen energy, as a completely clean new energy, has received widespread attention: I-Energy, which combines information and energy, is a new research direction in smart grid. Furthermore, the household electricity usage accounts for 41% of the total power consumption. Therefore, Household Intelligent Electricity System (HIES), combining hydrogen energy and i-Energy, becomes smart solutions. In this paper, we review the scientific literature for hydrogen energy and i-Energy on HIES, including recognition of electricity appliances, establishment of power consumption model, human activity analysis, smart interactive terminal, home energy management system, distributed power supply and district coordinated power utilization. Finally, we summarize the challenges and give the solutions concerning HIES, and this work can give a useful reference to new energy used model and environment protection. • A new application of Hydrogen Energy on Household Intelligent Electricity System (HIES). • A comprehensive overview of Hydrogen Energy and I-energy on HIES. • Combining internet with traditional electricity to analyses I-energy on HIES. • Summarizing the challenges and corresponding solutions concerning HIES. [ABSTRACT FROM AUTHOR]

Passive design strategies are important for achieving building sustainability given their proved influences over the building performance in both energy and indoor environmental aspects. The building layout, envelope thermophysics, building geometry and infiltration & air-tightness are major passive architectural parameters to improve the building energy efficiency. In this paper, a comprehensive literature review on simulation-based approaches to optimize passively designed buildings is conducted and corresponding research gaps are identified. Based on existing research methods, modelling experiments on a generic building are conducted to integrate robust variance-based sensitivity analyses with an early-stage design optimization process. Proposed mixed-mode ventilation and lighting dimming control algorithms are applied to the EnergyPlus model to simulate the total lighting and cooling energy demands by incorporating the related design criteria in a local green building assessment scheme. The non-dominated sorting genetic algorithm (NSGA-II) is then coupled with the modelling experiment to obtain the Pareto frontier as well as the final optimum solution. Different settings of NSGA-II are also investigated to improve the computational efficiency without jeopardizing the optimization productivity. Furthermore, the sensitivity of optimum design solutions to external environmental parameters in hot and humid areas are explored. Findings from this study will guide decision-makers through a holistic optimization process to fulfill energy-saving targets in a passively designed green building. [ABSTRACT FROM AUTHOR]

The term smart grid (SG) has been widely used in both the United States (U.S.) and Canada to represent multiple visions and configurations of electricity system change. In both countries policies, programs, and initiatives have emerged to promote technological and social changes associated with SG, and different patterns of SG implementation and governance are apparent at local, regional, and national levels. This paper reports on a comparative analysis of SG media content in nationally-circulating newspapers in the U.S. and Canada to explore patterns of SG conversations in the two countries. Media reporting about SG provides a valuable lens that reflects public discourse and also contributes to setting the public agenda by shaping public opinion and framing key issues. Despite similarities in terms of policy, program design, and SG deployment strategies, several prominent differences between the two countries emerge in public conversations. Firstly, Canadian SG newspaper content focuses more on implementation and describing people's experiences with smart meters, while the U.S. content focuses more on commercial opportunities with more reference to private sector actors and various technological components beyond smart meters. Secondly, although media coverage in both countries frequently highlights technological and economic benefits of SG, positive SG framing is more frequent in the U.S. newspapers than in the Canadian ones. Negative SG portrayals, including cultural, political and health and safety risks, are more frequently mentioned in the Canadian newspapers. These differing SG framings could be due to national level cultural differences. In the U.S, considered to be more of an individualistic society, there is more emphasis on business opportunities, being entrepreneurial, and more private sector involvement in the electricity sector. By contrast, in Canada, public authorities, more prominent in the electricity market than in the U.S., play a key role in smart grid deployment. Furthermore, in Canada, considered to have more social support structures for individuals and communities, there was more emphasis on the experiences of people. This suggests that cultural differences at the national level be a further contextual lens helpful to policy makers and technology proponents as they embark upon energy system change initiatives. [ABSTRACT FROM AUTHOR]

For the isolated island micro grid, a safe and reliable energy supply system is indispensable. Generally speaking, the power generation modules of an small and medium-sized isolated island energy system with off-grid power supply mode mainly include diesel generator(DIG) and distributed power supply. In order to smooth the power output fluctuation of wind and solar, coordinate the output of multiple energy generation technologies, and increase the penetration rate of distributed energy, it is necessary to develop a flexible and reliable energy system, and an efficient and smart scheduling strategy. In this paper, the power-to-gas (P2G) technology is introduced to construct a multi-energy complementary integrated energy system with deep coupling of power-gas network. Four possible game planning models are proposed by using game theory analysis method, and the energy scheduling strategies under each game mode are obtained by particle swarm optimization(PSO). By comparing the scheduling strategies under the four game modes, it can be found that the synergistic response of hydrogen and methane in the alliance cooperative game mode has absolute advantages in reducing the curtailment rate of wind and solar energy, balancing the income of each participant, improving the total income of the system, and saving energy and environmental protection. • A multi-energy complementary electric-gas coupled model containing five kinds of generators is established. • Four possible game modes are proposed. • Optimization of electrical load and gas load scheduling strategies for an isolated island microgrid. • Uninterrupted electricity and gas supply assured from the analysis. • The penetration rate of distributed renewable energy are improved and the share of diesel generator power is reduced. [ABSTRACT FROM AUTHOR]