Abstract
With the rapid development of smart community technologies, how to improve user comfort levels and make full use of renewable energy have become urgent problems. This paper proposes an optimization algorithm to minimize daily energy costs while considering user comfort level and renewable energy consumption rate. In this paper, the structure of a typical smart community and the output models of all components installed in the community are introduced first. Then, the characteristics of different types of loads are analyzed, followed by defining the coefficients of user comfort level. In this step, the influence of load-scheduling on user comfort level and the renewable energy consumption rate is emphasized. Finally, based on the time-of-use gas price, this paper optimizes the daily energy costs for an off-grid community under the constraints of the comfort level and renewable energy consumption rate. Results show that scheduling transferable loads and interruptible loads are not independent to each other, and improving user comfort level requires spending more money as compensation. Moreover, fully consuming renewable energy has side effects on energy bills and battery lifetime. It is more conducive to system economy and stability if the maximum renewable energy consumption rate is restricted to 95%.
Highlights
A smart community is a standard architecture group, which is planned and constructed by governments
Since important loads have no effects on user comfort levels, this paper focuses on modelling the influences of transferable loads and interruptible loads on user comfort levels
To further improve the renewable energy consumption rate and save energy costs in smart communities, this paper proposes a novel load-scheduling method for optimizing a smart community’s daily energy costs while taking user comfort level and the renewable energy consumption rate into consideration
Summary
A smart community is a standard architecture group, which is planned and constructed by governments. At present, the operation and management of smart communities still lacks perfect user comfort evaluation methods and research on renewable energy consumption, which will seriously hinder the further development of smart communities [11]. It is of great significance to study further the influence of user comfort level, renewable energy consumption, and other factors on the optimal operation of the smart community. In the study of controllable load optimization in smart communities, user comfort level is an important evaluation index and an essential constraint condition. The controllable loads in smart communities were divided into transferable loads and interruptible loads, and the coefficients of user comfort levels relating to transferable and interruptible loads were proposed according to their respective characteristics, to optimize the load-scheduling of the smart community. System optimization, optimization, the the optimal optimal operation operation strategy strategy of of the the smart smart community community was was proposed proposed based based on on system time-of-use time-of-use gas gas price, price, and and subsequently subsequently verified by the case study
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