论文标题
社区弹性优化在动力工程中受到网络物理 - 社会系统中功率流限制的约束
Community Resilience Optimization Subject to Power Flow Constraints in Cyber-Physical-Social Systems in Power Engineering
论文作者
论文摘要
本文开发了一种社区弹性优化方法，但要在动力工程中的网络物理 - 社会系统中受功率流限制，该方法使用基于多机构的算法解决。使物理方面的发电与消费者以及社交方面的关键负载之间的联系的工具是电源流算法。具体而言，情感，同理心，合作和消费者的身体健康水平，生产商是在拟议的社区弹性优化方法中建模的，同时考虑了电力系统的限制及其对关键负荷的影响，包括医院，庇护所和加油站，等等。优化解释了这样一个事实，即社会，生活水平和社会福祉的满意度取决于包括电力在内的能源供应。显然，由于减轻负荷而导致的电能缺乏对精神和心理生活质量的影响，这反过来影响了社区的韧性。开发的约束社区弹性优化方法适用于两个案例研究，包括两个面积的6-Buses系统和修改的IEEE RTS 24-BUS系统。仿真结果表明，情绪，风险感知和社交媒体平台效应因素的初始值的下降需要增加负载降低，这又导致社区韧性的下降。相比之下，合作，同理心，身体健康，微电网和分布式能源资源的能力的初始价值的增加导致负载脱落的减少，从而促进了社区弹性的增强。
This paper develops a community resilience optimization method subject to power flow constraints in the Cyber-Physical-Social Systems in Power Engineering, which is solved using a multi-agent-based algorithm. The tool that makes the nexus between electricity generation on the physical side and the consumers and the critical loads on the social side is the power flow algorithm. Specifically, the levels of emotion, empathy, cooperation, and the physical health of the consumers, prosumers are modeled in the proposed community resilience optimization approach while accounting for the electric power system constraints and their impact on the critical loads, which include hospitals, shelters, and gas stations, to name a few. The optimization accounts for the fact that the level of satisfaction of the society, the living standards, and the social well-being are depended on the supply of energy, including electricity. Evidently, the lack of electric energy resulting from load shedding has an impact on both the mental and the psychical quality of life, which in turn affects the community resilience. The developed constrained community resilience optimization method is applied to two case studies, including a two-area 6-buses system and a modified IEEE RTS 24-bus system. Simulation results reveal that a decrease in the initial values of the emotion, the risk perception, and the social media platform effect factor entails an increase in load shedding, which in turn results in a decrease in community resilience. In contrast, an increase in the initial values of cooperation, empathy, physical health, the capacity of microgrids and distributed energy resources results in a decrease in the load shedding, which in turn induces an enhancement of the community resilience.
