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Cyber defense analysis of smart grid including renewable energy resources based on coalitional game theory

机译:智能电网网络防御分析,包括基于联盟博弈论的可再生能源

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In order to avoid the environmental emission of fossil fuels, renewable energy resources expansion trend is undeniable. This paper analyzes the possibility of cooperation between neighboring independent microgids in a smart grid with renewable resources considering the security assets and vulnerabilities. The ultimate goal is to decrease the overall security risks on the smart grid. Modeling of microgrids cooperation is formulated via a coalition game definition considering the permissible amount of their vulnerabilities. Load shedding minimization can be obtained during cyber-attack occurrence for each member of coalition microgrids. This paper presents a comprehensive algorithm for optimal coalition of neighboring microgrids based on a utility function calculation which has three major components: Budget for Attack (BA), Budget for Defense (BD) and microgrid relationship effectiveness, to contribute more understanding, microgrid relationship effectiveness formulation is developed by the introduction of friction and influence matrices. Proportional Fairness (PF) index is employed to illustrate the improvement of utility function in case of optimal coalition in comparison with non-cooperative state. Microgrids coalition optimal choice based on suggested algorithm is validated by probability attack and loss of load probability (LOLP) simulation for each microgrid before and after the coalition form.
机译:为了避免化石燃料的环境排放,可再生能源扩张趋势是不可否认的。本文分析了智能电网在智能电网中与可再生资源的相邻独立微生物之间合作的可能性,考虑安全资产和漏洞。最终目标是减少智能电网上的整体安全风险。微电网建模通过联盟游戏定义制定了考虑其漏洞允许的漏洞。在联盟微普林的每个成员的网络攻击期间,可以获得负载脱落最小化。本文提出了一种综合算法,以实现邻近微电网的最优联盟的算法,基于公用事业函数计算,其中有三个主要组成部分:攻击预算(BA),防御预算(BD)和微电网关系效率,促进了更多的理解,微电网关系效率通过引入摩擦和影响基质来开发配方。采用比例公平(PF)指数来说明与非合作状态相比最佳联盟的效用功能的改善。基于建议算法的微电网基于建议算法的最佳选择是通过联盟前后每次微电网的概率攻击和负载概率(LOLP)模拟的概率攻击和丧失。

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