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首页> 外文会议>Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA), 2008 >Reciprocally altruistic agents for the mitigation of cascading failures in electrical power networks
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Reciprocally altruistic agents for the mitigation of cascading failures in electrical power networks

机译：互利互惠的代理，可缓解电力网络中的级联故障

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Cascading failures in electrical power networks often come with disastrous consequences. A variety of schemes for mitigating cascading failures exist, but the vast majority depend upon centralized control architectures. Centralized designs are frequently more susceptible to communications latency and bandwidth limitations and can be vulnerable to random failures and directed attacks. This paper proposes a decentralized approach. We place control agents at each substation in a power network, each of which uses decentralized model predictive control to select emergency control actions. When making decisions the control agents consider not only their own goals, but also the goals of nearby agents. Thus the agents act with reciprocal altruism. Results from simulations of extreme cascading failures within the IEEE 300 bus test network indicate that this approach can dramatically reduce the average size and social cost of large cascading failures. Simulations also show that the bandwidth required for message passing is well within the limits of current technology.
机译：电力网络中的级联故障通常会带来灾难性的后果。存在多种用于减轻级联故障的方案，但是绝大多数方案取决于集中式控制体系结构。集中式设计通常更容易受到通信延迟和带宽限制的影响，并且容易受到随机故障和定向攻击的影响。本文提出了一种分散的方法。我们将控制代理放置在电网中的每个变电站中，每个控制代理都使用分散模型预测控制来选择应急控制措施。在做出决策时，控制人员不仅要考虑自己的目标，还要考虑附近人员的目标。因此，行动者的行为是相互的利他行为。 IEEE 300总线测试网络中极端连锁故障的仿真结果表明，这种方法可以显着降低大型连锁故障的平均规模和社会成本。仿真还表明，消息传递所需的带宽完全在当前技术的限制之内。

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