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Improving Electricity Network Efficiency and Customer Satisfaction in Generation Constrained Power System

机译:在发电受限的电力系统中提高电网效率和客户满意度

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Electricity situation in generation constrained power systems creates a high level of inconvenience for both utilities and their consumers. In this paper, we examined the causes of the constraints and the mitigating methods being adopted. The demand for electricity cannot be allowed to exceed the available generation as it could cause the entire power system to collapse. Therefore, electricity utilities are motivated to turn off some sections of the network in order to reduce the demand. Lack of funds makes it difficult for such systems to increase their generation capacity. A key concern is the hardship imposed by the sectional blackouts that they create. Smart metering promises an interim solution but the cost of deployment is of great concern. We proposed a smart metering simulation tool which is then used to model a micro-load manageable smart metering system based on certain priorities of loads. Algorithms and optimisation techniques are then developed to micro-load manage the demand so as to maintain some level of customer essential energy requirements. Simulation result shows that the proposed system is efficient in micro-load managing electricity demand. The proposed system has the potential to prevent total blackouts and associated inconveniences as well as improve the efficiency of such power systems.
机译:发电受限的电力系统中的用电状况给公用事业及其用户带来了极大的不便。在本文中,我们研究了约束的原因以及所采用的缓解方法。电力需求不能超过可用发电量,因为这可能导致整个电力系统崩溃。因此,电力公司被激励关闭网络的某些部分以减少需求。资金不足使此类系统难以增加其发电能力。一个关键问题是它们造成的部分停电所带来的困难。智能计量有望提供一种临时解决方案,但部署成本却是一个令人高度关注的问题。我们提出了一种智能计量仿真工具,该工具随后可用于根据负载的某些优先级对微负载可管理的智能计量系统进行建模。然后,开发算法和优化技术来微负载管理需求,以维持一定水平的客户基本能源需求。仿真结果表明,该系统在微负载管理电力需求方面是有效的。所提出的系统具有防止总停电和相关不便以及提高这种电力系统的效率的潜力。

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