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Technical Validation of the RLS Smart Grid Approach to Increase Power Grid Capacity without Physical Grid Expansion

机译:RLS智能电网方法的技术验证提高电网容量而没有物理网格扩展

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The electrification of the global energy system and the shift towards distributed power production from sustainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid reinforcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are provided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-l security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter is tested by a simulation run on a scenario of network branch with provoked capacity bottlenecks. The method handles all provoked critical network capacity situations as expected.
机译:全球能量系统的电气化和从可持续源的分布式电力生产的转变触发了在高生产或消费量时增加的网络容量需求。现有的能源管理解决方案可以帮助缓解大规模物理网格强化的高成本,但经常干扰客户流程或限制对能源市场的免费访问。在先前的纸质中,我们提出了RLS区域负荷整形方法作为新的商业模型和中电网负荷管理解决方案,以解决这种困境:提供所有利益相关者的基于市场的激励,以允许柔性负载是非关键的在客户流程中分配给传统上保留的未使用的网格容量,保留供应NL安全性。我们提供了对方法的技术方面的验证,评估了行业客户的一天负荷预测方法和负载优化启发式。后者通过在网络分支的场景上进行模拟进行测试,该仿真能力瓶颈。该方法按预期处理所有激起的关键网络容量情况。

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