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电网模型——通过快速电网计算加速能源转型.pdf

上传人: s****e 编号:944306 2025-10-19 35页 1.84MB

1、Accelerating the energy transition through fast grid calculations3 October 2025Alliander N.V.|powergridmodellists.lfenergy.orgThis session is being recorded.Peter SaleminkChair of Power Grid ModelProduct Owner at AllianderGuest lecturer at Eindhoven University of TechnologyThe ChallengeThe Challenge

2、The challengeEmpower the Energy TransitionWe should manage our grids in a smarter way:Grid congestion is real Traditional upgrades are too slow Smart solutions unlock flexibility Open source accelerates innovationPower Grid Model Distribution system calculation library Symmetric and asymmetric calcu

3、lation Three calculation types:Power flowState estimationShort circuit calculationTypical use-cases801020304Strategic&Investment planningGrid Connection PlanningDaily OperationsOperational PlanningWhy Power Grid Model(PGM)?Unique propositions of Power Grid Model9Well-definedSoftware APIHigh performa

4、nceNative parallelizationScalabilityCross-platform Community VeraGridDistribution system analysis use cases Grid planningLV gridMV grid 4 p.m.(near)real time sytem operationsGrid PlanningLow voltageMedium voltageHOLONETDELVILV:DelviDELVIConnectivityPGM power flowLoads profilesAssumptionsGrid dataAdo

5、ption ModelsBottlenecksLV:DelviAdoption ModelingA spread model is used to analyze the adoption of different technologies and predict the probability that a customer will adopt a technology in a given yearCustomer ModelingA trajectory is sampled x timeson how the different technologies might be adopt

6、edby the customer such anyuncertainty in the forecasts are taken into account.Power CalculationThe power flow calculation provides information about the distribution of currents in all cables and other connections of the network.WorkloadBased on the voltage and current data from the power flow calcu

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根据标记内容,全文主要介绍了Alliander N.V.的Power Grid Model(PGM)在加速能源转型中的作用。以下是关键点: 1. **PGM功能**:PGM是一个分布系统计算库,支持对称和不对称计算,包括功率流、状态估计和短路计算。 2. **应用场景**:用于战略规划、电网连接规划、日常运营和操作规划。 3. **性能优势**:高效实现于C++,支持原生共享内存多线程并行化,Python API稳定易用。 4. **案例研究**:在35,000个低压电网中,进行52亿次计算,预测未来瓶颈和缓解措施。 5. **MV Holonet**:用于中压电网分析,包括瓶颈分析、解决方案和投资策略。 6. **开源路线**:鼓励合作和贡献,提供使用库、反馈、改进核心和API、提供验证测试案例等方式。 7. **模型验证**:通过120多个测试案例与参考模型验证,性能基准测试显示PGM在性能上优于其他库。
Power Grid Model" "开源利器助力电网转型" "高效电网计算,加速能源变革"
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