DER与分布式最优潮流协调的实际考虑
Practical Considerations of DER Coordination with Distributed Optimal Power Flow
摘要：
协调的产消者拥有的，背后的米分布式能源（DER）可以实现使用多周期，分布式最优潮流（DOPF），它满足网络约束，并保护隐私的产消者。为了以分布式方式解决该问题，使用交替方向乘数法（ADMM）对其进行分解和求解，这可能需要产消者和中央实体之间的多次迭代（即，聚合器）。此外，计算负担之间具有不同的处理能力的代理共享。因此，计算约束和通信要求可能使DOPF不可行或不切实际。在本文中，DOPF的一部分（一些Prosumer子问题）在基于Raspberry Pi的硬件原型上执行，该原型模拟了低处理能力的边缘计算设备。四个重要的方面进行了分析，使用不同的复杂性的测试用例。第一个是在边缘计算设备中执行子问题的计算成本。二是拥塞网络上的算法运算，影响DOPF解的收敛速度。第三，精度的计算解决方案，包括解决方案的质量和迭代次数之间的权衡，检查。第四，跨不同的通信网络的实施的通信要求进行了调查。上述指标在涉及26总线和51总线网络的四种情况下进行了分析。
英文摘要：
The coordination of prosumer-owned, behind-the-meter distributed energy resources (DER) can be achieved using a multiperiod, distributed optimal power flow (DOPF), which satisfies network constraints and preserves the privacy of prosumers. To solve the problem in a distributed fashion, it is decomposed and solved using the alternating direction method of multipliers (ADMM), which may require many iterations between prosumers and the central entity (i.e., an aggregator). Furthermore, the computational burden is shared among the agents with different processing capacities. Therefore, computational constraints and communication requirements may make the DOPF infeasible or impractical. In this paper, part of the DOPF (some of the prosumer subproblems) is executed on a Raspberry Pi-based hardware prototype, which emulates a low processing power, edge computing device. Four important aspects are analyzed using test cases of different complexities. The first is the computation cost of executing the subproblems in the edge computing device. The second is the algorithm operation on congested electrical networks, which impacts the convergence speed of DOPF solutions. Third, the precision of the computed solution, including the trade-off between solution quality and the number of iterations, is examined. Fourth, the communication requirements for implementation across different communication networks are investigated. The above metrics are analyzed in four scenarios involving 26-bus and 51-bus networks.
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