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首页> 外文期刊>Renewable Power Generation, IET >Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach
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Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach

机译：考虑配电网重构的分布式能源存在下的风险规避能源管理策略：信息缺口决策理论方法

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摘要

Distributed energy resources (DERs) and distribution network reconfiguration have considerable effects on both the economic and operational performance of distribution networks. However, the uncertain nature of renewable energy sources (RESs), wind energy, for instance, can bring about serious challenges to the distribution system operators and distribution companies (DisCos). Therefore, a suitable methodology is a matter of the utmost importance to handle the uncertainty of RESs. In addition, DisCos can benefit from the utilisation of energy storage technologies to increase the penetration of RESs into the system. In this regard, this study proposes a risk-averse energy management strategy (RA-EMS) in the presence of DERs, while the impact of uncertainties of RESs on the optimal configuration of the network is investigated. The uncertainty of RESs is modelled through the information gap decision theory, which has significant advantages such as low computational burden, no need for probability density function, and exact results compared to other methodologies for uncertainty handling. The proposed RA-EMS model is implemented on the IEEE 33-bus distribution system, and its superiority over the scenario-based stochastic programming is demonstrated. The robust configuration of the system against RESs' uncertainty is obtained for different levels of uncertainty radius.
机译：分布式能源（DER）和配电网络的重新配置对配电网络的经济和运营性能都有相当大的影响。但是，例如可再生能源（RESs）的不确定性，例如风能，可能给配电系统运营商和配电公司（DisCos）带来严峻挑战。因此，合适的方法对于处理RES的不确定性至关重要。此外，DisCos可以受益于储能技术的利用，以提高RES在系统中的渗透率。在这方面，本研究提出了在存在DERs的情况下的风险规避能源管理策略（RA-EMS），同时研究了RES不确定性对网络最佳配置的影响。 RES的不确定性是通过信息缺口决策理论建模的，与其他不确定性处理方法相比，它具有显着的优势，例如计算量小，不需要概率密度函数以及精确的结果。所提出的RA-EMS模型在IEEE 33总线配电系统上实现，并证明了其在基于情景的随机编程中的优越性。针对不同水平的不确定半径，获得了针对RES不确定性的系统鲁棒配置。

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