scholarly journals Modified Dragonfly Optimisation for Distributed Energy Mix in Distribution Networks

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5690
Author(s):  
Pushpendra Singh ◽  
Nand Kishor Meena ◽  
Jin Yang ◽  
Shree Krishna Bishnoi ◽  
Eduardo Vega-Fuentes ◽  
...  
Keyword(s):  
Energy Storage ◽  
Optimization Model ◽  
Distribution Networks ◽  
Distributed Energy ◽  
Battery Energy Storage ◽  
Energy Mix ◽  
Dragonfly Algorithm ◽  
High Renewable Penetration ◽  
Battery Energy ◽  
The Impact

This article presents a two-stage optimization model aiming to determine optimal energy mix in distribution networks, i.e., battery energy storage, fuel cell, and wind turbines. It aims to alleviate the impact of high renewable penetration on the systems. To solve the proposed complex optimization model, a standard variant of the dragonfly algorithm (DA) has been improved and then applied to find the optimal mix of distributed energy resources. The suggested improvements are validated before their application. A heuristic approach has also been introduced to solve the second stage problem that determines the optimal power dispatch of battery energy storage as per the size suggested by the first stage. The proposed framework was implemented on a benchmark 33-bus and a practical Indian 108-bus distribution network over different test cases. The proposed model for energy mix and modified DA technique has significantly enhanced the operational performance of the network in terms of average annual energy loss reduction, node voltage profiles, and demand fluctuation caused by renewables.

scholarly journals Evaluation of a 1 MW, 250 kW-hr Battery Energy Storage System for Grid Services for the Island of Hawaii

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3367 ◽  
Author(s):  
Karl Stein ◽  
Moe Tun ◽  
Keith Musser ◽  
Richard Rocheleau
Keyword(s):  
Energy Storage ◽  
Data Collection ◽  
Storage System ◽  
Energy Storage System ◽  
Fast Response ◽  
Lessons Learned ◽  
Battery Energy Storage ◽  
Utility Company ◽  
Battery Energy ◽  
The Impact

Battery energy storage systems (BESSs) are being deployed on electrical grids in significant numbers to provide fast-response services. These systems are normally procured by the end user, such as a utility grid owner or independent power producer. This paper introduces a novel research project in which a research institution has purchased a 1 MW BESS and turned ownership over to a utility company under an agreement that allowed the institution to perform experimentation and data collection on the grid for a multi-year period. This arrangement, along with protocols governing experimentation, has created a unique research opportunity to actively and systematically test the impact of a BESS on a live island grid. The 2012 installation and commissioning of the BESS was facilitated by a partnership between the Hawaii Natural Energy Institute (HNEI) and the utility owner, the Hawaiian Electric and Light Company (HELCO). After the test period ended, HELCO continued to allow data collection (including health testing). In 2018, after 8500 equivalent cycles, the BESS continues to operate within specifications. HNEI continues to provide HELCO with expertise to aid with diagnostics as needed. Details about the BESS design, installation, experimental protocols, initial results, and lessons learned are presented in this paper.

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