Open AccessOperation window constrained strategic energy management of microgrid with electric vehicle and distributed resources
Author(s) -
Panwar Lokesh Kumar,
Konda Srikanth Reddy,
Verma Ashu,
Panigrahi Bijaya Ketan,
Kumar Rajesh
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0654
Subject(s) - microgrid , computer science , mathematical optimization , scheduling (production processes) , distributed generation , fair share scheduling , distributed computing , dynamic priority scheduling , round robin scheduling , grid , renewable energy , engineering , computer network , mathematics , quality of service , control (management) , geometry , artificial intelligence , electrical engineering
In this study, an operation window constrained strategic energy management (OWCSEM) for microgrid operational scheduling is examined. The scheduling problem is formulated as cost minimisation/benefit maximisation of distribution resources. The scheduling operation of distributed resources is evaluated for various perspectives such as customer driven, micro grid operator (MGO) driven and MGO driven with utility constraints. The MGO driven scheduling operation considers the distribution network loss minimisation in addition to economic benefits of distributed resources. The loss estimation of distributed network/microgrid is performed using forward‐backward sweep algorithm, considering the ill‐natured radial network. Thereafter, the optimisation is performed using modified gradient‐based search method, considering the linear nature of the problem. The simulation results are presented and discussed for the three scheduling scenarios proposed under operation window constraints. The customer driven scheduling of distributed resources resulted in highest profit among all the scheduling alternatives. On the other hand, the MGO driven scheduling horizon resulted in lower line loss cost component at a compromise of distribution resource benefit. The utility constrained MGO driven scheduling objective attained a compromise solution in terms of loss component and customer benefit. Thus, it is identified as best practice for overall welfare maximisation of microgrid/distribution network.