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Planning Flexibility With Non-Deferrable Loads Considering Distribution Grid Limitations
- Source :
- IEEE Access, Vol 9, Pp 25140-25147 (2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Non-deferrable loads equipped with distributed energy resources, such as solar photovoltaic generation and energy storage, can offer a wide range of benefits to the power system, including load leveling, hedging against forecast uncertainty, and ancillary services. This paper presents a techno-economic approach to optimally equip a flexible energy resource, namely a battery energy storage system (BESS), with non-deferrable loads for capacity enhancement of a distribution grid. The proposed approach is generic in applicability, and includes two different optimization mathematical models. The first model quantifies the needed flexibility with non-deferrable loads, based on a consideration of distribution grid limitations, while the second model determines the optimal flexibility amount associated with non-deferrable loads considering investor profitability. Thereafter, a distribution operations model is developed to evaluate the impact of non-deferrable loads, equipped with an optimal size of BESS, on the distribution system loading capacity. An example of non-deferrable loads considered in this paper is that of the rapid charging loads of plug-in electric vehicles (PEVs) that cannot be controlled or shifted due to the short stay of PEVs at a charging facility. Hence, a probabilistic model for PEV rapid charging loads is first developed. Case studies and simulation findings, considering a 32-bus distribution system, demonstrate that the proposed approach helps reduces the impact of non-deferrable loads on a distribution system and enhances the system power margin, which defers the need for system upgrades.
- Subjects :
- General Computer Science
Computer science
020209 energy
Energy resources
02 engineering and technology
Energy storage
Electric power system
020401 chemical engineering
0202 electrical engineering, electronic engineering, information engineering
Range (statistics)
General Materials Science
0204 chemical engineering
Flexibility (engineering)
business.industry
Photovoltaic system
General Engineering
Reliability engineering
flexibility
Distributed generation
lcsh:Electrical engineering. Electronics. Nuclear engineering
planning
business
optimization
lcsh:TK1-9971
Battery energy storage system
mathematical model
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....96d3a074e4ad35349499822d7993190a