Optimal Placement and Sizing of Battery Energy Storage Systems for Improvement of System Frequency Stability Article Swipe
Amrit Parajuli
,
Samundra Gurung
,
Kamal Chapagain
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electricity5030033
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/electricity5030033
Modern power systems are growing in complexity due to the installation of large generators, long transmission lines, the addition of inertialess renewable energy resources (RESs) with zero inertia, etc., which can all severely degrade the system frequency stability. This can lead to under-/over-frequency load shedding, damage to turbine blades, and affect frequency-sensitive loads. In this study, we propose a methodology to improve the two critical frequency stability indices, i.e., the frequency nadir and the rate of change of frequency (RoCoF), by formulating an optimization problem. The size and placement location of battery energy storage systems (BESSs) are considered to be the constraints for the proposed optimization problem. Thereafter, the optimization problem is solved using the three metaheuristic optimization algorithms: the particle swarm optimization, firefly, and bat algorithm. The best performing algorithm is then selected to find the optimal sizing and placement location of the BESSs. The analyses are all performed on the IEEE 9-bus and IEEE 39-bus test systems. Several scenarios which consider multiple generator outages, increased/decreased loading conditions, and the addition of RESs are also considered for both test systems in this study. The obtained results show that under all scenarios, the proposed method can enhance system frequency compared to the existing method and without BESSs. The proposed method can be easily upscaled for a larger electrical network for obtaining the optimized BESS size and location for the improvement of the system frequency stability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electricity5030033
- OA Status
- gold
- Cited By
- 5
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402515450
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4402515450Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electricity5030033Digital Object Identifier
- Title
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Optimal Placement and Sizing of Battery Energy Storage Systems for Improvement of System Frequency StabilityWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-09-13Full publication date if available
- Authors
-
Amrit Parajuli, Samundra Gurung, Kamal ChapagainList of authors in order
- Landing page
-
https://doi.org/10.3390/electricity5030033Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/electricity5030033Direct OA link when available
- Concepts
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Sizing, Energy storage, Battery (electricity), Stability (learning theory), Reliability engineering, Battery storage, Computer science, Automotive engineering, Environmental science, Engineering, Chemistry, Power (physics), Physics, Organic chemistry, Quantum mechanics, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 5Per-year citation counts (last 5 years)
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 49, 72, 87, 124, 139, 154, 169, 204, 225 |
| abstract_inverted_index.are | 3, 96, 147, 174 |
| abstract_inverted_index.bat | 125 |
| abstract_inverted_index.can | 30, 39, 195, 210 |
| abstract_inverted_index.due | 7 |
| abstract_inverted_index.for | 102, 177, 214, 219, 227 |
| abstract_inverted_index.the | 9, 17, 34, 62, 69, 73, 100, 103, 108, 114, 119, 136, 143, 151, 170, 192, 201, 221, 228, 231 |
| abstract_inverted_index.two | 63 |
| abstract_inverted_index.BESS | 223 |
| abstract_inverted_index.IEEE | 152, 155 |
| abstract_inverted_index.RESs | 173 |
| abstract_inverted_index.This | 38 |
| abstract_inverted_index.also | 175 |
| abstract_inverted_index.best | 128 |
| abstract_inverted_index.both | 178 |
| abstract_inverted_index.find | 135 |
| abstract_inverted_index.lead | 40 |
| abstract_inverted_index.load | 43 |
| abstract_inverted_index.long | 14 |
| abstract_inverted_index.rate | 74 |
| abstract_inverted_index.show | 187 |
| abstract_inverted_index.size | 86, 224 |
| abstract_inverted_index.test | 157, 179 |
| abstract_inverted_index.that | 188 |
| abstract_inverted_index.then | 132 |
| abstract_inverted_index.this | 54, 182 |
| abstract_inverted_index.with | 25 |
| abstract_inverted_index.zero | 26 |
| abstract_inverted_index.9-bus | 153 |
| abstract_inverted_index.etc., | 28 |
| abstract_inverted_index.i.e., | 68 |
| abstract_inverted_index.large | 12 |
| abstract_inverted_index.nadir | 71 |
| abstract_inverted_index.power | 1 |
| abstract_inverted_index.swarm | 121 |
| abstract_inverted_index.three | 115 |
| abstract_inverted_index.under | 189 |
| abstract_inverted_index.using | 113 |
| abstract_inverted_index.which | 29, 161 |
| abstract_inverted_index.(RESs) | 24 |
| abstract_inverted_index.39-bus | 156 |
| abstract_inverted_index.BESSs. | 144, 206 |
| abstract_inverted_index.Modern | 0 |
| abstract_inverted_index.affect | 50 |
| abstract_inverted_index.change | 76 |
| abstract_inverted_index.damage | 45 |
| abstract_inverted_index.easily | 212 |
| abstract_inverted_index.energy | 22, 92 |
| abstract_inverted_index.larger | 216 |
| abstract_inverted_index.lines, | 16 |
| abstract_inverted_index.loads. | 52 |
| abstract_inverted_index.method | 194, 203, 209 |
| abstract_inverted_index.sizing | 138 |
| abstract_inverted_index.solved | 112 |
| abstract_inverted_index.study, | 55 |
| abstract_inverted_index.study. | 183 |
| abstract_inverted_index.system | 35, 197, 232 |
| abstract_inverted_index.(BESSs) | 95 |
| abstract_inverted_index.Several | 159 |
| abstract_inverted_index.battery | 91 |
| abstract_inverted_index.blades, | 48 |
| abstract_inverted_index.degrade | 33 |
| abstract_inverted_index.enhance | 196 |
| abstract_inverted_index.growing | 4 |
| abstract_inverted_index.improve | 61 |
| abstract_inverted_index.loading | 167 |
| abstract_inverted_index.network | 218 |
| abstract_inverted_index.optimal | 137 |
| abstract_inverted_index.problem | 110 |
| abstract_inverted_index.propose | 57 |
| abstract_inverted_index.results | 186 |
| abstract_inverted_index.storage | 93 |
| abstract_inverted_index.systems | 2, 94, 180 |
| abstract_inverted_index.turbine | 47 |
| abstract_inverted_index.without | 205 |
| abstract_inverted_index.(RoCoF), | 79 |
| abstract_inverted_index.addition | 18, 171 |
| abstract_inverted_index.analyses | 146 |
| abstract_inverted_index.compared | 199 |
| abstract_inverted_index.consider | 162 |
| abstract_inverted_index.critical | 64 |
| abstract_inverted_index.existing | 202 |
| abstract_inverted_index.firefly, | 123 |
| abstract_inverted_index.indices, | 67 |
| abstract_inverted_index.inertia, | 27 |
| abstract_inverted_index.location | 89, 141, 226 |
| abstract_inverted_index.multiple | 163 |
| abstract_inverted_index.obtained | 185 |
| abstract_inverted_index.outages, | 165 |
| abstract_inverted_index.particle | 120 |
| abstract_inverted_index.problem. | 84, 106 |
| abstract_inverted_index.proposed | 104, 193, 208 |
| abstract_inverted_index.selected | 133 |
| abstract_inverted_index.severely | 32 |
| abstract_inverted_index.systems. | 158 |
| abstract_inverted_index.upscaled | 213 |
| abstract_inverted_index.algorithm | 130 |
| abstract_inverted_index.frequency | 36, 65, 70, 78, 198, 233 |
| abstract_inverted_index.generator | 164 |
| abstract_inverted_index.obtaining | 220 |
| abstract_inverted_index.optimized | 222 |
| abstract_inverted_index.performed | 149 |
| abstract_inverted_index.placement | 88, 140 |
| abstract_inverted_index.renewable | 21 |
| abstract_inverted_index.resources | 23 |
| abstract_inverted_index.scenarios | 160 |
| abstract_inverted_index.shedding, | 44 |
| abstract_inverted_index.stability | 66 |
| abstract_inverted_index.algorithm. | 126 |
| abstract_inverted_index.complexity | 6 |
| abstract_inverted_index.considered | 97, 176 |
| abstract_inverted_index.electrical | 217 |
| abstract_inverted_index.performing | 129 |
| abstract_inverted_index.scenarios, | 191 |
| abstract_inverted_index.stability. | 37, 234 |
| abstract_inverted_index.Thereafter, | 107 |
| abstract_inverted_index.algorithms: | 118 |
| abstract_inverted_index.conditions, | 168 |
| abstract_inverted_index.constraints | 101 |
| abstract_inverted_index.formulating | 81 |
| abstract_inverted_index.generators, | 13 |
| abstract_inverted_index.improvement | 229 |
| abstract_inverted_index.inertialess | 20 |
| abstract_inverted_index.methodology | 59 |
| abstract_inverted_index.installation | 10 |
| abstract_inverted_index.optimization | 83, 105, 109, 117 |
| abstract_inverted_index.transmission | 15 |
| abstract_inverted_index.metaheuristic | 116 |
| abstract_inverted_index.optimization, | 122 |
| abstract_inverted_index.frequency-sensitive | 51 |
| abstract_inverted_index.increased/decreased | 166 |
| abstract_inverted_index.under-/over-frequency | 42 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.88689434 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |