Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price
As the distributed generators (DGs) are connected to active distribution network (ADN), it strengthens the communication interest between the customs and DGs and can facilitate energy integration. This article proposes hybrid pricing for DG configuration by taking advantage of fixed pricing and dyna...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2023-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2023/7471214 |
| _version_ | 1826992645467013120 |
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| author | Hongbo Liu Shencheng Liu Xueyang Gai Yongfa Liu Yutong Yan Li Sun |
| author_facet | Hongbo Liu Shencheng Liu Xueyang Gai Yongfa Liu Yutong Yan Li Sun |
| author_sort | Hongbo Liu |
| collection | DOAJ |
| description | As the distributed generators (DGs) are connected to active distribution network (ADN), it strengthens the communication interest between the customs and DGs and can facilitate energy integration. This article proposes hybrid pricing for DG configuration by taking advantage of fixed pricing and dynamic pricing. The time sequence scenario of wind-photovoltaic-load power can be got by k-means, which can balance the calculation burden with multiple scenarios. The planning model is built as the optimal objective for minimal investment in operation and maintenance of DGs, reduction of network loss, and decrease of voltage deviation. An improved simulated annealing particle swarm optimization algorithm is also proposed by refining the initialized population based on the niche fitness, introducing inertia weight with chaotic disturbance and accelerating local search with learning factor of dynamic parameter. The effectiveness and rationality of the proposed methodology are verified by simulation in the IEEE 69-bus system. |
| first_indexed | 2024-04-09T20:22:02Z |
| format | Article |
| id | doaj.art-5c9704d643ca44d4b8b3a80004767c3c |
| institution | Directory Open Access Journal |
| issn | 1687-5877 |
| language | English |
| last_indexed | 2025-02-18T08:52:45Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj.art-5c9704d643ca44d4b8b3a80004767c3c2024-11-02T23:56:56ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58772023-01-01202310.1155/2023/7471214Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU PriceHongbo Liu0Shencheng Liu1Xueyang Gai2Yongfa Liu3Yutong Yan4Li Sun5State Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyState Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyState Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyState Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyState Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyState Key Laboratory of Modern Power System Simulation and Control & Renewable Energy TechnologyAs the distributed generators (DGs) are connected to active distribution network (ADN), it strengthens the communication interest between the customs and DGs and can facilitate energy integration. This article proposes hybrid pricing for DG configuration by taking advantage of fixed pricing and dynamic pricing. The time sequence scenario of wind-photovoltaic-load power can be got by k-means, which can balance the calculation burden with multiple scenarios. The planning model is built as the optimal objective for minimal investment in operation and maintenance of DGs, reduction of network loss, and decrease of voltage deviation. An improved simulated annealing particle swarm optimization algorithm is also proposed by refining the initialized population based on the niche fitness, introducing inertia weight with chaotic disturbance and accelerating local search with learning factor of dynamic parameter. The effectiveness and rationality of the proposed methodology are verified by simulation in the IEEE 69-bus system.http://dx.doi.org/10.1155/2023/7471214 |
| spellingShingle | Hongbo Liu Shencheng Liu Xueyang Gai Yongfa Liu Yutong Yan Li Sun Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price International Journal of Antennas and Propagation |
| title | Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price |
| title_full | Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price |
| title_fullStr | Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price |
| title_full_unstemmed | Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price |
| title_short | Optimal Allocation of Distributed Generators in Active Distribution Network considering TOU Price |
| title_sort | optimal allocation of distributed generators in active distribution network considering tou price |
| url | http://dx.doi.org/10.1155/2023/7471214 |
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