Abstract
The incorporation of renewable-based distributed generators (DGs) and energy storage systems (ESS) is significantly altering power systems, particularly with the emergence of prosumers-entities that both consume and produce electricity. Despite numerous studies addressing optimal ESS scheduling and system modeling, there is a lack of research examining the direct effects of prosumer-centric, profit-maximizing ('greedy') ESS operation on the stability of power systems. This paper presents a two-step framework: (1) a model based on echo-state networks (ESN) for predicting system marginal prices (SMP), and (2) the application of dynamic programming to establish optimal energy storage system charge/discharge schedules aimed at maximizing consumer profits. The methodology is validated through EMTP-RV simulations on the IEEE 14-bus system, where the transient response of the grid to different ESS operational strategies is quantitatively assessed. The findings indicate that although greedy ESS operation mitigates overshoot in dq axis voltage and current, it may prolong settling time and potentially induce oscillations depending on the discharge strategies employed. This study emphasizes the essential requirement for achieving a balance between economic optimization and grid stability in future prosumer-driven power systems.
| Original language | English |
|---|---|
| Title of host publication | ICEMS 2025 - 28th International Conference on Electrical Machines and Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3325-3329 |
| Number of pages | 5 |
| ISBN (Electronic) | 9788986510232 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 28th International Conference on Electrical Machines and Systems, ICEMS 2025 - Busan, Korea, Republic of Duration: 16 Nov 2025 → 19 Nov 2025 |
Publication series
| Name | ICEMS 2025 - 28th International Conference on Electrical Machines and Systems |
|---|
Conference
| Conference | 28th International Conference on Electrical Machines and Systems, ICEMS 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 16/11/25 → 19/11/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Dynamic programming
- Energy storage system
- Microgrid
- Power system Fault
- System marginal price
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