Abstract
This paper presents an advanced market bidding and operation strategy for the joint participation of a solar plant with storage in Energy and secondary reserve markets (SRMs). A linear optimization is applied in order to calculate the optimal day-ahead and intraday market bids through a model predictive control (MPC) approach, considering solar generation forecast, hourly market prices as well as battery acquisition, operating and degradation costs. Moreover, several rule-based strategies are selected to participate in secondary reserve markets, focused on more profitable and reliable hours through the estimation of market prices and the expected operation of the battery. Finally, the real-time operation tackles all the uncertain parameters, such as the reserve requirements and solar forecast errors, with the objective of achieving an optimal tradeoff between market profits, battery costs and market technical fulfillments. Several market strategies have been compared in techno-economic terms with annual real market data. Regarding the most advanced strategy, market benefits are improved 6.42% from base case and non-fulfillment level of SRM is reduced up to 1.49%.
| Original language | English |
|---|---|
| Article number | 8458439 |
| Pages (from-to) | 5115-5124 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 34 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 2019 |
| Externally published | Yes |
Keywords
- Ancillary services
- day-ahead market
- energy storage system
- intraday markets
- optimization method
- photovoltaic plants
- rule-based strategy
- secondary reserve market
