Abstract:Abstract-Wind power generation is to play an important role in supplying electric power demand, and will certainly impact the design of future energy and reserve markets. Operators of wind power plants will consequently develop adequate offering strategies, accounting for the market rules and the operational capabilities of the turbines, e.g., to participate in primary reserve markets. We consider two different offering strategies for joint participation of wind power in energy and primary reserve markets, bas… Show more
“…Predictive densities produced by the model are optimized with respect to the expectancy E, so the mean of the predictive density for each horizon constitutes the deterministic forecast. The forecast flexibility for the dayahead horizon is chosen in (9) as the minimum of the deterministic aggregated forecast on the day to predict.…”
“…Bidding strategies for participation of wind farms in an AS market have been studied recently. The reserve strategies proposed in [9] keep a share of the active power forecast to the FCR market. The optimal bid of wind power is analytically derived as a quantile of the production forecast for the day ahead, considering high penalties in the balancing market if failing to provide the FCR service.…”
Abstract-This paper presents the initial findings on a new forecast approach for ancillary services delivered by aggregated renewable power plants. The increasing penetration of distributed variable generators challenges grid reliability. Wind and photovoltaic power plants are technically able to provide ancillary services, but their stochastic behavior currently impedes their integration into reserve mechanisms. A methodology is developed to forecast the flexibility that a windphotovoltaic aggregate can provide. A bivariate Kernel Density Estimator forecasts the probability to provide reserve. The methodology is tested on a case study where volumes of automatic Frequency Restoration Reserve (aFRR) are forecasted on a day-ahead horizon. It is found that the windphotovoltaic aggregate can dedicate a limited share of its forecast production to aFRR. The frequency of insufficient reserve capacity is assessed, by comparing the capacities offered with the measured production.
“…Predictive densities produced by the model are optimized with respect to the expectancy E, so the mean of the predictive density for each horizon constitutes the deterministic forecast. The forecast flexibility for the dayahead horizon is chosen in (9) as the minimum of the deterministic aggregated forecast on the day to predict.…”
“…Bidding strategies for participation of wind farms in an AS market have been studied recently. The reserve strategies proposed in [9] keep a share of the active power forecast to the FCR market. The optimal bid of wind power is analytically derived as a quantile of the production forecast for the day ahead, considering high penalties in the balancing market if failing to provide the FCR service.…”
Abstract-This paper presents the initial findings on a new forecast approach for ancillary services delivered by aggregated renewable power plants. The increasing penetration of distributed variable generators challenges grid reliability. Wind and photovoltaic power plants are technically able to provide ancillary services, but their stochastic behavior currently impedes their integration into reserve mechanisms. A methodology is developed to forecast the flexibility that a windphotovoltaic aggregate can provide. A bivariate Kernel Density Estimator forecasts the probability to provide reserve. The methodology is tested on a case study where volumes of automatic Frequency Restoration Reserve (aFRR) are forecasted on a day-ahead horizon. It is found that the windphotovoltaic aggregate can dedicate a limited share of its forecast production to aFRR. The frequency of insufficient reserve capacity is assessed, by comparing the capacities offered with the measured production.
“…The literature on the management of DERs considering day-ahead, hour-ahead and real-time scheduling processes has been growing over the last few years [5]. This includes a number of studies on day-ahead scheduling for DERs with impact on operation costs [10][11][12][13], optimal bidding [13], load shedding [10], carbon emissions [10,14], EVs with vehicle-to-grid ability [15,16], losses reduction [17] and service restoration [18], as well as ancillary services management [19,20], among others. An integrated day-ahead and hour-ahead (intraday) schedule for dealing with DERs uncertainty [21], maximizing the retailer's profit under carbon emissions penalties [22], DERs scheduling with recourse to stochastic programming [23] and control strategies [24] has been studied.…”
Section: Literature Review and Specific Contributionsmentioning
Abstract:The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The model aims to minimize the operation costs in the point of view of one aggregator agent taking into account the balance of the distribution system. For each scheduling stage, previous scheduling results and updated forecasts are considered. An illustrative test case of a distribution network with 33 buses, considering a large penetration of distribution energy resources allows demonstrating the benefits of the proposed model.
“…In this new context, with WPPs offering in both energy and reserve markets, it is crucial to develop methods for the optimal offering of wind power in both markets. In this way, some studies have emerged on joint offering of energy and reserve under uncertain production . A multi‐stage stochastic approach for evaluating under risk analysis the joint participation of wind in both the energy and reserve markets is proposed in the literature .…”
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