Unit commitment in a hybrid diesel/wind/pumped‐storage isolated power system considering the net demand intra‐hourly variability

Abstract

This paper presents a novel two-stage stochastic mixed-integer linear programming model for the generation scheduling of a hybrid diesel/wind/pumped-storage power system that considers the intra-hourly net demand variability during the first stage. The model aims to minimise the scheduling cost, calculates the power system storage opportunity cost and considers that the start-up cost of thermal units depends on the time passed since the previous shutdown in a detailed manner for the first stage (i.e. using integer variables) and in an approximate manner (relaxing the integrality constraints) for the second stage. To increase the model's computational efficiency, a solution approach based on the Benders decomposition technique is applied. The model is implemented in the real power system of El Hierro island, an isolated hybrid diesel/wind/pumped-storage power system with a closed-loop pumped-storage plant and high wind power installed capacity. The schedules provided by the proposed model are compared to the ones provided by a similar model that does not consider the intra-hourly net demand variability, resulting in generation schedules with a significantly lower wind energy curtailment. The results demonstrate the importance of considering the intra-hourly net demand variability in order to integrate more wind energy at a moderate extra cost.

A coordinated model for self‐scheduling and market participation of a large consumer in the face of a comprehensive set of uncertainties with incomplete Data

“…In such environment, the level of the uncertainty is very high [1]. Since the electricity market has many complexities and the electricity price fluctuates in different situations [2], it is better for a large consumer to use diverse kinds of resources such as power market, bilateral contracts, and self-generation facilities including diesel units [3], Photovoltaic (PV) panels [4], and Wind Turbines (WT) [5]. Participating in Demand Response Programs (DRPs) is another reasonable way for large consumer to minimize its costs and risks.…”

A comparison between central- and self-dispatch storage management principles in island systems

“…In [35,36], a similar concept, involving pumped hydro storage and wind, is investigated for the island of El Hierro to achieve annual RES penetration levels around 80%. The same island is the study case of [37], where a novel generation scheduling model has been introduced to cope with the intra-hourly variability of the system's residual load. Hybrid storagerenewable stations have also been evaluated in [38] as a means to achieve full decarbonization in an economically feasible manner for the Ometepe island.…”

Increasing the Photovoltaic Hosting Capacity in Autonomous Grids and Microgrids via Enhanced Priority-List Schemes and Storage

“…Specifically, in [15] a wind-hydro pumped storage plant is introduced as a practical paradigm for high-RES penetration in autonomous island systems. Taking into account the intra-hourly net demand variability, the optimal generation scheduling of a hybrid diesel/wind/pumped-storage isolated system is presented in [16]. In order to determine the number of over-frequency events, the authors in [17] analysed the impact of wave energy generation on the power system frequency for the particular case study of Tenerife Island in Spain.…”

“…With the aid of virtual power plants, two further studies involved the presence of centrally managed battery energy storage (BES) facilities with diversified system characteristics under high-RES penetration conditions [21,22]. Finally, it is worth noting that the most common methods conducted to solve UC in indicative non-interconnected island power systems are the Benders decomposition technique [16], priority list schemes [23] and mixed-integer linear programming approach [24].…”