A stochastic security approach to energy and spinning reserve scheduling considering demand response program

• Published in: Energy (Oxford) Vol. 36; no. 5; pp. 3130 - 3137
• Main Authors: Partovi, Farzad, Nikzad, Mehdi, Mozafari, Babak, Ranjbar, Ali Mohamad
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01-05-2011; Elsevier
• Subjects: algorithms; Applied sciences; computer software; Demand; Demand response; Economic data; Economics; Electric energy; Energy; Energy economics; Energy policy; Exact sciences and technology; Expected load not supplied; General, economic and professional studies; linear programming; Marketing; markets; Methodology. Modelling; Networks; Optimal reserve capacity; Optimization; Reserve capacity; Reserve scheduling; Security; Security constrained unit commitment; spinning; Spinning reserve allocation; Spinning reserve allocation; Optimal reserve capacity; Demand response; Expected load not supplied; Security constrained unit commitment
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2011.03.002

In this paper a new algorithm for allocating energy and determining the optimum amount of network active power reserve capacity and the share of generating units and demand side contribution in providing reserve capacity requirements for day-ahead market is presented. In the proposed method, the optimum amount of reserve requirement is determined based on network security set by operator. In this regard, Expected Load Not Supplied (ELNS) is used to evaluate system security in each hour. The proposed method has been implemented over the IEEE 24-bus test system and the results are compared with a deterministic security approach, which considers certain and fixed amount of reserve capacity in each hour. This comparison is done from economic and technical points of view. The promising results show the effectiveness of the proposed model which is formulated as mixed integer linear programming (MILP) and solved by GAMS software.
► Determination of optimal spinning reserve capacity requirement in order to satisfy desired security level set by system operator based on stochastic approach. ► Scheduling energy and spinning reserve markets simultaneously. ► Comparing the stochastic approach with deterministic approach to determine the advantages and disadvantages of each. ► Examine the effect of demand response participation in reserve market to provide spinning reserve.