The value of energy storage in optimal non-firm wind capacity connection to power systems |
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Affiliation: | 1. RWTH Aachen University, Chair of Technical Thermodynamics, Schinkelstraβe 8, 52062 Aachen, Germany;1. State Power Economic Research Institute, Beijing 102209, China;2. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;3. State Grid Tianjin Maintenance Company, Tianjin 300232, China |
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Abstract: | Wind is a variable and uncontrollable source of power with a low capacity factor. Using energy storage facilities with a non-firm connection strategy is the key to maximum integration of distant wind farms into a transmission-constrained power system. In this paper, we explore the application of energy storage in optimal allocation of wind capacity to a power system from distant wind sites. Energy storage decreases transmission connection requirements, smoothes the wind farm output and decreases the wind energy curtailments in a non-firm wind capacity allocation strategy. Specifically, we examine the use of compressed air energy storage (CAES) technology to supplement wind farms and downsize the transmission connection requirements. Benders decomposition approach is applied to decompose this computationally challenging and large-scale mixed-integer linear programming (MILP) into smaller problems. The simulation results show that using energy storage systems can decrease the variation of wind farms output as well as the total cost, including investment and operation costs, and increase the wind energy penetration into the power system. |
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Keywords: | Wind energy Energy storage systems Benders decomposition Power generation planning |
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