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Energies 2018, 11(9), 2347; https://doi.org/10.3390/en11092347

Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory

1
Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
2
Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique, Beijing 100192, China
*
Author to whom correspondence should be addressed.
Received: 23 August 2018 / Revised: 1 September 2018 / Accepted: 3 September 2018 / Published: 6 September 2018
(This article belongs to the Special Issue Operation and Control of Power Distribution Systems)
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Abstract

Distributed generation (DG) is an important method of energy generation that accelerates the decentralization process of centralized systems, and has been widely deployed in modern society due to its economical, sustainable, and environmentally friendly characteristics. However, with the tremendous development of DG, system reliability operations are facing increasingly severe challenges because of the fluctuations of the renewable generation. In this paper, a novel spinning reserve optimization method is proposed to maximize the maximum allowance of system uncertainty (MAoSU) under the premise of satisfying the preset system operational cost. Then, the success rate of DG off-grid operation is calculated by comparing the magnitude of optimal spinning reserve capacity with the power exchange between the main grid and the distributed grid. The simulation results show that decision-makers need to increase the operational cost to compensate for system uncertainty, and the percentage increase of the operational cost is in proportional to the MAoSU and system renewable energy penetration rate. Additionally, with the increase of the MAoSU, the system needs to prepare more spinning reserve capacity to maintain system reliability operations. Finally, with the decrease of the MAoSU, the success rate of system off-grid operation decreases sharply, especially when the MAoSU is less than 0.5. View Full-Text
Keywords: spinning reserve; island operation; information gap decision theory (IGDT); system robustness spinning reserve; island operation; information gap decision theory (IGDT); system robustness
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Zhang, H.; Sun, H.; Zhang, Q.; Kong, G. Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory. Energies 2018, 11, 2347.

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