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Energies 2015, 8(2), 1080-1100; doi:10.3390/en8021080

Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties

School of Electrical Engineering, Southeast University, Nanjing 210096, China
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Author to whom correspondence should be addressed.
Academic Editor: Neville Watson
Received: 17 September 2014 / Revised: 23 January 2015 / Accepted: 28 January 2015 / Published: 2 February 2015
(This article belongs to the Collection Smart Grid)
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Abstract

The volatility of wind power poses great challenges to the operation of power systems. This paper deals with the economic dispatch problems presented by energy storage in wind integrated systems. A policy iteration algorithm for deriving the cost optimal policy of real-time scheduling is proposed, taking the effect of wind forecast uncertainties into account. First, energy loss and use of fast-ramping generation are selected as the performance metrics. Then, a policy iteration algorithm is developed using the Perturbed Markov decision process. This algorithm has a two-level optimization structure in which both the long-term and short-term behaviors of real-time scheduling policy are optimized. In addition, a unified optimal storage control strategy is presented. The feasibility of the proposed methodology is demonstrated via the wind power archive of Electric Reliability Council of Texas (ERCOT). Through comparative numerical experiments, both the performance of the policy iteration algorithm in the short-term and long-term are verified and the consistency, robustness, good convergence and high computational efficiency of the proposed algorithm are also corroborated. View Full-Text
Keywords: energy storage; forecast error; Perturbed Markov decision process; policy iteration algorithm; real-time scheduling energy storage; forecast error; Perturbed Markov decision process; policy iteration algorithm; real-time scheduling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huo, Y.; Jiang, P.; Zhu, Y.; Feng, S.; Wu, X. Optimal Real-Time Scheduling of Wind Integrated Power System Presented with Storage and Wind Forecast Uncertainties. Energies 2015, 8, 1080-1100.

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