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

Abstract

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.

A dual timescale active power coordinated scheduling framework for wind integrated power system in the presence of storage and wind forecast uncertainties

“…In the algorithm proposed in , the optimal d (•) is derived with Perturbed Markov decision process. This algorithm has a two‐level optimization structure in which both the long‐term behavior (long‐run average of C st ( t )) and short‐term behavior (bias of C st ( t )) of d (•) are optimized.…”

“…Stochastic optimization [18,19] and chance-constrained stochastic optimization [20,21] is the most popular methods to deal with uncertainties in power generation. [22][23][24][25][26][27] also provide different mathematical models and solve techniques to deal with wind power economic dispatch problem in different situations. This paper deals with the economic dispatch in the wind-connected system that is presented with energy storage and wind forecast uncertainties.…”

Economic Dispatch of the Low-Carbon Green Certificate with Wind Farms Based on Fuzzy Chance Constraints

“…Compared with the traditional fossil energy, wind power has the advantages of no energy consumption, no emission and no pollution, and its strategic status is gradually increasing as an alternative energy source and even the dominant energy source [1]. At the same time, with the continuous development of renewable energy power generation, wind power as an important driving force to promote the development of the low-carbon economy has attracted more and more attention [2,3].…”

Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage

“…where ∆P f wt is wind power forecast error at period t. The parameter λ fitting the Laplace distribution of wind power forecast error is 38.22 in [24]. Hence, the actual schedulable power of wind farm k is expressed by ∆P f wt + P f wt .…”

“…Therefore, considering the consecutiveness of multi-time scales, outputs of power generations should be modified based on the results given in day-ahead market solution. References [24,25] indicate that wind power forecast error is close to Laplace distribution whose probability density function is:…”