Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

Abstract

Summary Wind speed fluctuations in wind‐integrated energy systems render the need for the fast and proper response of the conventional thermal generating units. This is while ramping constraints of these units as the backbone of the traditional power generation cycle depreciate their response, which poses a serious security challenge. This article is aimed at enhancing the security of multiarea wind‐integrated energy systems by the coordinated deployment of energy storage systems (ESSs). To realize a practical model, a probabilistic reformulation of decentralized security‐constrained optimal power flow by taking into account the thermal units' ramping constraints is developed, which tackles the uncertainties of wind speed fluctuations through a proper provision of ramping requirements by ESSs. Moreover, the optimality condition decomposition algorithm is used to solve security‐constrained optimal power flow at each area of the energy system in a decentralized manner. Furthermore, to reduce the computational burden, a contingency filtering approach is employed that filters the uncritical conditions during the solution process. Different scenarios of transmission line and generator outages are explored by linear outage factors, including the line outage distribution factor and the power transfer distribution factor. In the established model, the value of loss of load and the value of wind curtailment factors are employed to reflect the economic impact of load shedding and wind energy curtailment. For supplying the lost power in generation outages, the participation factor of the connected sources is modified, which considers the remained generation capacity of sources. To assess the efficiency of the proposed model, the New England 39‐bus testbed is put under extensive investigation. The results are discussed in depth.

A Blocking Method for Overload-Dominant Cascading Failures in Power Grid Based on Source and Load Collaborative Regulation

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“…To prevent the development of CF, measures such as AGO and COL need to be taken based on the power grid trend. To ensure the rationality of prevention and control measures and prevent the occurrence of over cutting and less cutting, it is necessary to specify the exact location and control capacity of AGO and COL [21][22][23]. The CFB control model established in this paper includes AGO and COL location selection and capacity calculation.…”

Preparation of inorganic molten salt composite phase change materials and study on their electrothermal conversion properties

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Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based

“…In [21], an optimality decomposition algorithm is used to solve security-constrained OPF problem in present of wind power is proposed. In order to reduce the calculation time, in process state a filtering approach is applied to the algorithm.…”