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Abstract: An innovative control strategy for adaptive secondary frequency regulation utilizing dynamic energy storage based on primary frequency response is proposed.
Particular emphasis is placed on incorporating hybrid energy storage systems (HESS) into secondary frequency regulation. The objective function for the intraday process, represented by Eq. (31), includes minimizing overall costs, maintaining the frequency at its nominal value, and minimizing deviations in the forecasting schedule cost (32).
Disengagement from the secondary frequency regulation not only accelerates the restoration of grid frequency but also ensures precise and error-free adjustment of the system frequency, thereby improving tracking and dynamic performance. The effectiveness of the proposed control strategy is demonstrated through simulation.
To mitigate communication delays, an adaptive consensus event-triggered algorithm is utilized. Particular emphasis is placed on incorporating hybrid energy storage systems (HESS) into secondary frequency regulation.
The Nordic power system is designed for a nominal frequency of 50 Hz, however, the actual frequency always fluctuates around the nominal value depending on the imbalance between production and consumption. When there is more electricity production than consumption the frequency will start to increase and vice versa.
Normal state is shown in green, Alert state in yellow and Emergency state in red. In the Nordic power system the standard frequency range is 50 Hz ±100 mHz. During large imbalance events the frequency is allowed to transiently deviate ±1000 mHz for up to 60 seconds, after which the frequency has to settle within ±500 mHz.
There are five different system states: Normal, Alert, Emergency, Blackout and Restoration . The first three of them are illustrated in Figure 2 with respect to frequency. Figure 2: System state limits with respect to frequency in the Nordic power system. Normal state is shown in green, Alert state in yellow and Emergency state in red.
Current research on energy storage control strategies primarily focuses on whether energy storage systems participate in frequency regulation independently or in coordination with wind farms and photovoltaic power plants .
In the end, a control framework for large-scale battery energy storage systems jointly with thermal power units to participate in system frequency regulation is constructed, and the proposed frequency regulation strategy is studied and analyzed in the EPRI-36 node model.
Since the battery energy storage does not participate in the system frequency regulation directly, the task of frequency regulation of conventional thermal power units is aggravated, which weakens the ability of system frequency regulation.
The classical droop control and virtual inertia control are improved with battery charge as feedback. Also, the battery energy storage can respond to system frequency changes by adaptively selecting a frequency regulation strategy based on system frequency drop deviations.
Aiming at the problems of low climbing rate and slow frequency response of thermal power units, this paper proposes a method and idea of using large-scale energy storage battery to respond to the frequency change of grid system and constructs a control strategy and scheme for energy storage to coordinate thermal power frequency regulation.
In addition, due to the fluctuating nature of RESs, energy storage devices have a high cycling frequency, which poses a challenge to battery life and performance. 10. Conclusion and recommendation This review comprehensive analyses the control scheme for ESSs providing frequency regulation (FR) of the power system with RESs.
Frequency regulation involves real-time adjustments to the power grid to counteract fluctuations in electricity supply and demand. Here's a closer look at how this process works: Grid operators continuously monitor the frequency of the electricity grid.
Electricity must be supplied at a constant frequency to ensure the proper functioning of electrical devices and the stability of the power grid. Deviations from the standard frequency can lead to energy losses, equipment damage and even widespread blackouts.
Batteries and other energy storage systems can quickly discharge or absorb energy to help balance the grid. These systems are particularly useful for managing short-term fluctuations. Demand response programs incentivize consumers to reduce their electricity usage during peak demand times or when the grid is under stress.
Energy management systems (EMSs) are required to utilize energy storage effectively and safely as a flexible grid asset that can provide multiple grid services. An EMS needs to be able to accommodate a variety of use cases and regulatory environments. 1. Introduction
By bringing together various hardware and software components, an EMS provides real-time monitoring, decision-making, and control over the charging and discharging of energy storage assets. Below is an in-depth look at EMS architecture, core functionalities, and how these systems adapt to different scenarios. 1. Device Layer
Various energy storage systems (ESS) methods support frequency regulation services, each addressing specific grid stability needs. Batteries are highly efficient with rapid response capabilities, ideal for mitigating short-term frequency fluctuations.
Coordination of multiple grid energy storage systems that vary in size and technology while interfacing with markets, utilities, and customers (see Figure 1) Therefore, energy management systems (EMSs) are often used to monitor and optimally control each energy storage system, as well as to interoperate multiple energy storage systems.
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