An Intelligent Battery Energy Storage-Based Controller for Power Quality Improvement in Microgrids

Abstract

Modern power systems rely on renewable energy sources and distributed generation systems more than ever before; the combination of those two along with advanced energy storage systems contributed widely to the development of microgrids (MGs). One of the significant technical challenges in MG applications is to improve the power quality of the system subjected to unknown disturbances. Hence innovative control strategies are vital to cope with the problem. In this paper, an innovative online intelligent energy storage-based controller is proposed to improve the power quality of a MG system; in particular, voltage and frequency regulation at steady state conditions are targeted. The MG system under consideration in this paper consists of two distributed generators, a diesel synchronous generator, and a photovoltaic power system integrated with a battery energy storage system. The proposed control approach is based on hybrid differential evolution optimization (DEO) and artificial neural networks (ANNs). The controller parameters have been optimized under several operating conditions. The obtained input and output patterns are consequently used to train the ANNs in order to perform an online tuning for the controller parameters. Finally, the proposed DEO-ANN methodology has been evaluated under random disturbances, and its performance is compared with a benchmark controller.

Coordinated Operation of Energy Storage Systems for Distributed Harmonic Compensation in Microgrids

“…Hence, other possible AHFs based on other PE converters should be utilized for more economic and flexible solutions. There is a great body of literature about the possible utilization of ESSs for PQ improvement [2,4,6,7,11,13,27]. However, to the best of the author's knowledge, the coordinated operation of ESSs for PQ problems has not been paid attention thus far.…”

“…The battery storage system is currently the most promising ESS due to economic considerations and mature technology [27]. A smart battery controller was proposed in [11] for enhancing the PQ and adjusting steady-state voltage and frequency of MG. An investigation was made in [13] into the PQ of wind turbines with and without ESSs and the results showed the positive effects of ESSs as a solution for the mitigation of wind turbine harmonics.…”

“…The battery storage system is the most promising ESS in this scope. A smart battery controller was proposed in [11] for enhancing PQ and adjusting the steady-state voltage and frequency of MG. In [12], the optimal planning of ESSs for the mitigation of PQ problems was investigated to make ESSs more reasonable to be used in power systems.…”

Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics

“…Several research works have addressed the challenges associated with RES penetration to mitigate the drawback of the uncertainty nature [12][13][14][15][16][17]. Nowadays, many distribution networks encounter significant challenges and dramatic transformation toward a new structure led by correlated factors.…”

“…This includes demand-side management, power quality standards, RES deployment, and reliability requirements [12]. The ancillary services provided by ESS is not just limited to overcome the fluctuant nature RES but can also be applicative for voltage regulation, enhancement of power quality [13,14], smoothing RES power generation, scheduling of optimal power generation dispatch and RES operational flexibility [15][16][17].…”