Optimal Peak Shaving Control Using Dynamic Demand and Feed-In Limits for Grid-Connected PV Sources With Batteries

Manojkumar, Rampelli; Kumar, Chandan; Ganguly, Sanjib; Catalào, João P. S.

doi:10.1109/jsyst.2020.3045020

Cited by 45 publications

(34 citation statements)

References 24 publications

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“…Several methodologies to optimize the operation of BESS for peak shaving in distribution grids were presented in the literature. For example, a rule-based control strategy for peak shaving was proposed in Manojkumar et al (2021). Dynamic load and feed-in-tariffs are used for day-ahead load and PV profile predictions, which are then used to optimize the charging/discharging of BESS to reduce peak load.…”

Section: Optimum Operation Of Bess For Peak Shavingmentioning

confidence: 99%

“…The methodology requires customers historical load data as an input, which could be considered confidential and may be difficult to obtain in certain practical scenarios Manojkumar et al (2021) Peak shaving Rule based control and genetic algorithm were presented for day ahead load and generation prediction using dynamic load and feed-in tariffs Scalability of the methodology to a larger and complex system was not demonstrated Barchi et al (2019) Peak shaving Predictive control was used to implement BESS charging and discharging strategies considering load and generation prediction Does not verify whether the predictive energy control methodology can flatten the load profiles for grid ancillary support…”

Section: Mohamed Et Al (2020)mentioning

confidence: 99%

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A review of battery energy storage systems for ancillary services in distribution grids: Current status, challenges and future directions

et al. 2022

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Battery Energy Storage Systems (BESS) are essential for increasing distribution network performance. Appropriate location, size, and operation of BESS can improve overall network performance. The appropriately scaled and installed BESS helps meet peak energy demand, improve the advantages of integrating renewable and distributed energy sources, improve power quality control, and lower the cost of expanding or re-configuring the distribution networks. This paper investigates the feasibility of BESS for providing short-term and long-term ancillary services in power distribution grids by reviewing the developments and limitations in the last decade (2010–2022). The short-term ancillary services are reviewed for voltage support, frequency regulation, and black start. The long-term ancillary services are reviewed for peak shaving, congestion relief, and power smoothing. Reviewing short-term ancillary services provides renewable energy operators and researchers with a vast range of recent BESS-based methodologies for fast response services to distribution grids. Long-term ancillary services will provide the distributed network system operators and researchers with current BESS-based bulk-energy methods to improve network reliability and power quality and maximize revenue from renewable energy generation. The review presents a list of energy storage policies and BESS projects worldwide with a cost-benefit analysis. The challenges for deploying BESS in distribution grids recommended solutions for the implementation challenges, and future research directions are also presented.

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Section: Optimum Operation Of Bess For Peak Shavingmentioning

confidence: 99%

Section: Mohamed Et Al (2020)mentioning

confidence: 99%

A review of battery energy storage systems for ancillary services in distribution grids: Current status, challenges and future directions

et al. 2022

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“…The control scheme can only be replicated in complexes with predictive consumption pattern and few number of peaks. [43] proposes a method to dynamically calculates the demand to better control the BESS for various possible cases of demand and PV profiles to optimize peak shaving.…”

Section: Bess Controlmentioning

confidence: 99%

Unified Control Strategy for Microgrid Solid-State Transformers

Elias

Rezaei-Zare

2022

2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Syst

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Solid-state transformers (SST) are particularly useful components in distributed generation systems (DG). This research approaches the control of the SST in a more comprehensive and an organized way. It proposes a compact, versatile and an efficient unified control strategy. This proposal gives rise to three more I would also like to thank my supportive classmates especially Subrina Shawlin and Anusha Lamichhane for their support throughout the past 5 terms. I am always grateful for the support of my family and friends.

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“…However, feed in limitation is not discussed. In [36], both feed-in and demand powers are discussed while preserving flexible daily management. They also provide an effective rulebased strategy for peak shaving management, that is used to determine the ideal inputs for the suggested rule-based peak shaving management but for a single house [36].…”

Section: Introductionmentioning

confidence: 99%

A Novel Dynamic Load Scheduling and Peak Shaving Control Scheme in Community Home Energy Management System Based Microgrids

et al. 2023

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Load scheduling and peak demand shaving are two critical aspects of the utility grid operation that help both the grid operators as well as end-users. This paper proposes a two-stage community home energy management system for microgrids. The first stage deals with the dynamic clustered community load scheduling scheme. Comparatively flatter power demand was attained using particle swarm optimization (PSO) incorporating user-defined constraints. The new arising or remaining peaks as a consequence of consumer constraints are catered to in the second stage. The second stage proposes a rule-based peak shaving management method for the photovoltaic (PV) systems that are connected to the grid and the battery energy storage systems. The proposed technique determines the dynamic demand and feed-in limits based on the estimations of the upcoming day's load demand and PV power profiles. Also, the study presents an optimal rule-based management technique for peak shaving of utility grid power that sets the charge/discharge day ahead schedules of the battery. For peak energy minimization, PSO is used to calculate the optimal inputs needed for implementing the appropriate rulebased management strategy. MATLAB is used to test the proposed method for different PV power and load demand patterns, thus, achieving an average improvement of 8.5%.

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Optimal Peak Shaving Control Using Dynamic Demand and Feed-In Limits for Grid-Connected PV Sources With Batteries

Cited by 45 publications

References 24 publications

A review of battery energy storage systems for ancillary services in distribution grids: Current status, challenges and future directions

A review of battery energy storage systems for ancillary services in distribution grids: Current status, challenges and future directions

Unified Control Strategy for Microgrid Solid-State Transformers

A Novel Dynamic Load Scheduling and Peak Shaving Control Scheme in Community Home Energy Management System Based Microgrids

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