Event-Triggered Hybrid Voltage Regulation With Required BESS Sizing in High-PV-Penetration Networks

Zhang, Zhanqiang; Dou, Chunxia; Yue, Dong; Zhang, Yudi; Zhang, Bo; Zhang, Zhijun

doi:10.1109/tsg.2022.3168440

Cited by 26 publications

(14 citation statements)

References 18 publications

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“…However, other practical factors such as thermal constraints and unbalanced scenarios of distribution grids were not considered, which did not demonstrate the scalability of the methodology to larger practical distribution grids. Event triggered voltage control techniques to optimize BESS power for voltage regulation in power grids were proposed in Kang et al (2022) and Zhang et al (2022).…”

Section: Decentralized Controlmentioning

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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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: Decentralized Controlmentioning

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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“…This paper proposes a safety-aware semi-end-to-end coordinated decision model for voltage regulation by connecting the NN-driven prediction and SOCP-driven regulation models for (23). And the derivative of the MSE with respect to 𝜃 is calculated by Eq.…”

Section: Discussionmentioning

confidence: 99%

Safety-Aware Semi-End-to-End Coordinated Decision Model for Voltage Regulation in Active Distribution Network

Sang

Long

et al. 2023

IEEE Trans. Smart Grid

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Prediction plays a vital role in the active distribution network voltage regulation under the high penetration of photovoltaics. Current prediction models aim at minimizing individual prediction errors but overlook their collective impacts on downstream decision-making. Hence, this paper proposes a safety-aware semi-end-to-end coordinated decision model to bridge the gap from the downstream voltage regulation to the upstream multiple prediction models in a coordinated differential way. The semi-end-to-end model maps the input features to the optimal var decisions via prediction, decision-making, and decisionevaluating layers. It leverages the neural network and the secondorder cone program (SOCP) to formulate the stochastic PV/load predictions and the var decision-making/evaluating separately. Then the var decision quality is evaluated via the weighted sum of the power loss for economy and the voltage violation penalty for safety, denoted by regulation loss. Based on the regulation loss and prediction errors, this paper proposes the hybrid loss and hybrid stochastic gradient descent algorithm to back-propagate the gradients of the hybrid loss with respect to multiple predictions for enhancing decision quality. Case studies verify the effectiveness of the proposed model with lower power loss for economy and lower voltage violation rate for safety awareness.

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“…Thus, due to its capability of alleviating the technical constraints violation of large-scale RESs integration, more capacity of RESs can be incorporated into the system. 5,6 As a result, a significant amount of the anticipated growth in active and reactive power demand can be met by RESs and DSTATCOM. Hence, the process of upgrading substation capacity can be avoided or delayed.…”

Section: Introductionmentioning

confidence: 99%

“…1,3 Therefore, enhancement of substation and feeder capacity is important aspect of system planning. Although both parameters were taken into account for ADSEP in References [1,3,[7][8][9][10], however, it was mostly neglected by the researchers as can be seen in References [5,6,11,[14][15][16][17]19]. Moreover, as a part of long-term ADSEP, new load points could be added to the current distribution network.…”

Section: Introductionmentioning

confidence: 99%

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Coordinated framework for active distribution system planning integrating active system management schemes

Sannigrahi

Ghatak

Acharjee

2023

Int J Numerical Modelling

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To counter different technical challenges with large‐scale renewable energy sources (RESs) integration, distribution systems (DS) are recently undergoing the transition process from passive to active DS (ADS), which has introduced further complications for system planning. In such context, this study proposes an ADS expansion planning (ADSEP) framework in coordination with active system management (ASM) schemes. A multi‐stage ADSEP model, unlike the traditional single‐stage model, is designed where the planning horizon is divided into several stages to make the planning investments gradually. For proper coordination of different planning alternatives, an effective bi‐level model is formulated based on upper‐level and lower‐level planning. In accordance with recent energy market scenario, RESs are assumed to be invested by RES Investor (RESI) and to ensure the desired financial benefits of RESI, the Distribution Company (DISCOM) offers bus‐wise contract price (BCP) for purchasing RESs generated energy. Moreover, a computationally efficient 2 m point estimate method (PEM) is applied to model the uncertainties of load and RESs. The proposed planning framework with multiple objectives is solved using the multi‐objective PSO technique considering 69‐bus test system.

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Event-Triggered Hybrid Voltage Regulation With Required BESS Sizing in High-PV-Penetration Networks

Cited by 26 publications

References 18 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

Safety-Aware Semi-End-to-End Coordinated Decision Model for Voltage Regulation in Active Distribution Network

Coordinated framework for active distribution system planning integrating active system management schemes

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