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Qiangqiang Xie
The College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China

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Journal article
Published: 16 June 2021 in Electric Power Systems Research
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The development of renewable energy sources can help optimise energy structures and alleviate environmental problems. However, the integration of large-scale distributed renewable energy sources into power distribution systems may lead to reverse power flows and over-voltage. In addition, the simultaneous charging of numerous electric vehicles may result in under-voltage. To address this issue, a collaborative voltage regulation algorithm for regulating the operating power of aggregated air conditioners is developed in this study. First, a thermal model of a room is developed for analysing the dynamic operation processes of an air conditioner. Based on the thermal model, the regulation power provided by the aggregated air conditioners can be calculated, by temporarily resetting the set temperatures. Furthermore, the node voltages can be regulated by increasing/decreasing the operating power of the air conditioners. In addition, a participation priority algorithm is proposed for selecting the most suitable air conditioners for regulation. The numerical test results show that the proposed method can control the node voltage fluctuation within the permissible limits, and can maintain the room temperature within a suitable range. Thus, using thermal modelling and the proposed collaborative algorithm, voltage regulation services can be provided by utilizing the air conditioners, without affecting occupant comfort.

ACS Style

YongZhu Hua; Qiangqiang Xie; Hongxun Hui; Yi Ding; Weiran Wang; Huibin Qin; Xiangrong Shentu; Jiadong Cui. Collaborative voltage regulation by increasing/decreasing the operating power of aggregated air conditioners considering participation priority. Electric Power Systems Research 2021, 199, 107420 .

AMA Style

YongZhu Hua, Qiangqiang Xie, Hongxun Hui, Yi Ding, Weiran Wang, Huibin Qin, Xiangrong Shentu, Jiadong Cui. Collaborative voltage regulation by increasing/decreasing the operating power of aggregated air conditioners considering participation priority. Electric Power Systems Research. 2021; 199 ():107420.

Chicago/Turabian Style

YongZhu Hua; Qiangqiang Xie; Hongxun Hui; Yi Ding; Weiran Wang; Huibin Qin; Xiangrong Shentu; Jiadong Cui. 2021. "Collaborative voltage regulation by increasing/decreasing the operating power of aggregated air conditioners considering participation priority." Electric Power Systems Research 199, no. : 107420.

Research article
Published: 31 January 2020 in IET Generation, Transmission & Distribution
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In low-voltage power distribution systems with high penetration of photovoltaics (PVs) generation and electric vehicles (EVs), the over-voltage problem arises at times because of large PV generation, and under-voltage problem also arises sometimes because of simultaneous charging of massive EVs. Over- and under-voltage problems lead to more difficulties in achieving voltage regulation. Demand response (DR) is expected to be promising and cost-effective in promoting smart grids, and hence, the utilisation of flexible resources (FRs) through DR can be helpful for distribution system voltage regulation. This study introduces a hierarchical control structure of a community energy management system (CEMS) and multiple sub-CEMSs to apply an FR-based two-stage voltage regulation technique. In the first stage, i.e. the day-ahead scheduling stage, each sub-CEMS optimises the FRs’ schedules for minimising customers’ electricity cost and network voltage violation times. In the second stage, i.e. the real-time operation stage, the voltage sensitivity-based FRs’ shifting method is proposed to eliminate network voltage violations caused by errors of estimated day-ahead data. The proposed models and methods are verified based on a realistic distribution system in Japan, where voltage violations, customer electricity cost and a number of on-load tap changer tap operations are proved to be reduced.

ACS Style

Qiangqiang Xie; Hongxun Hui; Yi Ding; Chengjin Ye; Zhenzhi Lin; Peng Wang; Yonghua Song; Ling Ji; Rong Chen. Use of demand response for voltage regulation in power distribution systems with flexible resources. IET Generation, Transmission & Distribution 2020, 14, 883 -892.

AMA Style

Qiangqiang Xie, Hongxun Hui, Yi Ding, Chengjin Ye, Zhenzhi Lin, Peng Wang, Yonghua Song, Ling Ji, Rong Chen. Use of demand response for voltage regulation in power distribution systems with flexible resources. IET Generation, Transmission & Distribution. 2020; 14 (5):883-892.

Chicago/Turabian Style

Qiangqiang Xie; Hongxun Hui; Yi Ding; Chengjin Ye; Zhenzhi Lin; Peng Wang; Yonghua Song; Ling Ji; Rong Chen. 2020. "Use of demand response for voltage regulation in power distribution systems with flexible resources." IET Generation, Transmission & Distribution 14, no. 5: 883-892.

Journal article
Published: 18 May 2019 in Energies
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The growing penetration of photovoltaic (PV) systems may cause an over-voltage problem in power distribution systems. Meanwhile, charging of massive electric vehicles may cause an under-voltage problem. The over- and under-voltage problems make the voltage regulation become more challenging in future power distribution systems. Due to the development of smart grid and demand response, flexible resources such as PV inverters and controllable loads can be utilized for voltage regulation in distribution systems. However, the voltage regulation needs to calculate the nonlinear power flow; as a result, utilizing flexible resources for voltage regulation is a nonlinear scheduling problem requiring heavy computational resources. This study proposes an intelligent search algorithm called voltage ranking search algorithm (VRSA) to solve the optimization of flexible resource scheduling for voltage regulation. The VRSA is built based on the features of radial power distribution systems. A numerical simulation test is carried out on typical power distribution systems. The VRSA is compared with the genetic algorithm and voltage sensitivity method. The results show that the VRSA has the best optimization effect among the three algorithms. By utilizing flexible resources through demand response, the tap operation times of on-load tap changers can be reduced.

ACS Style

Qiangqiang Xie; Xiangrong Shentu; Xusheng Wu; Yi Ding; YongZhu Hua; Jiadong Cui. Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm. Energies 2019, 12, 1902 .

AMA Style

Qiangqiang Xie, Xiangrong Shentu, Xusheng Wu, Yi Ding, YongZhu Hua, Jiadong Cui. Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm. Energies. 2019; 12 (10):1902.

Chicago/Turabian Style

Qiangqiang Xie; Xiangrong Shentu; Xusheng Wu; Yi Ding; YongZhu Hua; Jiadong Cui. 2019. "Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm." Energies 12, no. 10: 1902.

Journal article
Published: 18 March 2019 in Applied Sciences
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In recent years, the installation of distributed generation (DG) of renewable energies has grown rapidly. When the penetration of grid-integrated DGs are getting high, the voltage and frequency of the power system may cause deviation. We propose an algorithm that reduces voltage and frequency deviation by coordinating the control of multiple battery energy storage systems (BESSs). The proposed algorithm reduces the total number of charging and discharging times by calculating the sensitivity coefficient of BESS at different nodes and then selecting the appropriate BESSs to operate. The algorithm is validated on a typical distribution testing system. The results show that the voltage and frequency are controlled within the permissible range, the state of charge of BESSs are controlled within the normal range, and the total number of charging and discharging cycles of BESSs are reduced.

ACS Style

YongZhu Hua; Xiangrong Shentu; Qiangqiang Xie; Yi Ding. Voltage/Frequency Deviations Control via Distributed Battery Energy Storage System Considering State of Charge. Applied Sciences 2019, 9, 1148 .

AMA Style

YongZhu Hua, Xiangrong Shentu, Qiangqiang Xie, Yi Ding. Voltage/Frequency Deviations Control via Distributed Battery Energy Storage System Considering State of Charge. Applied Sciences. 2019; 9 (6):1148.

Chicago/Turabian Style

YongZhu Hua; Xiangrong Shentu; Qiangqiang Xie; Yi Ding. 2019. "Voltage/Frequency Deviations Control via Distributed Battery Energy Storage System Considering State of Charge." Applied Sciences 9, no. 6: 1148.

Article
Published: 03 May 2017 in IEEJ Transactions on Electrical and Electronic Engineering
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The high degree of penetration of residential rooftop photovoltaic systems causes the overvoltage problem in power distribution systems. This paper aims to introduce demand-side management for a distribution system for overvoltage prevention. A real-time overvoltage prevention coordination scheme between an on-load tap changer (OLTC) and multi-community energy management systems (multi-CEMSs) is proposed. The main objectives of this control are to relieve the stress in the OLTC tap operation using household schedulable loads and to maximize customer profit in each CEMS. The load scheduling performed by each CEMS is formulated as a combinatorial, nonlinear, time-series scheduling optimization problem and is solved by a sequential search method named voltage-ranking-based load combination search algorithm. The effectiveness of the proposed method is validated in a model distribution system with1800 customers. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

ACS Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. Coordinated control of OLTC and multi-CEMSs for overvoltage prevention in power distribution system. IEEJ Transactions on Electrical and Electronic Engineering 2017, 12, 692 -701.

AMA Style

Qiangqiang Xie, Ryoichi Hara, Hiroyuki Kita, Eiichi Tanaka. Coordinated control of OLTC and multi-CEMSs for overvoltage prevention in power distribution system. IEEJ Transactions on Electrical and Electronic Engineering. 2017; 12 (5):692-701.

Chicago/Turabian Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. 2017. "Coordinated control of OLTC and multi-CEMSs for overvoltage prevention in power distribution system." IEEJ Transactions on Electrical and Electronic Engineering 12, no. 5: 692-701.

Conference paper
Published: 16 February 2017 in 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
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High degree penetration of residential rooftop Photovoltaic (PV) systems will cause the overvoltage problem in power distribution system. In this study, a real-time overvoltage prevention control realized by multi-agent based community energy management system (CEMS) is proposed. The main concept of the proposed control is to suppress the overvoltage by managing the operation schedule of household loads. The scheduling of each CEMS is formulated as a combinatorial nonlinear time-series scheduling optimization problem in which the profit of each community is maximized. The effectiveness of proposed method is validated in a 1800-customer distribution system model.

ACS Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. Real-time overvoltage prevention control via multi-agent based community energy management systems. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) 2017, 1 -6.

AMA Style

Qiangqiang Xie, Ryoichi Hara, Hiroyuki Kita, Eiichi Tanaka. Real-time overvoltage prevention control via multi-agent based community energy management systems. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2017; ():1-6.

Chicago/Turabian Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. 2017. "Real-time overvoltage prevention control via multi-agent based community energy management systems." 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) , no. : 1-6.

Journal article
Published: 01 January 2016 in Journal of International Council on Electrical Engineering
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As clean and renewable energy, Photovoltaic (PV) systems have been developed quickly nowadays. However, high penetration of PVs would cause overvoltage problem. This paper proposes a cooperative real-time overvoltage prevention control, which is managed by a community energy management system (CEMS). The main idea is to suppress the overvoltage by managing the operation schedule of household loads facilitated by the CEMS. The scheduling by CEMS is formulated as a combinatorial nonlinear time-series scheduling optimization problem in which the profit of the whole community is maximized. A fast heuristic search method called local search method is developed for the purpose of real time control. To validate the proposed method, a simulation of one day schedule is carried out on a 20-customers distribution system model.

ACS Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. A real-time cooperative overvoltage prevention control by a community energy management system. Journal of International Council on Electrical Engineering 2016, 6, 224 -230.

AMA Style

Qiangqiang Xie, Ryoichi Hara, Hiroyuki Kita, Eiichi Tanaka. A real-time cooperative overvoltage prevention control by a community energy management system. Journal of International Council on Electrical Engineering. 2016; 6 (1):224-230.

Chicago/Turabian Style

Qiangqiang Xie; Ryoichi Hara; Hiroyuki Kita; Eiichi Tanaka. 2016. "A real-time cooperative overvoltage prevention control by a community energy management system." Journal of International Council on Electrical Engineering 6, no. 1: 224-230.