Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Price-based Demand Response Supported Three-stage Hierarchically Coordinated Voltage Control for Microgrids
Author:
Affiliation:

1.School of Electrical and Power Engineering, Hohai University, Nanjing211100, China;2.School of Electrical and Computer Engineering, The University of Sydney, Sydney, NSW2006, Australia;3.Center for Power Engineering (CPE), School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore639798, Singapore;4.Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China

Fund Project:

This work was supported in part by the National Natural Science Foundation of China (No. 52307091), in part by the Natural Science Foundation of Jiangsu Province (No. BK20230952), in part by the China Postdoctoral Science Foundation (No. 2023M740976), and in part by the Start Up Grant of City University of Hong Kong (No. 9380163).

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    Abstract:

    Photovoltaic (PV) inverter, as a promising voltage/var control (VVC) resource, can supply flexible reactive power to reduce microgrid power loss and regulate bus voltage. Meanwhile, active power plays a significant role in microgrid voltage profile. Price-based demand response (PBDR) can shift load demand via determining time-varying prices, which can be regarded as an effective means for active power shifting. However, due to the different characteristics, PBDR and inverter-based VVC lack systematic coordination. Thus, this paper proposes a PBDR-supported three-stage hierarchically coordinated voltage control method, including day-ahead PBDR price scheduling, hour-ahead reactive power dispatch of PV inverters, and real-time local droop control of PV inverters. Considering their mutual influence, a stochastic optimization method is utilized to centrally or hierarchically coordinate adjacent two stages. To solve the bilinear constraints of droop control function, the problem is reformulated into a second-order cone programming relaxation model. Then, the concave constraints are convexified, forming a penalty convex-concave model for feasible solution recovery. Lastly, a convex-concave procedure-based solution algorithm is proposed to iteratively solve the penalty model. The proposed method is tested on 33-bus and IEEE 123-bus distribution networks and compared with other methods. The results verify the high efficiency of the proposed method to achieve power loss reduction and voltage regulation.

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History
  • Received:March 11,2024
  • Revised:April 06,2024
  • Adopted:
  • Online: January 24,2025
  • Published: