Distributed Energy Scheduling of Islanded Microgrid Based on Potential Game

被引：2

作者：

Chen, Lei ^{[1
]}

Niu, Yugang ^{[1
]}

Jia, Tinggang ^{[2
]}

机构：

[1] East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai, Peoples R China

[2] Shanghai Elect Automat Grp, 360 Mengzhi Rd, Shanghai 200023, Peoples R China

来源：

2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年

关键词：

Microgrid potential game; distributed optimization; energy management;

D O I：

10.1109/CAC51589.2020.9326972

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Microgrid is an advanced application of distributed renewable energy utilization. With the development of energy Internet technology, microgrid is characterized by strong decentralization and high intelligence. The operation optimization of microgrid requires higher individual autonomy and rational ability, and the traditional centralized optimization is difficult to meet this development trend. In this paper, in order to better reflect the high autonomy of microgrid energy management, a distributed optimization based on potential game is proposed by comprehensively considering multiple independent individuals in the microgrid. Under this strategy, each individual makes decisions with the goal of maximizing their own profits, and completes the iterative solution of the strategy through communication with each other. Finally, a simulation example of islanded microgrid is used to verify the results, which shows that the individual autonomy and intelligence of the microgrid were improved, and the feasibility and effectiveness of the strategy are verified.

引用

下载

页码：1151 / 1156

页数：6

共 50 条

[21] Gain Scheduling Control of an Islanded Microgrid Voltage
Camblong, Haritza
Etxeberria, Aitor
Ugartemendia, Juanjo
Curea, Octavian
ENERGIES, 2014, 7 (07): : 4498 - 4518
[22] Distributed Resource Scheduling Based on Potential Game in Dense Cellular Network
Qi, Zhiqiang
Peng, Tao
Wang, Wenbo
IEEE ACCESS, 2018, 6 : 9875 - 9886
[23] A two-layer energy management for islanded microgrid based on inverse reinforcement learning and distributed ADMM
Huang L.
Sun W.
Li Q.
Mu D.
Li W.
Energy, 2024, 301
[24] Load Management System and Control Strategies of Distributed Energy Resources in an Islanded Microgrid
Shuvra, Mahfuz A.
Chowdhury, Badrul
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITIES: IMPROVING QUALITY OF LIFE USING ICT, IOT AND AI (IEEE HONET-ICT 2019), 2019, : 100 - 104
[25] A Distributed Predictive Control Strategy Based on State Estimator for islanded microgrid
Dong, Mi
Li, Li
Tian, Xiaoyu
2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA), 2018, : 1771 - 1776
[26] Distributed control based power sharing strategy for an islanded AC microgrid
Negi, Nandini
Sahoo, Soumya Ranjan
Chakrabarti, Saikat
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (04) : 553 - 562
[27] Optimized Distributed Cooperative Control for Islanded Microgrid Based on Dragonfly Algorithm
Al-dulaimi, Falah Noori Saeed
Kurnaz, Sefer
ENERGIES, 2023, 16 (22)
[28] Multi-microgrid energy scheduling strategy based on master-slave game
Chen L.
Niu Y.
Jia T.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (19): : 35 - 42
[29] A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks
Shifan Wen
Xing He
Neural Processing Letters, 2022, 54 : 369 - 385
[30] A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks
Wen, Shifan
He, Xing
NEURAL PROCESSING LETTERS, 2022, 54 (01) : 369 - 385

← 1 2 3 4 5 →