A Multi-agent Based Framework for Load Restoration Incorporating Photovoltaic-Energy Storage System

This paper presents a multi-agent based framework for load restoration incorporating photovoltaic-energy storage system, in which three types of agents are introduced, namely coordination agent, regional agent and energy storage agent. Regarding distance between load and renewable energy resource, a...

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Bibliographic Details
Published in2018 International Conference on Power System Technology (POWERCON) pp. 4278 - 4283
Main Authors Pang, Jing-Hao, Shi, Li-Bao, Ni, Yi-Xin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Analytical models
Collaborative work
Greedy algorithms
multi-agent
Optimization
Photovoltaic systems
photovoltaic-energy storage
Power systems
renewable energy
Renewable energy sources
Terms-load restoration
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Summary:This paper presents a multi-agent based framework for load restoration incorporating photovoltaic-energy storage system, in which three types of agents are introduced, namely coordination agent, regional agent and energy storage agent. Regarding distance between load and renewable energy resource, an optimization model for load restoration is proposed. With the support of greedy algorithm and the three proposed types of agents, the load restoration pertinent to each region can be realized quickly and in parallel by each time step through a set of simple control strategies. Under various designed operating scenarios, the proposed framework is tested on a modified IEEE 39-bus test system to verify its feasibility and effectiveness.
DOI:10.1109/POWERCON.2018.8601574