Renewable Energy Power Generation Estimation Using Consensus Algorithm

2nd International Conference on Green Energy Technology

能源学;生态环境科学

Ahmad, Jehanzeb^1 ; Najm-Ul-Islam, M.^1 ; Ahmed, Salman^2

Bahria University Islamabad, Pakistan^1

Sarhad University Peshawar, Pakistan^2

关键词: Consensus algorithms;    Distributed computations;    Distributed energy resource;    Generate electricity;    Graph-theoretic methods;    Renewable energy power generations;    Residential consumers;    Solid state controllers;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/83/1/012011/pdf
DOI  :  10.1088/1755-1315/83/1/012011

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

At the small consumer level, Photo Voltaic (PV) panel based grid tied systems are the most common form of Distributed Energy Resources (DER). Unlike wind which is suitable for only selected locations, PV panels can generate electricity almost anywhere. Pakistan is currently one of the most energy deficient countries in the world. In order to mitigate this shortage the Government has recently announced a policy of net-metering for residential consumers. After wide spread adoption of DERs, one of the issues that will be faced by load management centers would be accurate estimate of the amount of electricity being injected in the grid at any given time through these DERs. This becomes a critical issue once the penetration of DER increases beyond a certain limit. Grid stability and management of harmonics becomes an important consideration where electricity is being injected at the distribution level and through solid state controllers instead of rotating machinery. This paper presents a solution using graph theoretic methods for the estimation of total electricity being injected in the grid in a wide spread geographical area. An agent based consensus approach for distributed computation is being used to provide an estimate under varying generation conditions.