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| Content Provider | IET Digital Library |
|---|---|
| Author | Zeng, Bo Wei, Xuan Feng, Jiahuan Liu, Zongqi |
| Abstract | Environmental and economic concerns drive the rapid use of renewable distributed generation (RDG) throughout the world. Due to the inherent variability in renewable energy sources, the capability of RDG to displace conventional generation has become an urgent issue to be studied for future power system planning. In this study, the capacity credit (CC) of RDG is investigated given the distribution generation system context, where in the impact of demand response (DR) is highlighted. To achieve this, it was first attempted to specify CC index of RDG. On this basis, a generalised possibilistic–probabilistic model is proposed for DR characterisation. It decomposes consumer behaviours into a coupling process by the instant response and inter-temporal effect and takes into account of both aleatory and epistemic uncertainties that involved. The Fischer–Burmeister-based transformation is used to deal with the hybrid uncertainty. The CC is calculated using the sequential Monte Carlo simulation approach, embedded with an adaptation strategy developed to improve the computational efficiency. Numerical results on a real 20 kV distribution network show that the RDG capacity value varies with DR capacity. DR could have a considerable contribution to the reliability benefits of the system if sufficient responsiveness from demand side were provided. |
| Starting Page | 1814 |
| Ending Page | 1818 |
| Page Count | 5 |
| Volume Number | 2017 |
| e-ISSN | 20513305 |
| Issue Number | Issue 13, Jan (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2017/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0644 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2017-01-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Adaptation Strategy Aleatory Uncertainties Capacity Credit CC Index Consumer Behaviours Conventional Generation Demand Response Demand Side Demand Side Management Distributed Power Generation Distribution Generation System Context Distribution Network DR Capacity DR Characterisation Economic Concern Environmental Concern Epistemic Uncertainties Fischer-Burmeister-based Transformation Future Power System Planning Generalised Possibilistic-probabilistic Model Instant Response Intertemporal Effect Monte Carlo Method Power Distribution Economics Power Distribution Planning Power Distribution Reliability Power Generation Economics Power Generation Planning Power Generation Reliability Power System Economics Power System Managemen Power System Operation Power System Planning And Layout RDG Capacity Value Reliability Reliability Benefits Renewable Distributed Generation Renewable Energy Source Sequential Estimation Sequential Monte Carlo Simulation Approach Voltage 20 KV |
| Content Type | Text |
| Resource Type | Article |
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