Abstract
In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated. As a whole, the main objective of this paper is to manage the load and energy storage options in a smart grid to reduce ENS, to minimize overall operation cost and to maximize DG operators’ (DGOs) profit. These goals are obtained by considering ENS cost in a multi-objective optimization problem. Distribution company (DisCo) modifies energy cost as a signal for DGO in order to coordinate with each other. So, behavior of DGO is based on modified energy price applied by upstream system considering ENS price.
Originalsprog | Engelsk |
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Titel | Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
Antal sider | 6 |
Forlag | IEEE Press |
Publikationsdato | okt. 2017 |
Sider | 26-31 |
ISBN (Elektronisk) | 978-1-5386-1127-2 |
DOI | |
Status | Udgivet - okt. 2017 |
Begivenhed | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, Kina Varighed: 29 okt. 2017 → 1 nov. 2017 |
Konference
Konference | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
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Land/Område | Kina |
By | Beijing |
Periode | 29/10/2017 → 01/11/2017 |
Sponsor | Chinese Association of Automation (CAA), Chinese Power Supply Society, et al., IEEE Industrial Electronics Society (IES), Systems Engineering Society of China, The Institute of Electrical and Electronics Engineers (IEEE) |