Abstract
In this paper, an optimal power flow problem is formulated in order to minimize the total operation cost by considering real-time pricing in DC microgrids. Each generation resource in the system, including the utility grid, is modeled in terms of operation cost, which combines the cost-efficiency of the system with the demand response requirements of the utility. By considering the primary (local) control of the grid-forming converters of a microgrid, optimal parameters can be directly applied to the control of this level, thus achieving higher control accuracy and faster response. The optimization problem is solved in a heuristic way by using genetic algorithms. In order to test the proposed algorithm, a six-bus droop-controlled DC microgrid is used as a case-study. The obtained simulation results show that under variable renewable generation, load, and electricity prices, the proposed method can successfully dispatch the resources in the microgrid with lower total operation costs.
Original language | English |
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Title of host publication | Proceedings of the 41th Annual Conference of IEEE Industrial Electronics Society, IECON 2015 |
Publisher | IEEE Press |
Publication date | 2015 |
Pages | 003905 - 003909 |
ISBN (Electronic) | 978-1-4799-1762-4 |
DOIs | |
Publication status | Published - 2015 |
Event | 41th Annual Conference of IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan Duration: 9 Nov 2015 → 12 Nov 2015 Conference number: 35501XP |
Conference
Conference | 41th Annual Conference of IEEE Industrial Electronics Society, IECON 2015 |
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Number | 35501XP |
Country/Territory | Japan |
City | Yokohama |
Period | 09/11/2015 → 12/11/2015 |
Keywords
- DC microgrids
- Genetic algorithm
- Optimal power flow
- Economics
- Demand response