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Better Grid Integration of Distributed Generation Using Supply - Demand Matching
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Faculty of Science and Technology, Biology, Department of Ecology and Evolution, Computing Science. datalogi.
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2005 (English)Conference paper (Other (popular scientific, debate etc.))
Abstract [en]

In the future electricity grids it is expected that the share of Distributed Generation and intermittent generators will rise. Because of that the conventional top-down-approach of grid control is no longer sufficient and the need arises to find new mechanisms for balancing supply and demand of electricity.

Using new developments in ICT technology ECN and EnerSearch have developed an alternative concept of balancing supply and demand of electricity, supply-demand matching. This facilitates the introduction of a large amount of small scale distributed generation (including RES) within the lower levels of the power grid.

We show several scenarios that may benefit from supply-demand matching. One scenario investigates the impact of distributed supply - demand matching (SDM) in a residential area. In the scenario a cluster of 40 houses, all connected to the same low-voltage distribution grid cell (LV-cell), is simulated. The LV-cell is externally connected to a medium voltage network. Through this connection power can be obtained from and delivered to other parts of the network. The influence of the SDM has been evaluated in terms of the possibilities to improve the overall match of local demand and supply (i.e. improvement of the local match), and decrease the dependency upon externally supplied power. The added value of SDM has been evaluated in terms of financial value of the locally generated power, and in terms of compliance to user preferences.

Another scenario investigates the case of a program responsible partner having intermittent production such as a wind turbine. Due to uncertainty in the power forecast financial risk is at stake when trading the power. We add different suppliers and consumers to the portfolio, who have elasticity in their load patterns, such as a CHP-installation controlling the building temperature of a cooling device controlling a cold store. We use this elasticity as a local reserve capacity to be controlled by the program responsible partner in order to overcome the uncertainty of its intermittent production.

At the conference we will present the simulation results for these scenarios within the above sketched distributed power market. The case studies will show the benefits for cost effective operation of distributed energy resources (DER); reduction of power flow through substations, thus avoiding distribution and transmission cost; controlling unbalance in intermittent renewables generation such as PV or wind. To validate the results of the simulations an experiment is being prepared.

Place, publisher, year, edition, pages
URN: urn:nbn:se:uu:diva-79124OAI: oai:DiVA.org:uu-79124DiVA: diva2:107037
Available from: 2006-04-25 Created: 2006-04-25

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