Abstract
The active distribution network (ADN) is able to manage distributed generators (DGs), active loads and storage facilities actively. It is also capable of purchasing electricity from main grid and providing ancillary services through a flexible dispatching mode. A competitive market environment is beneficial for the exploration of ADN’s activeness in optimizing dispatch and bidding strategy. In a bilateral electricity market, the decision variables such as bid volume and price can influence the market clearing price (MCP). The MCP can also have impacts on the dispatch strategy of ADN at the same time. This paper proposes a bi-level coordinate dispatch model with fully consideration of the information interaction between main grid and ADN. Simulation results on a typical ADN validate the feasibility of the proposed method. A balanced proportion between energy market and ancillary services market can be achieved.
Highlights
Distributed energy resources (DERs) such as distributed generators (DGs), active loads and storage devices are effective ways for the sustainable development of energy resources
active distribution network (ADN) is defined as the distribution network with the system controlling a combination of DERs [1]
The scheduling of DERs as well as the exchanged power between ADN and main grid should be made for dispatch strategy
Summary
Distributed energy resources (DERs) such as distributed generators (DGs), active loads and storage devices are effective ways for the sustainable development of energy resources. With the integration of DERs into distribution networks, the active distribution network (ADN) is presented [1,2,3,4]. ADN is defined as the distribution network with the system controlling a combination of DERs [1]. The scheduling of DERs as well as the exchanged power between ADN and main grid should be made for dispatch strategy. A coordinated method is presented to manage ADN concerning the cost of DGs and purchasing electricity in [5]. An optimal schedule model is proposed for ADN to minimize the operation cost of a complete dispatch cycle [8]. The technical and economic effects of active management on distribution network are evaluated in [10]
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