Research On Coordinate Dispatch Strategy Between Active Distribution Network And Main Grid

Distributed energy resources(DERs)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.ADN with more autonomy in dispatching is able to control distributed generations,storage facilities and active load to realize the efficient operation.The dispatching schedule of main network and distribution network influence each other.Besides the operating cost,the coordination of main network and distribution network should be considered when we make the optimal schedule of ADN.A coordinative dispatch optimization model is built based on real time pricing,concerning the information exchange between ADN and main network.In addition to traditional iterative method,an equivalent generation method is present to optimize algorithm results.Simulation results on different node systems verify the validity of the model and the algorithm.ADNs are entitled with high dispatching autonomy right,making it possible to provide ancillary services such as spinning reserve service and peak regulation.This paper proposes an optimal dispatch and bidding strategy of ADN considering the combination of energy and ancillary services market.In this model,ADN purchase electricity from main grid in energy market,and provide reserve capacity in ancillary services market.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 dispatching strategy of ADN at the same time.This paper fully considers the coordination between ADN and different markets.Simulation results show that a balanced proportion between energy market and ancillary services market can be achieved.A multiple active distribution network game problem is discussed at last,and a complete information game is utilized to simulate the strategic interaction among ADNs.In a complete information game,each ADN knows the objective function of others,and tries to minimize its cost by acknowledging its rivals' bidding strategies.Simulation results show that relative optimal costs can be achieved through the game theoretic model.