Distributed generation planning for diversified participants in demand response to promote renewable energy integration

In modern distribution system,the distribution system operator(DSO)acts as a market facilitator and data manager as well as an energy supplier and operation controller.In this circumstance,the DSO should comprehensively consider the diversified participants of the modern distribution system when making investment decisions of distributed generation(DG).This paper proposes a DG planning model considering the behavior of the diversified participants,which are motivated to cooperate with distributed renewable energy resources to promote their integration,and to achieve the optimal DG investment plan.The optimization model takes a centralized structure but fully considers the preferences,profits and comfort levels of the aggregators and consumers.The model is linearized into a mixed-integer linear programming(MILP)problem and is solved by CPLEX.Results of the case study show that when the DSO spares subsidies to the aggregators and consumers to encourage their participation in demand response(DR)programs,it earns more compared with providing no subsidies for DR participation.It is also demonstrated that the overall profit increases as the subsidies increase within a certain range,but decreases when the subsidies exceed this range.Therefore,the DSO needs to carefully choose the subsidization level to achieve the optimal utilization of renewable energy and demand flexibility.The optimal subsidization level is derived from the model proposed in this paper.Therefore,this paper puts forward a new pattern to utilize the distributed renewable energy sources,and provides guidance in policy making and DR program implementation.

A Mechanism of Intraday Market Design for Promoting Wind Power Integration

Wind power generation has been developing rapidly in recent years.Therefore,the mechanism for promoting wind power integration becomes increasingly important.In this paper,a novel mechanism of intraday market is proposed,which can utilize updating information of wind power and effectively exploit the shiftable load.The mechanism is compatible with the existing market framework,and promotes wind power producers(WPPs)to be more competitive in the market.Thus,the WPPs could make decisions for multiple market transactions in various trading timescales according to the market price.Moreover,the WPPs can optimize their decisions continuously in the intraday market at different time points in the model.The case study on IEEE-RTS verifies the proposed method is valid and feasible.It can support wind power integration and increase the benefit of the whole system as well.