Decision Making Tool for Virtual Power PlantsConsidering Midterm Bilateral Contracts

This paper presents a decision making frameworkfor weekly self-scheduling of a virtual power plant (VPP) which isoften a coalition of intermittent renewable energy sources (RES),storage systems, controllable loads, and small-scale conventionalpower plants. It is assumed that the VPP besides participation inthe day-ahead electricity market, needs to conclude some weeklybilateral contracts in advance to maximize its overall pro fit. Inthis paper, an efficient Price Based Unit Commitment (PBUC)approach is employed for optimal offering of a VPP in themarket considering the uncertainty of market prices. Thus, itproposes VPP’s portfolio optimization using a non-probabilisticInformation Gap Decision Theory (IGDT) to efficiently model theuncertainties in scheduling of a VPP. Accordingly, the selfscheduling problem is formulated for risk-neutral, risk-averse,and risk-seeker VPPs. The effectiveness of the proposed tool isassessed and demonstrated by applying it on a distributionsystem with three grid supply points

کلیدواژه ها:

virtual power plant ، smart grid ، bilateral contracts ، intermittent renewable energy sources ، decision making tool ، uncertainty ، information gap decision theory.