A virtual power plant optimal dispatch model with large and small-scale distributed renewable generation

Volatility and sharp increases in the price of electricity are serious economic problems in the primary sector because they affect modernization investments for irrigation systems in Spain. This paper presents a new virtual power plant (VPP) model that integrates all available full-scale distributed renewable generation technologies. The proposed VPP operates as a single plant in the wholesale electricity market and aims to maximize profit from its operation to meet demand. Two levels of renewable energy integration in the VPP were considered: first, a wind farm and six hydroelectric power plants that inject the generated electricity directly to the distribution network, and second, on-site photovoltaic plants associated with each of the electricity supply points in the system that are designed to prioritize self-consumption. The proposed technical-economic dispatch model was developed as a mixed-integer optimization problem that determines the hourly operation of distributed large-scale renewable generation plants and on-site generation plants. The model was applied to real data from an irrigation system comprising a number of water pumping stations in Aragon (Spain). The results of the VPP model demonstrate the importance of the technical and economic management of all production facilities to significantly reduce grid dependence and final electricity costs.

[1]  Anastasios G. Bakirtzis,et al.  Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach , 2016, IEEE Transactions on Smart Grid.

[2]  Almoataz Y. Abdelaziz,et al.  Electrical energy management in unbalanced distribution networks using virtual power plant concept , 2017 .

[3]  Jueyou Li,et al.  A fully distributed ADMM-based dispatch approach for virtual power plant problems , 2017, Applied Mathematical Modelling.

[4]  Luis Baringo,et al.  Self Scheduling of a Virtual Power Plant in Energy and Reserve Electricity Markets: A Stochastic Adaptive Robust Optimization Approach , 2018, 2018 Power Systems Computation Conference (PSCC).

[5]  Kristin Dietrich,et al.  Modelling and assessing the impacts of self supply and market-revenue driven Virtual Power Plants , 2015 .

[6]  Ahad Kazemi,et al.  Stochastic operational scheduling of distributed energy resources in a large scale virtual power plant , 2016 .

[7]  M. Sheikh-El-Eslami,et al.  An interactive cooperation model for neighboring virtual power plants , 2017 .

[8]  Weijun Gao,et al.  Feasibility of virtual power plants (VPPs) and its efficiency assessment through benefiting both the supply and demand sides in Chongming country, China , 2017 .

[9]  M. Lossner,et al.  Economic assessment of virtual power plants in the German energy market — A scenario-based and model-supported analysis , 2017 .

[10]  Zhao Yang Dong,et al.  Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework , 2017 .

[11]  Lei Fan,et al.  A Data-Driven Model of Virtual Power Plants in Day-Ahead Unit Commitment , 2019, IEEE Transactions on Power Systems.

[12]  Z. Tan,et al.  Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand response , 2017 .

[13]  M. Sheikh-El-Eslami,et al.  A profit sharing scheme for distributed energy resources integrated into a virtual power plant , 2016 .

[14]  Igor Kuzle,et al.  Virtual power plant mid-term dispatch optimization , 2013 .

[15]  Hongbo Lian,et al.  Optimal dispatch of virtual power plant using interval and deterministic combined optimization , 2018, International Journal of Electrical Power & Energy Systems.

[16]  Luis Baringo,et al.  A Stochastic Adaptive Robust Optimization Approach for the Offering Strategy of a Virtual Power Plant , 2017, IEEE Transactions on Power Systems.

[17]  Kai Strunz,et al.  Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants , 2018, IEEE Transactions on Power Systems.

[18]  Nemer A. Amleh,et al.  Optimal demand response bidding and pricing mechanism with fuzzy optimization: Application for a virtual power plant , 2017, 2016 Clemson University Power Systems Conference (PSC).

[19]  Javad Nikoukar,et al.  Optimal management of renewable energy sources by virtual power plant , 2017 .

[20]  Rahmat-Allah Hooshmand,et al.  A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems , 2017 .

[21]  M. Sheikh-El-Eslami,et al.  A medium-term coalition-forming model of heterogeneous DERs for a commercial virtual power plant , 2016 .

[22]  H. Saboori,et al.  Virtual Power Plant (VPP), Definition, Concept, Components and Types , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[23]  Alireza Zakariazadeh,et al.  Day-ahead resource scheduling of a renewable energy based virtual power plant , 2016 .

[24]  Yan Lu,et al.  A CVaR-robust-based multi-objective optimization model and three-stage solution algorithm for a virtual power plant considering uncertainties and carbon emission allowances , 2019, International Journal of Electrical Power & Energy Systems.