Day-ahead Market Trading Strategies for VPP Considering Electric Vehicles and Interruptible Loads

With the increasing share of new energy generation worldwide, the scheduling optimisation of virtual power plant(VPP), as an important part of modern power systems, is crucial for improving the economics and stability of power grids. This paper proposes an optimal scheduling strategy for VPP considering electric vehicles(EVs) and interruptible loads, aiming to minimise the total system operating cost by exploiting the demand response capabilities of various resources within VPP. In this paper, the main resources within the VPP, including gas turbines, photovoltaic generation, energy storage systems, and two demand response resources, interruptible loads and electric vehicle loads, are firstly mathematically modelled and the corresponding optimal scheduling models are developed. The objective of the model is to be solved using the CPLEX solver of the MATLAB software to achieve coordination and complementarity of internal resources, optimise energy allocation and utilisation, and thus reduce operating costs, while satisfying multiple constraints. The results of the analyses of the algorithms show that the proposed method significantly reduces the total operating cost of VPP while improving the resource utilisation, especially during peak load hours, the optimised demand response strategy effectively reduces the system supply and demand pressures, and improves the economy and stability of the power system.