Advanced Energy Management in Virtual Power Plant using Multi Agent System Leo Raju SSN College of Engineering leor@ssn.edu.in Kaviya Appaswamy SSN College of Engineering kaviaindia@gmail.com Janani Vengatraman SSN College of Engineering jananivenkatraman01@gmail.com Antony Amalraj Morais SSN College of Engineering amalrajmorais@hotmail.com Abstract—The objective of this paper is to develop a Multi Agent System (MAS) for advanced distributed energy man- agement of a solar-wind interconnected micro-grid. This grid connected micro-grid also contains two solar Photo Voltaic (PV) systems, two Wind Turbines each contains a local consumer, a solar PV system and a battery unit. We also consider a Diesel Power Plant that provides considerable power. So, Initially we measure the load patterns, solar power, wind power generated in the two solar and wind units. Then we use Multi Agent System for advanced distributed energy management of this solar-wind micro-grid with smart grid frame work. We develop a simulation model in Java Agent Development Environment (JADE) for distributed, dynamic energy management, which considers the intermittent nature of solar power, wind power, randomness of load, dynamic pricing of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the solar micro-grid. Furthermore, MAS increases the operational efficiency, due to decentralised approach and reduced timings. Thus MAS in solar micro-grid energy management leads to economic and environmental optimization. Simulated operation of solar generators and loads are studied by performing simulations under all possible agent objectives. Outcome of the simulation studies proves the effectiveness of proposed MAS in distributed energy management of solar-wind interconnected micro-grid. Index Terms—Virtual Power Plant; Solar micro-grid; Energy Management; Multi Agent System; Java Agent Development Environment(JADE). I. I NTRODUCTION Electrical power industry is changing drastically in the recent times due to evolution of smart grid. Proliferation of renewable resources in smart grid leads to economic and environmental optimization.We are moving towards smarter, sustainable and decentralized power systems. The smart grid paradigm represents a transition towards an intelligent, digitally enhanced, two way power delivery grids. Smart Grid uses information and communications technologies to improve the reliability, availability, and efficiency of the electric system Solar and wind energy are the only solutions to the growing energy crisis in the world. Micro-grid is a an interconnection of low voltage distributed resources with loads. It is the building block of smart grid and are poised to play a major role in enabling the widespread adoption of renewable, distributed energy resources in both grid-connected and off-grid environments. Integrating renewable energy in micro-grid is the way forward for economic and environmental optimization, generating clean and green energy, thereby pro- viding solution to the global warming [1]. The randomness in renewable power generation can jeopardize micro-grid stability. Passive networks may be inadequate to cope with the high penetration of Distributed Energy Resoures (DER) and complex control decisions due to the lack of flexibility and extensibility. Dynamic energy management is a key enabler for the integration of large quantities of renewable power generation onto the electrical grid, making it active. These renewable energy resources will significantly increase the variability of electrical power and impact the dynamics and stability of the power grid. Maintaining reliability and stability requires these dynamics be balanced in real time.[2]. The computational intelligence methods and classical algo- rithms for energy management of microgrids are discussed in [3]. Most of the existing research addresses micro-grid operation problems in a centralized manner. In order to reduce communication overhead and improve robustness to a single point of failure, decentralized approach is used. Multi-agent based modeling of power systems is a promising approach to provide a common communication interface for all agents representing the autonomous physical elements in the power system. Furthermore, the distributed nature and potential for modeling autonomous decision making entities in solving complex problems motivates the use of multi-agent system for the operation of micro-grid through implementing smart grid techniques [4]. Agent based modeling of micro-grid with uncertainty of renewable energy resources iin the energy system performance and reliability of micro-grid is discussed in [5]. A multi-agent system based energy management system (EMS) for implementing a PV-small hydro hybrid micro-grid is discussed in [6].The main operation of a Multi agent System for micro-grid Control is discussed in [7]. Optimization of micro-grid using MAS is given in detail in [8]. The design and implementation of Multi Agent System in micro-grid energy management is discussed in detail in [9]. Multi-agent system for real-time operation of a micro-grid in real-time digital simulator is discussed in [10]. Multi-agent based distributed energy management for intelligent micro-grid is discussed in [11]. The various trends in micro-grid control is discussed in [12]. The complete review of micro-grids in multi-agent sys- tem perspectives are discussed in[13]. Although many micro- grid research activities involving MAS have been reported, no proper MAS platform was implemented considering all the options available in a micro-grid for optimization in a