Algorithm for Management of Energy in the Microgrid DC Bus

Similar documents
Control System for a Diesel Generator and UPS

Intelligent Power Management of Electric Vehicle with Li-Ion Battery Sheng Chen 1,a, Chih-Chen Chen 2,b

Analysis of modelling electric transportation networks

A STUDY ON ENERGY MANAGEMENT SYSTEM FOR STABLE OPERATION OF ISOLATED MICROGRID

A Battery Smart Sensor and Its SOC Estimation Function for Assembled Lithium-Ion Batteries

IEEE Workshop Microgrids

Analysis and Design of Independent Pitch Control System

The hierarchical three layer protection of photovoltaic generators in microgrid with co-ordinated droop control for hybrid energy storage system

Technology from the New Product SANUPS K for a Smart Grid Society

Laboratory Scale Microgrid Test-Bed Hardware Implementation

Small Electrical Systems (Microgrids)

Introduction. Systems Specifications

Fault Analysis on an Unbalanced Distribution System in the Presence of Plug-In Hybrid Electric Vehicles

Design of Active and Reactive Power Control of Grid Tied Photovoltaics

Capacity Design of Supercapacitor Battery Hybrid Energy Storage System with Repetitive Charging via Wireless Power Transfer

FAULT ANALYSIS OF AN ISLANDED MICRO-GRID WITH DOUBLY FED INDUCTION GENERATOR BASED WIND TURBINE

Breakout Session 1 Report-out presentations

Bidirectional Intelligent Semiconductor Transformer

Design of Large-Capacity Battery Energy Storage System and Its Application in Coal Mine

Abstract- In order to increase energy independency and decrease harmful vehicle emissions, plug-in hybrid electric vehicles

Analysis of Fuel Economy and Battery Life depending on the Types of HEV using Dynamic Programming

Design of Intelligent Charger for Electric Vehicles

Co-Ordination Control and Analysis of Wind/Fuel Cell based Hybrid Micro-Grid using MATLAB/Simulink in Grid Connected Mode

An approach for estimation of optimal energy flows in battery storage devices for electric vehicles in the smart grid

Accurate and available today: a ready-made implementation of a battery management system for the new 48V automotive power bus

Agility in energy Ahead of the challenge, ahead of the change

A simulator for the control network of smart grid architectures

Electric Vehicles Coordinated vs Uncoordinated Charging Impacts on Distribution Systems Performance

IMPLEMENTING A BATTERY ENERGY STORAGE SYSTEM WITH A CONVERTERLESS DIRECT CONNECTION TO AN LVDC DISTRIBUTION NETWORK

Simulation Modeling and Control of Hybrid Ac/Dc Microgrid

Available online at ScienceDirect. Procedia Engineering 170 (2017 )

Autonomous Voltage and Frequency Control by Smart Inverters of Photovoltaic Generation and Electric Vehicle

Engineering Research Center for Future Renewable Electric Energy Delivery and Management (FREEDM) Systems

STABILIZATION OF ISLANDING PEA MICRO GRID BY PEVS CHARGING CONTROL

Design & Development of Regenerative Braking System at Rear Axle

Power Conditioning of Microgrids and Co-Generation Systems

CORPORATE PRESENTATION January, 2014

IEEE-PES Chicago Chapter Presentation November 11, Smart Grid. Mike Born. Principal Engineer, Capacity Planning

SPIRO SOLUTIONS PVT LTD POWER ELECTRONICS 1. RENEWABLE ENERGY PROJECT TITLES I. SOLAR ENERGY

Implementation of Bidirectional DC/AC and DC/DC Converters for Automotive Applications

INVESTIGATION AND PERFORMANCE ANALYSIS OF MULTI INPUT CONVERTER FOR THREE PHASE NON CONVENTIONAL ENERGY SOURCES FOR A THREE PHASE INDUCTION MOTOR

Dual power flow Interface for EV, HEV, and PHEV Applications

ABB in Wind &Integration of renewables

Increasing the Battery Life of the PMSG Wind Turbine by Improving Performance of the Hybrid Energy Storage System

Design of Net Meter for Off Grid Microgrid

Implementation of Bidirectional DC-DC converter for Power Management in Hybrid Energy Sources

Enabling resilient and cost effective access to power

DISTRIBUTED ENERGY RESOURCE MANAGEMENT SYSTEM. ABB Ability DERMS Operational confidence.

G2V and V2G operation 20 kw Battery Charger

Research and Design for a New Storage Type Converter

MICROGRIDS DESIGNING AN IMPROVED GRID

DC Nanogrids Igor Cvetkovic

ENERGY STORAGE SYSTEM MERUS ESS

A Novel Hybrid Smart Grid- PV-FC V2G Battery Charging Scheme

Energy Storage at Raglan Mine To Achieve High Penetration of Wind Power

Study on State of Charge Estimation of Batteries for Electric Vehicle

A Grid-Connected Dual Voltage Source Inverter with Power Quality Improvement Features Abstract

Energy and Mobility Transition in Metropolitan Areas

Analysis and Design of the Super Capacitor Monitoring System of Hybrid Electric Vehicles

Laboratory Tests, Modeling and the Study of a Small Doubly-Fed Induction Generator (DFIG) in Autonomous and Grid-Connected Scenarios

Integrated Monitoring System Design of Hybrid Aircompressors

Vehicle-to-Grid (V2G) Communications

Achieves a high-efficiency conversion of 94% despite being isolated type through digital control

NORDAC 2014 Topic and no NORDAC

A Novel DC-DC Converter Based Integration of Renewable Energy Sources for Residential Micro Grid Applications

CPES Initiative on Sustainable Buildings and Nanogrids

Control Strategies for Supply Reliability of Microgrid

OPTIMUM ALLOCATION OF DISTRIBUTED GENERATION BY LOAD FLOW ANALYSIS METHOD: A CASE STUDY

Unlocking value in storage systems

CITCEA-UPC for industrial competitiveness & energy sustainability

Dynamic Control of Grid Assets

Renewable Energy Systems 14

ANFIS CONTROL OF ENERGY CONTROL CENTER FOR DISTRIBUTED WIND AND SOLAR GENERATORS USING MULTI-AGENT SYSTEM

John Barnick, Industry Solution Executive, Network Control, Enterprise Software

Critical Power: What s New in Electrical Engineering: Smart Grid and Transformers. Sponsored by:

OPENDSS SIMULATIONS ON KAUPINRINNE LV-NETWORK

Mechatronical Seed Sowing Machine

Wireless Power Transfer at VEDECOM. François COLET, Mustapha DEBBOU 77 Rue des Chantiers, Versailles, France

Galapagos San Cristobal Wind Project. VOLT/VAR Optimization Report. Prepared by the General Secretariat

The Role of Electricity Storage on the Grid each location requires different requirements

PESC 2004 ABSTRACT. Tel Fax

Power Consump-on Management and Control for Peak Load Reduc-on in Smart Grids Using UPFC

Figure 1 I-V characteristics of PV cells. Meenakshi Dixit, Dr. A. A. Shinde IJSRE Volume 3 Issue 12 December 2015 Page 4687

Designing Of Overload Monitoring System In Public Transportation Based On Microcontrollerin Ethiopia

Design and Analysis of Hybrid Energy Storage System Supplied from Photovoltaic Power Source

A Study of Electric Power Distribution Architectures in Shipboard Power Systems

The Research of Full Automatic Intelligent Oil Filtering System Based on Flow Totalizer Control

The Prince Lab microgrid test bed

Overview of Simplified Mathematical Models of Batteries

A simulation tool to design PV-diesel-battery systems with different dispatch strategies

Reducing Train Weight and Simplifying Train Design by Using Active Redundancy of Static Inverters for the Onboard Supply of Rolling Stock

Applications of Frequency Conversion Technology in Aircompressor

Battery-Ultracapacitor based Hybrid Energy System for Standalone power supply and Hybrid Electric Vehicles - Part I: Simulation and Economic Analysis

DC Arc-Free Circuit Breaker for Utility-Grid Battery Storage System

Power Electronics Projects

Use of Microgrids and DERs for black start and islanding operation

Technology Roadmap for zzzzzzzzz Grid Automation

Research on Bill of Engineering Quantity and Calculation Standard for Power Grid Marketing Project Bin ZHU 1, Yun HE 1 and Zhang-hua CAI 2

EFFICIENT GRID CONNECTED INVERTER TO OVERCOME THE LOAD DISTURBANCE IN HYBRID ENERGY STORAGE SYSTEM

RYERSON UNIVERSITY CENTRE FOR URBAN ENERGY. Bala Venkatesh, PhD, PEng Professor and Academic Director

Transcription:

Algorithm for Management of Energy in the Microgrid Bus Kristjan Peterson Tallinn University of Technology (Estonia) kristjan.pt@mail.ee Abstract This paper presents an algorithm for energy management of the microgrid bus and a flowchart for realization of the algorithm. I. INTRODUCTION Main goals of microgrid development are increased energy consumption, need for higher reliability of electric power supply and reduction of environmental problems. A microgrid frequently consists of both AC and buses. A bus is useful if the microgrid contains power supplies (e.g., batteries or solar cells) or consumers (batteries, ultracapacitors, industrial applications). Energy management in an AC bus is described in [1]. Energy management of the microgrid bus is described in [2], but that energy management method cannot work together with a BMS (battery management system). The aim of this paper is to describe principles of the bus energy management and present an algorithm for control of an experimental microgrid. In the second section, most important terms that help to understand the following parts are described. Third section describes the topology of both AC and buses of a microgrid. The fourth section covers the energy management principles of the bus and the fifth section presents the bus energy control algorithm. II. IMPORTANT TERMS Commonly the word prosumer has two meanings: a union of words of a producer with a consumer or a professional consumer [3]. Producing consumer type of a prosumer either generates energy or consumes energy. A professional consumer is a well educated, skilled consumer who commonly makes smart purchasing or selling decisions using additional information [3], [4]. It is important to know that a prosumer is a person who controls the system but not a machine. An electric car is here also regarded as a prosumer, because energy can move not only from a grid (or from a microgrid) to an electric car, but also vice versa. Also, a microgrid is regarded here as a prosumer, because every microgrid consists of electric energy sources and can supply energy to the main grid. III. COMPOSITION OF THE MICROGRID Structural schema of a microgrid with AC and buses is presented in Fig 1. As depicted in the figure, the microgrid is comprised of a substation, AC bus and bus circuit s, an AC/, AC/AC, /, AC// s, and a control system. The substation of the microgrid is connected to different prosumers with a high voltage grid. As shown, the high voltage side of the substation includes a power transformer and a power switch. The static switch between substation bus bars and the AC bus is meant for automated synchronization and switching and is commonly realized with symistors. Static switches are installed in places where synchronous switching is important and where other devices (s) are not able to realize this function itself. Static switches are under control of the microgrid automated control system. Every consumer or prosumer is provided energy through a separate circuit. s are installed in places where synchronous switching is not necessary or where s before or after these circuit s are capable of autonomous synchronizing with the bus. s are realizing protection and control functions. The AC load(s), AC/ and AC// (s) are supplied energy from the AC bus. The AC// is bidirectional and with adjustable voltage level in the AC and side. The power transformer and the bidirectional AC/ are between the AC and bus. The power transformer before the AC/ is guaranteeing galvanic isolation between the AC and buses and helps to stop harmonics spreading in the microgrid (power transformer windings are connected to delta/star connection). Other AC/ s need to be bidirectional only if there is a prosumer after the. The bus is connected with the AC/ s through circuit s. prosumers or consumers are connected with the AC/ s through circuit s. The automated control system consists of a microcontroller (or microcontrollers, or a microcontroller with extension modules and server computer. Data from the AC/, the, from other AC/AC and AC// s and from current and voltage s is directed to the microcontroller(s) and is then stored in the server. and voltage s are needed in feeders where there is no or smart energy meter installed. A server computer is needed for data collection and for providing an interface to the microgrid owner (prosumer). 170

Substation of microgrid Substation bus bars Microgrid 24/0,4 kv Power switch Static switch Integrated AC& bus AC bus Automated control system Microgrid control devices and software (Computer, devices), microgrid subject (Ownwer of microgrid) AC// Electric car () AC/AC AC device Consumer or generator Static switch AC/ bus Citcuit () / (E.g. ultracapasitor) / (E.g. solar power station) Fig. 1. Structural schema of the microgrid (E. Pettai). 171

IV. GENERAL ENERGY MANAGEMENT PRINCIPLES IN AC PART OF THE MICROGRID The main principle of the energy management of the microgrid that is temporarily in an islanded mode is: if there is too much energy, then it should be shared with others (prosumers, consumers); if there is not enough energy, then it should be taken from others (prosumers); if others do not share, then consumption should be cut down [5]. In the islanded mode, when there is not enough energy in the microgrid, the microcontroller of the microgrid control system can switch off some consumers; take extra energy from the battery of the microgrid or from the battery of an electric vehicle (vehicle to grid mode (V2G)) if the electric vehicle BMS allows energy transfer in this direction. Energy management is realized by a microcontroller that is the main part of the automated control system of a microgrid. The microcontroller obtains information about circuit positions, static switch positions, current and energy flow directions of each feeder, active and reactive power, s working modes, microgrid battery and ultracapacitor state. If an ultracapacitor or a battery of the microgrid is charged, the microcontroller sends charging signals to the corresponding. If the sends a ready signal back to the microcontroller, the microcontroller closes the circuit after the. Information about battery the SOC (state of charge) is also transmitted from BMS to the microcontroller. If an electric vehicle with an empty battery is connected with the microgrid, it will communicate with the control system of the microgrid. The control system will adjust the AC//, followed by switching on the corresponding circuit after the and charging the battery of the vehicle. The control system also counts the consumed energy and sends the counted value to the server computer. The algorithm of connection is analogous when some other consumer connects to the microgrid. V. BUS ENERGY MANAGEMENT Energy management principles in the bus are: AC/ and / adjustable voltage level enables energy transport in both directions and realizes that sway energy management between prosumers and microgrid. Energy transfer from the bus to the AC side is not allowed if prosumers themselves need this energy or will be overloaded. Protection functions are the highest priority, feeders with short circuit or overload are switched off immediately. Protection functions are realized in the automated control system. Figure 2 shows a detailed view of the bus and its feeders. Each feeder is equipped with a circuit, a / and contactors before and after the / (Fig. 2). If some prosumer is demanding constant voltage, and the / is not able to measure voltage or is not able to send measured data to the automated control system, a voltage measuring is also installed in this prosumer feeder. There are three different current flow directions: from the AC/ to the prosumer, from the prosumer to the AC grid and through the bus from one prosumer to another (other) prosumer (prosumers). Based on these direction possibilities, a flowchart of energy management in the bus was composed (Fig. 3). In the flowchart AC power ok check means that the control system checks the sufficiency and quality of the AC power. During the battery charge time, the control system checks the open circuit voltage (OCV) of the battery, battery s state of charge (SOC) and battery charging current that must be smaller than maximum allowed current of a battery (Imax). In the flowchart in some check cases action directions are not shown in alternative answer cases. In these alternative answer cases further action will be interrupted and turned to the start position. When the automated control system receives a signal from the prosumer that this prosumer needs energy from the grid, the automated control system switches on to the circuit before the /, adjusts / voltage level according to the prosumer demand and after that switches the prosumer to the grid with the contactor after the /. If the circuit is in the off position, the automated control system sends the error message to the developer. Microgrid bus AC/ () AC (E. g. ultracapacitor) Producer (E. g. solar power cell) Fig. 2. Detailed structural schema of the bus of the microgrid. 172

Start (Microcontroller power on) Microcontroller self check. Send error signal voltage level voltage level YE Connections between microcontroller and other devices after / after / BMS to charge mode? of battery feeder after / AC power is All energy transfer directions are possible possible to transfer energy only from to AC side and between feeders Start kwh measurement Start kwh measurement OCV>min Slow charge after AC/ power Receive Determine Imax value Imax value Voltages and positions in side is OCV>CU Fast charge softstart (ultracapacitor) Data check ultracapacitor (battery) BMS data check battery Producer (solar cell) Data check solar cell producing energy? ultracapacitor YE SOC 100% required? Switch off circuit after / Constant voltage mode SOC target reached? Charge? Charge? Charging completed softstop energy need in AC side? Switch solar cell circuit off enough energy to charge ultracapacitor and battery? after / Adjust AC/ power and switch this over to boost mode Adjust / voltage Fig. 3. Flowchart of bus power management. 173

When the automated control system receives a signal from the prosumer that this prosumer is ready to transmit energy to the AC grid, the automated control system switches on to the contactor after the /, adjusts the / voltage level according to the data of the prosumer and the voltage level in the common bus. After voltage level adjusting the automated control system switches the prosumer with the contactor before the / to the grid. If one prosumer (or producer) is ready to feed another prosumer or other prosumers through a common bus, automated control system will switch to the feeding prosumer contactor after the / on, adjusts the - voltage level according to the data of the prosumer and the nominal voltage level in the common bus. The automated control system will After voltage level adjusting, switch on to feeding prosumer contactor before -. Also, the automated control system will switch on other(s) consuming prosumer(s) contactor(s) before the - (s) and adjust this (these) (s) voltage level according to the voltage level in the common bus, and after that it switches on contactor(s) after the - (s) to switch consuming prosumers to the common bus. VI. CONCLUSIONS Principles of energy management in the bus were described and the flowchart of bus energy management is presented. The principles described are implementable for prosumer energy management and are integrated with the BMS system, but current s are needed on each feeder and bidirectional / s with adjustable voltage level in the feeder side. VII. FUTURE STUDIES The algorithm provided here will be developed further and tested in practice under the experimental microgrid in Tallinn University of Technology. The experimental microgrid will enable studies of energy flow and communication movement during EV charging. The experimental microgrid is described in detail in papers [6], [7]. ACKWLEDGMENT This research has been supported by Estonian Ministry of Education and Research (Project SF0140016s11), Estonian Science Foundation (Grant ETF757) and European Social Fund (projects Doctoral School of Energy and Geotechnology II and VA431 Support of Research and Development in Energy Technology). REFERENCES [1] T. Korõtko, M. Mägi, K. Peterson, E. Pettai, R. Teemets, Analysis and Development of Protection and Control Functions for Li-Ion Based s Provided by Low Voltage Part of Distribution Substation (appear in print) [2] G. Iwansky, P. Staniak W. Koczara Power management in a Microgrid Supported by Energy Storage in Industrial Electronics(ISIE) Gdansk 2011 pp. 347-352. [3] M. Mägi, K.Peterson, and E.Pettai, Analysis of Protection and Control Functions of Low Voltage Part of Substation for Smart Grid Applications, in Proceedings of 8 th International Conference 2012 Electric Power Quality and Supply Reliability: 2012 Electric Power Quality and Supply Reliability Tartu 2012, 2012, IEEE, pp. 297-304. [4] G. Ritzer, N. Jurgenson, Production, Consumption, Prosumption: The Nature of Capitalism in the Age of the Digital, Journal of Consumer Culture (10:1), pp. 13-36, 2010. [5] K. Peterson Microgrid for TUT Power Engineering Building, Tallinn: 7th International IEEE Conference-Workshop Compatibility and Power Electronics, CPE 2011, pp54-57. [6] K. Peterson Development of Experimental Microgrid in Tallinn University of Technology, 12th International Symposium "Topical Problems in the Field of Electrical and Power Engineering, Kuressaare 2012, pp101-102. [7] K. Peterson Effectiveness Analysis of Microgrid Modules, Doctoral School of Energy and Geotechnology II, Pärnu 2012, pp146-148. 174