Genetic Algorithm Based PI Controller for Frequency Control of an Autonomous Hybrid Generation System
نویسندگان
چکیده
This paper presents an autonomous hybrid generation system consisting of wind turbine generators (WTG), a diesel engine generator (DEG), fuel cell (FC), a battery energy storage system (BESS) and an aqua electrolyzer (AE). The generated hydrogen by an aqua electrolyzer is used as fuel for a fuel cell. The power system frequency deviates for the sudden changes in load and generation. The output power of DEG, FC, BESS and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral (PI). GA is used for optimization of controller gains of the proposed hybrid system. The system response with GA based controller is compared with that of classical method. Investigation shows that GA based controller gives better response than the classical method Keywords-Genetic Algorithm, Aqua electrolyzer, Fuel cell, Diesel engine generator, Battery energy storage system, Wind turbine generator. NOMENCLATURE Δf System frequency deviation. Ksys Frequency characteristic constant of hybrid power system. sys s G Transfer function of hybrid power system. DEG P Output power of diesel generators. ( ) DEG s G Transfer function of diesel generator. DEG K Gain of diesel generator. DEG T Time constant of diesel generator. FC P Output power of fuel-cell generators. FC K Gain of fuel cell. FC T Time constant of fuel cell. ( ) FC s G Transfer function of fuel-cell generators. BESS P Input power to battery energy storage system. __________________________ Manuscript received on 21 January, 2011; revised on 28 January, 2011. Dulal Ch. Das is Assistant Professor with Electrical Engineering Department, NIT Silchar, Assam, e-mail: [email protected] A K Roy is his supervisor, Professor with Electrical Engineering Department, NIT Silchar, Assam, e-mail: anjan_kumarroy @rediffmail.com N Sinha is his co-supervisor, Professor with Electrical Engineering Department, NIT Silchar, Assam, e-mail: [email protected] ( ) BESS s G Transfer function of battery energy storage system. BESS K Gain of battery energy storage system. BESS T Time constant of battery energy storage system. ( ) AE s G Transfer function of aqua electrolyzers . AE P Input power to aqua electrolyzers. AE K Gain of the aqua electrolyzer. AE T Time constant of the aqua elctrolyzer. PS Total power generation to the system. PL Average power absorbed by loads. Pe Error in power supply and demand. M Inertia constant of the hybrid power system. D Damping constant of the hybrid power system. PWTG Power output of wind generator. ( ) WTG s G Transfer function of wind generator. WTG K Gain of wind generator. WTG T Time constant of wind generator.
منابع مشابه
Design of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...
متن کاملFrequency Control of Isolated Hybrid Power Network Using Genetic Algorithm and Particle Swarm Optimization
This paper, presents a suitable control system to manage energy in distributed power generation system with a Battery Energy Storage Station and fuel cell. First, proper Dynamic Shape Modeling is prepared. Second, control system is proposed which is based on Classic Controller. This model is educated with Genetic Algorithm and particle swarm optimization. The proposed strategy is compared with ...
متن کاملA Distributed Control Architecture for Autonomous Operation of a Hybrid AC/DC Microgrid System
Hybrid AC/DC microgrids facilitate the procedure of DC power connection into the conventional AC power system by developing the distributed generations (DGs) technologies. The conversion processes between AC and DC electrical powers are more convenient by hybrid systems. In this paper, an energy management system (EMS) for a hybrid microgrid network is proposed due to the optimal utilization of...
متن کاملControl-Strategies-for-Performance-Assessment-of-an- Autonomous Wind Energy Conversion System
Renewable energy sources like wind, sun, and hydro are considered as a reliable alternative to the traditional energy sources such as oil, natural gas, or coal. This paper describes modeling and simulations to determine a method for the power performance evaluation of autonomous wind turbine system. A speed control regulator is utilized to control the DC bus voltage. The inverter gate’s signals...
متن کاملA New Algorithm for Load Flow Analysis in Autonomous Networks
In this paper, a novel algorithm for the load flow analysis problem in an islanded microgrid is proposed. The problem is modeled without any slack bus by considering the steady state frequency as one of the load flow variables. To model different control modes of DGs, such as droop, PV and PQ, in an islanded microgrid, a new formula for load flow equations is proposed. A hybrid optimization alg...
متن کاملAn Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کامل