This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm

The intuition of the power distribution system is to supply good quality of power to the customers with cost-effectively and environment friendly. Renewable energy resources (RES) are integrated in the distribution system to meet out the variable load demand with the decarbonizing effect. With the inclusion of RES, the operation of Distribution Network (DN) has become more complex. This paper describes the state of art in various load flow methods used to analyze the parameters in DN. This paper emphasizes upon the various challenges of DN with the integration of RES. It reviews the various pricing methodologies for the delivered power in DN elaborately. The importance of Demand Side Management (DSM) and energy storage in DN are explored in this paper. The analysis of nodal voltages in the DN with Solar PV, Storage, PHEV and Diesel sources is demonstrated on IEEE four node test feeder.

Challenges with renewable energy sources and storage in practical distribution systems

The energy sector is undergoing substantial transition with the integration of variable renewable energy sources, such as wind and solar energy. These sources come with hourly, daily, seasonal and yearly variations; raising the need for short and long-term energy storage technologies to guarantee the smooth and secure supply of electricity. This paper critically reviews the existing types of pumped-hydro storage plants, highlighting the advantages and disadvantages of each configuration. We propose some innovative arrangements for pumped-hydro storage, which increases the possibility to find suitable locations for building large-scale reservoirs for long-term energy and water storage. Some of the proposed arrangements are compared in a case study for the upper Zambezi water basin, which has considerable water storage limitations due to its flat topography and arid climate. Results demonstrate that the proposed combined short and long-term cycles pumped-storage arrangement could be a viable solution for energy storage and reduce the cost for water storage to near zero.

/pdf/existing-and-new-arrangements-of-pumped-hydro-storage-plants-58dbp70bgh.pdf

Existing and new arrangements of pumped-hydro storage plants

Optimal planning of renewable energy resource for a residential house considering economic and reliability criteria

Optimal design of hybrid power generation system and its integration in the distribution network

With decreasing costs of renewable energy harvesting devices, penetration of solar panels and wind turbines have increased manifold. Under such high levels of penetration, coping with increased intermittency and unpredictability and maintaining power system resiliency under reduced inertia conditions has become a critical issue. Pumped storage hydro (PSH) is the most matured and economic form of storage that can serve the purpose of capacity for over 4 to 8 h. However, to increase network inertia and add required flexibility to low inertia power systems, significant paradigm shifting modifications have been engineered to result in the development of Ternary PSH (TPSH). In this paper a test system to consider governor interaction is constructed. The dynamic models of conventional PSH (CPSH) and TPSH are constructed and integrated to the test system to examine the effect of CPSH and TPSH in the hydraulic short circuit (TPSH-HSC). The ability and the effect of mode change (from pump to turbine) without the loss synchronism of TPSH has also been examined. Results display the superior capability and effect of TPSH with its HSC capability to contribute to frequency regulation during pumping mode and the effect of rapid mode change, as compared to its primitive alternative, CPSH.

A Comparison of the Dynamic Performance of Conventional and Ternary Pumped Storage Hydro

Economic Load Dispatch (ELD) is one of the most important problems to be solved in the operation and planning of a power system. Its objective is to schedule the power generation properly in order to minimize the total operational cost. Renewable energy resources such as wind power have significant attention in recent years in power system field. It reduces fuel consumption and also benefits in curbing emission. But wind power penetration into conventional systems due to its intermittent nature has some implications like security concerns. Thus a reasonable trade off is required between system risk and operational cost. In this paper a bi-objective economic dispatch problem considering wind power penetration is formulated. A fuzzy membership function is used to represent the dispatch of wind power into the conventional system. A particle swarm optimization algorithm, Genetic algorithm and a bacteria-foraging technique are adopted to develop a dispatch scheme compromising both the economic and security requirements. The results of all these 3 proposed techniques are compared. Numerical analyses are reported based on a typical IEEE-30-bus with six-generator test power system to show the validity and applicability of the proposed approaches.

AI based Economic Load Dispatch incorporating wind power penetration

Hybrid energy systems play a key role in sustainable development. This paper presents a Techno-Economic evaluation of the problem of optimal sizing for a windsolar system, including a hybrid back-up which consists of a fuel cell and a battery bank. With the help of mathematical models of the wind turbines, solar panels, fuel cells and lead-acid batteries, this paper reports an intelligent methodology for optimal sizing using Adaptive particle swarm optimization. The energy management strategy is innovative but simple and performs efficient hybrid backup management as well as the overall system management. The problem has initially been solved with a conventional iterative procedure (unit increment algorithm) in order to serve as a reference, but later an adaptive version of particle swarm optimization (APSO) is used. Reliability and Per unit cost of a hybrid energy system has been considered as the key parameter for evaluating the techno-economical feasibility, where the number of each equipment and the volume of hydrogen has been considered as the variables for optimization.

http://www.sersc.org/journals/IJCA/vol9_no6/31.pdf

Optimal Sizing of Standalone Wind/PV/Fuel Cell/Battery System Using Adaptive Particle Swarm Optimization

In today’s era of socioeconomic and environmental concerns, conventional energy sources are incapable of meeting increasing energy demands which leads to the significance of Microgrid (MG) systems incorporating renewable energy sources. An ideally designed microgrid capable of operating in standalone and grid connected mode is considered with photovoltaic panels, wind turbines, fuel cell, battery and Microturbines (MT) as sources. The two noteworthy disadvantages of microgrid are very expensive power supply and intermittency of power generation. Besides ensuring a steady supply, the power delivered should be of moderate cost. So, this work focuses on reducing the cost associated with its operation and emission by simultaneously analyzing the impact of uncertainty. The uncertainties can be caused due to different DGs present in MG and the load varations. The variations of uncertainty are included as outage cost. The MG operating under islanded and grid connected modes are analyzed for different scenarios to obtain optimal value of customer outage cost and operating cost. So a heuristic optimization technique which can handle the multi-objective problem is considered. The optimal solution for different operational scenarios of grid connected and islanded mode are obtained using Multi-Objective Particle Swarm Optimization (MOPSO) algorithm.

Analyzing Customer Outage Cost in a Microgrid

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