Shantanu Chakraborty

Aveva · Product Development (R&D)

This paper presents an optimal coalition formation mechanism of microgrids in a smart distribution system and analyzes the characteristics from the coalitional game theoretical perspective. Microgrids coalitions can (1) minimize the energy burden and dependency on the utility grid, (2) minimize the overall grid network power loss, and (3) maximize...

Imbalance (on-line energy gap between contracted supply and actual demand, and associated cost) reduction is going to be a crucial service for a Power Producer and Supplier (PPS) in the deregulated energy market. PPS requires forward market interactions to procure energy as precisely as possible in order to reduce imbalance energy. This paper prese...

This paper introduces a demand-side distributed and secured energy commitment framework and operations for a Power Producer and Supplier (PPS) in deregulated environment. Due to the diversity of geographical location as well as customers' energy profile coupled with high number of customers, managing energy transactions and resulting energy exchang...

This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteria and the prosumers' private p...

With the development of distributed energy resources (DERs) and advancements in technology, microgrids (MGs) appear primed to become an even more integral part of the future distribution grid. In order to transition to the smart grid of the future, MGs must be properly managed and controlled. This paper proposes a microgrid energy management system...

Renewable energies (REs) such as photovoltaic generation (PV) have been gaining attention in distribution systems. Recently, houses with PV and battery systems, as well as electric vehicles (EV) are expected to contribute to not only the suppression of global warming but also reducing electricity bill on the consumer side. However, there are numero...

The main focus of the proposed framework is to examine the importance of electricity interconnections with a high share of intermittent Renewable Energy (RE) sources and attempts to link the gap between planning model and operation with considering realistic operating details. Therefore optimal Unit Commitment (UC) is considered to analyze how oper...

This paper presents two probabilistic approaches based on bootstrap method and quantile regression (QR) method to estimate the uncertainty associated with solar photovoltaic (PV) power point forecasts. Solar PV output power forecasts are obtained using a hybrid intelligent model, which is composed of a data filtering technique based on wavelet tran...

Like in most developing countries, meeting the load demand and reduction in transmission grid bottlenecks remains a significant challenge for the power sector in Sierra Leone. In recent years, research attention has shifted to demand response (DR) programs geared towards improving the supply availability and quality of energy markets in developed c...

The recent global trend in automation and smartness has boosted the need for innovation in microgrid that led to a renewed interest in researches and innovations in this context. This paper steers a plenary counseling and discussion in the context of microgrid planning and design for academia, industry, planners, utility operators, regulators, poli...

The recent global trend in automation and smartness has boosted the need for innovation in microgrid that led to a renewed interest in researches and innovations in this context. This paper steers a plenary counseling and discussion in the context of microgrid planning and design for academia, industry, planners, utility operators, regulators, poli...

Combating climate change issues resulting from excessive use of fossil fuels comes with huge initial costs, thereby posing difficult challenges for the least developed countries in Sub-Saharan Africa (SSA) to invest in renewable energy alternatives, especially with rapid industrialization. However, designing renewable energy systems usually hinges...

Energy cooperatives (ECs) such as residential and industrial microgrids have the potential to mitigate increasing fluctuations in renewable electricity generation, but only if their joint response is coordinated. However, the coordination and control of independently operated flexible resources (e.g., storage, demand response) imposes critical chal...

Energy cooperatives (ECs) such as residential and industrial microgrids have the potential to mitigate increasing fluctuations in renewable electricity generation, but only if their joint response is coordinated. However, the coordination and control of independently operated flexible resources (e.g., storage, demand response) imposes critical chal...

This paper presents a transactive control (TC) mechanism for the management of battery energy storage systems (BESS) in residential networked microgrids (MGs) that contain loads, electric vehicles (EVs), and rooftop solar photovoltaic systems (PV). The goals of the TC are to maximize the savings of consumers and prosumers and to reduce peak load on...

The increasing number of residential energy cooperatives raises the importance of forming a local prosumer marketplace that is capable of managing energy and flexibility exchange efficiently. However, the coordination and control of independently operated flexible resources (e.g. storage, demand response) imposes critical challenges arising from th...

This paper presents an automated peer-to-peer (P2P) negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative (REC) considering heterogeneous prosumer preferences. The heterogeneity arises from prosumers' evaluation of energy contracts through multiple societal and environmental criteria and the prosumer...

A power management system for a micro-grid having a connection to a main power grid, the power management system including: a receiving unit configured to receive main power grid information and micro-grid resource information; a prediction unit configured to predict, for a predetermined period of time: future micro-grid power consumption, micro-gr...

A landlocked country, Afghanistan, located between energy surplus regions and energy deficit areas is blessed with abundant renewable energy sources (RESs) which can exploit not only to cover its power demand but also to earn remarkable export revenue. This paper focuses on generation scheduling problem along with the optimal sizing of the hybrid r...

A system and method for stochastic imbalance optimizer utilizing online charge/discharge scheduling by incorporating the non-linearity in imbalance tariff, storage dynamics and associated non-linear constraints is disclosed. The stochastic imbalance optimizer considers the statistical demand and supply scenarios, which in turn are produced by takin...

Due to the electric power liberalization, many power producers are entering into the power market. Most of the electrical power company has been introduced Renewable Energy Sources (RES) that will increase the power system uncertainty. Therefore, it is expected that it will increase the likelihood of voltage instability and voltage collapse. Also,...

An energy balancing group formation method is provided. Historical demand profiles of a plurality of customers are received. A demand aggregation criterion is determined according to the received historical energy demand profiles. A demand aggregation strategy to form energy balancing groups based on the demand aggregation criterion is determined....

An charge/discharge (C/D) scheduler includes a determination unit (160A) that determines a charge/discharge (C/D) schedule at an operating period for each of a plurality of batteries (140) based on a predetermined supply amount of electric energy for first particular periods, first predicted energy demand information for the first particular period...

One of the features of the invented method is that it adds to the scenario selection criteria the impact on the control command of the single scenarios. If necessary it takes also into account the performance achieved during single scenario optimization and combines scenario describing space information with single scenario optimization results spa...

A Power Producer and Supplier (PPS) in the deregulated energy market requires forward market interactions to procure energy as precisely as possible in order to reduce imbalance energy (on-line demand vs. supply gap). This paper presents, 1) (off-line) an effective demand aggregation based strategy for creating a number of balancing groups that lea...

This paper presents a robust and optimal operation tracking Energy Management System (EMS) for Mobile Base Transceiver Station (BTS) Microgrid equipped with Battery, PV panels and Diesel Engine Generator (DEG) for unreliable grid. The contribution is particularly focused on minimizing the DEG fuel (with DEG ON/OFF frequency) at the time of power-gr...

A plurality of subsystems (21, 22, 23) have one or more internal states. A plurality of local optimizers (11, 12, 13) control the corresponding subsystems based on the internal states thereof and data exchange due to a coupling between the subsystems, respectively. A mediator (10) monitors outputs (y1, y2, y3) and/or some internal states of the plu...

It is necessary to improve a charge/discharge scheduling method for demand side energy storage system including a plurality of batteries for real-time operation, therefore, an energy management module according to an exemplary aspect of the invention includes an energy deviation calculation unit that calculates energy deviation from energy supplies...

Imbalance (on-line energy gap between contracted supply and actual demand, and associated cost) reduction is going to be a crucial service for a Power Producer and Supplier (PPS) in the deregulated energy market. PPS requires forward market interactions to procure energy as precisely as possible in order to reduce imbalance energy. This paper prese...

A Service Provider (SP) includes a controller that instructs several Producers (provide the electric energy) and Consumers (consume the electric energy) about the electrical energy. The controller selects one of the Producers as an Active Producer (AP) that provides a predetermined volume of the electric energy, one of a remainder of the Producers...

This paper introduces a special architecture for realizing multi-agent based distributed optimization for large scale dynamic systems. By combining advanced environments for multi-agent implementation and fast non-linear dynamic optimization according to a newly devised Mediator-based architecture, optimal operation of large scale power and energy...

Defining appropriate pricing strategy for smart environment is important and complex at the same time. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a multi-layered scoring rule. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation Company...

This paper introduces a demand-side distributed energy matching framework and operations for an Energy Service Provider (ESP). Due to the diversity, geographical location and high number of customers, managing energy transactions and resulting energy exchanges are challenging for an ESP. The envisioned ESP maintains several aggregators (e.g. Microg...

System and methods for performing microgrids cooperation by optimal coalition formation in a distribution network are disclosed. A Microgrid Cooperation Module (MCM) is designed for utility EMS. MCM contains a coalition formation unit and an energy exchange decision unit. Furthermore, a communication protocol for energy exchange between two microgr...

This paper presents an optimal coalition formation mechanism of microgrids in a smart distribution system and analyzes the characteristics from the coalitional game theoretical perspective. Microgrids coalitions can minimize the energy burden and dependency on the utility grid by maximizing intra-coalition energy transfer. A Hierarchical Coalition...

Defining appropriate pricing strategy for smart environment is important and complex task at the same time. It holds the primal fraction in Demand Response (DR) program. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a multi-layered scoring rule. The proposed strategy characterizes both incentive b...

This study presents a fuzzy logic-based strategy to solve thermal generation scheduling [namely unit commitment (UC)] problem integrated with an equivalent solar-battery system using quantum inspired evolutionary algorithm. Solar-battery system is included with this model as a measure of green-house effect. The crisp formulations of UC are modified...

This paper presents an intelligent economic operation on smart grid environment facilitating an advanced quantum evolutionary method. The proposed method models the wind generation (WG) and the photovoltaic generation (PV) as renewable power generation sources as measures of global warming effect. Thermal generators (TGs) are included in this model...

This paper presents an intelligent economic operation of smart grid environment facilitating an advanced quantum evolutionary method. The proposed method models the wind generation (WG) and photovoltaic (PV) generation as renewable power generation sources as a measure of global warming effect. Thermal generators (TGs) are included in this model to...

Defining appropriate pricing strategy for smart environment is important and complicated at the same time. In our work, we devise an incentive based smart dynamic pricing scheme for consumers facilitating a hierarchical scoring mechanism. This mechanism is applied between consumer agents (CA) to electricity provider agent (EP) and EP to Generation...

This paper presents a smart pricing scheme for smart house facilitating a scoring rule operated reward based pricing mechanism. In this scheme, provider (EP) monitors the network load and propose a day-ahead pricing to the consumers. The consumers respond that pricing by providing a probabilistic device schedule prediction for the smart devices to...

Some auction systems are applied to the parking reservation system which would exert an important role in the next generation traffic systems. As an introduction evaluation of the auction systems for the parking reservation, we compare the results in case of a simultaneous auction and sequential one, and examine the influences of the strategy. Alth...

This research tackles the grand challenge on establishing multi-agent based computational social mechanism design theories, in which we focus on developing novel social systems and mechanisms that are globally optimized by using computers and networks, and apply them to society simulations and real world applications. This research tries to enable...

This paper presents a fuzzy controlled and multi-population based binary clustered particle swarm optimization (BCPSO) algorithm to solve short term thermal generation scheduling problem. In order to incorporate the uncertainties regarding forecasted load demand, the spinning reserve requirement and the total production cost, the formulations are m...

This paper presents a fuzzy controlled intelligent economic operation of smart grid environment facilitating an advanced quantum evolutionary method. The wind generation (WG) and photo-voltaic generation (PV) are used as renewable power generation sources. Thermal generators (TG) are included in this model to provide the maximum amount of energy to...

This paper presents an economic optimal operation strategy for thermal power generation units integrated with smart houses. With the increased competition in retail and power sector reasoned by the deregulation and liberalization of power market make optimal economic operation extremely important. Moreover, the energy consumption is multiplying due...

This paper presents a fuzzy-logic-based binary particle swarm optimization (BPSO) method for solving short-term thermal unit commitment problem integrated with an equivalent wind–battery system. As a renewable power source, wind power is injected stochastically with the model. To handle the uncertainty and intermittency due to the wind power integr...

This paper presents an efficient strategy to solve the thermal economic load dispatch (ELD) problem by considering several aspects of ELD. ELD performs an important role in the economical operation of power system, which essentially involves nonlinearity according to the characteristics of the generators. The complexity is amplified when the genera...

Economic load dispatch (ELD) performs an important part in the economic operation of power system. The ELD problem is considered as a non-linear constrained optimisation problem. The problem becomes non-convex and non-smooth when the generators' prohibited zones and valve-point effect are considered. The purpose of this work is to present a solutio...

This article presents a strategy to solve thermal unit commitment (UC) integrated with an equivalent solar battery system using Fuzzy based Quantum inspired Evolutionary Algorithm (FQEA). As a renewable power source, solar power is injected stochastically with the model. To handle the uncertainty and intermittency involved while integrating solar p...

Due to irregular wind velocity, the output power of a wind turbine generator system (WTGS) is fluctuated. There are many methods to propose to generate smooth output power of a wind turbine. For example, energy storage devices, electric double layer capacitors, flywheels are well-known. But these methods are required a significant extra cost for in...

System security in the generation market is one of the important aspects in power system operation under deregulated environment. It becomes more crucial when thermal power system is integrated with wind system. This paper presents an approach to determine the security constrained unit commitment (SCUC) for thermal units integrated with wind power...

This paper presents a method for optimizing the Energy Storage System (ESS) size for a thermal power system coupled with wind power. Wind power is concern is growing rapidly due to the global environmental concern regarding green and clean energy. The optimal size of ESS is characterized by the rated stored energy and the maximum power rating which...

In the framework of the competitive electricity markets, electricity price forecasting is important for market participants in a deregulated electricity market. Rather than forecasting the value, market participants are sometimes more interested interval of the peak electricity price forecasting. Forecasting the peak price is essential for estimati...

This paper presents a fuzzy methodology for solving thermal unit commitment problem integrated with solar energy system using differential evolution approach. Solar energy with battery is integrated with the model due to lower electric cost and positive effect on the environment. Such inclusion of intermittent solar energy with thermal power genera...

This paper presents a fuzzy methodology for solving thermal unit commitment problem integrated with wind power system using differential evolution approach. Wind power facility is coupled with an equivalent battery to compensate with frequency and voltage fluctuations. Wind energy system is integrated with the system due to lower electric cost and...

A methodology for determining the optimal size of energy storage system (ESS) integrated with thermal power system is presented in this study. The optimal size is characterised by the rated stored energy and the maximum power rating of installed ESS for which the power system can achieve maximum revenue. Therefore the ESS cost formulation is conduc...

This paper presents a methodology for determining optimal generation schedule for thermal units by using a combined approach of particle swarm optimization (PSO) and dynamic programming (DP). At first, the units are decomposed into several hours based on the forecasted load demand. Then unit commitment (UC) problem is solved for each single hour us...

This paper proposes the approach to reduce the prediction error at occurrence time of peak electricity price, and aims to enhance the accuracy of next day electricity price forecasting. In the proposed method, the weekly variation data is used for input factors of the NN at occurrence time of peak electricity price in order to catch the price varia...

Electricity price forecasting is an essential task for market participants in deregulated electricity market. This paper proposes an approach for next-day peak electricity price forecasting, since it is important for risk management and bidding strategy. In the proposed method, neural network (NN) is employed as the forecasting method, and its lear...

This paper presents a methodology for solving generation planning problem for thermal units integrated with wind and solar energy systems. The renewable energy sources are included in this model due to their low electricity cost and positive effect on environment. The generation planning problem also known by unit commitment problem is solved by a...

This paper presents a modified particle swarm optimization (MPSO) for constrained economic load dispatch (ELD) problem. Real cost functions are more complex than conventional second order cost functions when multi-fuel operations, valve-point effects, accurate curve fitting, etc., are considering in deregulated changing market. The proposed modifie...

This paper presents a methodology for solving unit commitment problem for thermal units integrated with wind and solar energy systems. The renewable energy sources are included in this model due to their low electricity cost and positive effect on environment. The unit commitment problem is solved by a genetic algorithm operated improved binary par...

This paper presents a multi-population binary clustered particle swarm optimization (BCPSO) algorithm to solve short term thermal generation scheduling problem. The potential solution schedules are distributed among several clusters based on their corresponding fitness values. Each cluster contains a cluster best schedule. Each solution of a partic...

This paper presents a methodology of short term generation scheduling (unit commitment) for thermal units integrated with wind energy system considering the unexpected deviation on load demand. The deviation in load demand occurs mainly due to variation in temperature which in turns yields error in load forecasting. Since the usual unit commitment...

This paper presents a determination methodology for finding optimal operation schedules of thermal units (namely unit commitment) integrated with an energy storage system (ESS) to minimize total operating costs. A generic ESS formulation along with a method for solving unit commitment (UC) of thermal units with ESS is proposed to serve this purpose...