This paper investigates the problem of proportionally fair double-sided energy auction involving buying and selling agents. The grid is assumed to be operating under islanded mode. A distributed algorithm that can implemented by an aggregator, as well a possible approach which agents may approximate price anticipation considered. Equilibrium conditions arising due analyzed. modified mitigate resulting loss in efficiency such behavior suggested. allows aggregate social welfare arbitrarily...

This paper proposes a double auction mechanism for energy trade between buying and selling agents. The framework is general enough, requiring neither the agents' preferences nor pricing to be fixed values across spatially distributed A microgrid controller implements algorithm maximize individual participating utilities as well social welfare. accomplished by in an iterative manner, such that need obtain private information pertaining obviated. Simulation results with set of seven buyers...

In this paper, a general-purpose double auction mechanism that is specifically relevant for energy transactions among competing buyers and sellers, i.e., agents, in microgrid has been investigated. This algorithm implemented by means of controller (MC), individually rational, weakly budget balanced, efficient (social welfare maximizing). Furthermore, the does not violate any physical grid constraints require agents' private information. These characteristics are accomplished suitable...

Distribution locational marginal pricing (DLMP) can adversely affect users in a grid-constrained transactive distribution system market (DSM) that are at distance away from the substation, requiring longer paths to connect substation. When grid operates closer its physical limits terms of line capacities and voltage deviations, these more likely cause violations than others vicinity Conversely, increased energy consumption by near substation choke off supply those s extremities. This...

In a transactive energy market, distributed resources (DERs) such as dispatchable generators (DGs), electrical storages (EESs), distribution-scale load aggregators (LAs), and renewable sources (RESs) have to earn their share of supply or demand through bidding process. the distribution system operator (DSO) may optimally schedule these resources, first in forward i.e., day-ahead, real-time market later on, while maintaining reliable economic grid. this paper, an efficient day-ahead...

In this paper, we study a Day-ahead Market(DAM) double energy auction in distribution system involving dispatchable generation units, renewable units supported by battery storage systems(BSSs), fixed loads, price responsive and supply from the Wholesale Market(WSM) at Locational Marginal Price (LMP). The is implemented within Distribution System Operator (DSO) premises using Mixed Integer Linear Programming (MILP). proposed cleared LMP (DLMP) observed to be weakly budget balanced if no...

This paper proposes a coordinated two-stage real-time market mechanism in an unbalanced distribution system which can utilize flexibility service from home energy management (HEMS) to alleviate line congestion, voltage violation, and substation-level power imbalance. At the grid level, operator (DSO) computes locational marginal prices (DLMP) its energy, loss, violation components through comprehensive sensitivity analyses. By using DLMP first-stage optimization problem, DSO generates two...

A novel distributed energy allocation mechanism for Distribution System Operator (DSO) market through a bi-level iterative auction is proposed. With the locational marginal price at substation node known, DSO runs an upper level with aggregators as intermediate agents competing energy. This takes into account physical grid constraints such line flows, transformer capacities and voltage limits. straightforward implementation of projected gradient descent on social welfare (SW) all home...

This study proposes an approximate dynamic programming (ADP) method for a stochastic home energy management system (HEMS) that aims to minimise the electricity cost and discomfort of household under uncertainties. The focuses on HEMS optimally schedules heating, ventilation, air conditioning, water heater, electric vehicle, while accounting uncertainties in outside temperature, hot usage, non-controllable net load. authors approach ADP-based via effective combination Sobol sampling backward...

This paper models and analyzes the consumption trading patterns of electrical energy in islanded microgrids when generation is restricted to renewable resources such as photovoltaic (PV) panels. With producers consumers grid represented agents, impact following two scenarios on agents' utilities well social welfare are investigated during period: (i) with fixed price; (ii) variable price. In order reflect real-world behavior, Nash equilibrium (NE) user (agent) behavior established by means...

Data centres (DCs) have rapidly expanded in recent years due to increasing demand for cloud services. The costs incurred by electricity and water consumption contribute a major portion of DC operating costs. This article addresses the day‐ahead operation context virtual power plant (VPP) under grid‐connected mode. problem is formulated as two‐stage stochastic mixed integer linear programming (MILP) model that considers workload schedules among server clusters, consumption, uncertainties...

The increasing penetration of distributed renewable generation brings new power producers to the market [2].Rooftop photovoltaic (PV) panels allow home owners generate more than personally needed and this excess production could be voluntarily sold nearby homes, alleviating additional transmission costs especially in rural areas [24].Power is as a continuous quantity markets involve pricing that may change on minute-to-minute basis.Forward assist with scheduling advance [25].The speed...

Energy trading is a key feature of the emerging smart grid system. In this paper, we propose an energy allocation mechanism for among competing consumers and prosumers, i.e. agents, in microgrid. The proposed modeled rational agents with hidden private information, aiming to optimize self-utility payoff. We achieve goal through presence central impartial aggregator whose aim accomplish efficient, price uniform, individually rational, budget balanced agents.

This paper investigates three-phase, component-wise real and reactive distribution locational marginal pricing (DLMP). Through the use of case studies, mixtures positive negative, as well reactive, DLMP components are explored in detail. A modified three-phase unbalanced 69-node PG & E system is used to demonstrate validity model. Results emphasize importance schemes power pricing. The results also indicate mechanism can potentially assist balancing across phases. serve an economic price...

This paper introduces the Stochastic Look Ahead Commitment (SLAC) software prototyped and tested for Midcontinent Independent System Operator (MISO) look ahead commitment process. SLAC can incorporate hundreds of wind, load, net scheduled interchange (NSI) uncertainty scenarios. It uses a progressive hedging method to solve novel two-stage stochastic unit commitment. The first stage decisions, made only those generators whose decision commit or not in each time period cannot be deferred,...

The largescale penetration of variable renewable energy (VRE) and their generation uncertainties poses a major challenge for the distribution system operator (DSO) to efficiently determine day-ahead real reactive power locational marginal prices (DLMPs) underlying components. In this paper, we propose DLMP-based transactive market (DAM) model, that in addition losses, determines creating congestions voltage violations under peak-load large-scale stochastic VRE conditions. To account effect...

This research proposes a novel auction mechanism for transactive energy exchange between buyers and sellers, modeled as agents in microgrid. The is implemented by separate microgrid controller (MC) agent, requires big data flow with the other through an iterative bidding process. Although private user information remains hidden to MC, theoretical analysis shows that under assumption of convexity utilities, proposed still able maximize social welfare (SW), i.e. aggregate utilities agents. In...

This paper explores Home Energy Management System (HEMS) algorithms to minimize household cost while maintaining comfort when faced with uncertain weather, and demand. Specifically, we consider a HEMS that optimizes forward looking schedules for home's heating, ventilation, air conditioning (HVAC); water heater (WH); electric vehicle (EV) charging considering uncertainty in outside temperature, hot usage, non-controllable load (NCL). We adopt Dynamic Programming (DP) formulation utilize the...

This paper investigates three-phase, component-wise real and reactive distribution locational marginal pricing (DLMP). Through the use of case studies, mixtures positive negative, as well reactive, DLMP components are explored in detail. A modified three-phase unbalanced 69-node PG&E system is used to demonstrate validity model. Results emphasize importance schemes power pricing. The results also indicate mechanism can potentially assist balancing across phases. serve an economic price...

This paper investigates three-phase, component-wise real and reactive distribution locational marginal pricing (DLMP). Through the use of case studies, mixtures positive negative, as well reactive, DLMP components are explored in detail. A modified three-phase unbalanced 69-node PG&E system is used to demonstrate validity model. Results emphasize importance schemes power pricing. The results also indicate mechanism can potentially assist balancing across phases. serve an economic price...

This paper investigates the problem of proportionally fair double sided energy auction involving buying and selling agents. The grid is assumed to be operating under islanded mode. A distributed algorithm that can implemented by an aggregator, as well a possible approach which agents may approximate price anticipation considered. Equilibrium conditions arising due analyzed. modified mitigate resulting loss in efficiency such behavior suggested. allows aggregate social welfare arbitrarily...