Visible to the public UUCA: Utility-User Cooperative Algorithm for Flexible Load Scheduling in Distribution System

TitleUUCA: Utility-User Cooperative Algorithm for Flexible Load Scheduling in Distribution System
Publication TypeConference Paper
Year of Publication2019
AuthorsPaul, S., Padhy, N. P., Mishra, S. K., Srivastava, A. K.
Conference Name2019 8th International Conference on Power Systems (ICPS)
Date PublishedDec. 2019
ISBN Number978-1-7281-4103-9
KeywordsCollaboration, commercial customers, composability, Cost function, demand response analysis, demand side management, distribution grid, Distribution system, Distribution System Operator (DSO), electricity cost (EC), electricity cost decrement, flexible appliance rescheduling, flexible load, Harmony search (HS) optimization, harmony search optimization technique, heuristic search techniques, Human Behavior, industrial customers, Job shop scheduling, load flow control, Load modeling, load scheduling, Metrics, peak load reduction, Peak to average power ratio, peak to average ratio (PAR), policy-based governance, power distribution economics, power generation scheduling, Pricing, privacy, pubcrawl, residential customers, resilience, Resiliency, Scalability, Schedules, search problems, smart grid consumer privacy, smart grid deployment, smart power grids, utility, utility-user cooperative algorithm, UUCA
AbstractDemand response analysis in smart grid deployment substantiated itself as an important research area in recent few years. Two-way communication between utility and users makes peak load reduction feasible by delaying the operation of deferrable appliances. Flexible appliance rescheduling is preferred to the users compared to traditional load curtailment. Again, if users' preferences are accounted into appliance transferring process, then customers concede a little discomfort to help the utility in peak reduction. This paper presents a novel Utility-User Cooperative Algorithm (UUCA) to lower total electricity cost and gross peak demand while preserving users' privacy and preferences. Main driving force in UUCA to motivate the consumers is a new cost function for their flexible appliances. As a result, utility will experience low peak and due to electricity cost decrement, users will get reduced bill. However, to maintain privacy, the behaviors of one customer have not be revealed either to other customers or to the central utility. To justify the effectiveness, UUCA is executed separately on residential, commercial and industrial customers of a distribution grid. Harmony search optimization technique has proved itself superior compared to other heuristic search techniques to prove efficacy of UUCA.
Citation Keypaul_uuca_2019