Optimal device capacity planning and strategy determination in an integrated energy system to promoting IES integration considering reliability value

Abstract

This paper proposes a novel framework for optimal planning of integrated energy system (IES) that takes into account its reliability value, which aims at promoting the power grid and IES to share the responsibility of the user's energy-supply reliability by market mechanism, thus promoting IES integration. First, an IES grid-connected electricity purchase price estimation model considering reliability is established, based on price theory and reliability theory, to quantify the reliability incremental value of IES. Then, a two-layer collaborative planning model, containing optimal equipment capacity configuration and strategy determination in the upper layer and optimal operation simulation and IES incremental reliability value in the lower layer, is established to coordinate the reliability guarantee capability of distribution network and IES while maximize the profit of IES. Among them, a practical approach of IES probabilistic reliability calculation is studied, considering double uncertainty and time-series matching of generation and demand, aiming at reducing the complexity of electricity price calculation embedded in planning model. Next, the intelligent krill herd algorithm and MILP are implemented to solve the model. Finally, a case is studied to verify the effectiveness of the model, and analyse the impact of load growth rate and user reliability requirements on the planning results.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

A Low Carbon Economic Optimal Dispatching Model for Comprehensive Energy System Based on Improved Whale Algorithm, 1-12.

“…This framework established a price estimation model based on reliability theory to maximise the benefits of IES. The simulation experiment led by the author validated its effectiveness, analysed its influence in load growth rate and user reliability demands [6]. Su et al…”

“…However, when the benefits fall below a critical level, the stored NG will be transported to the NG system to enhance its economic benefits. The important components of the NG system include NG pipelines and compressors, among which the NG pipeline mainly refers to its flow model, which is displayed in (6).…”

Research on comprehensive energy metering acquisition and monitoring based on feature detector

“…The distributed intelligent sensor technology is used to detect the integrated energy in real time and realize the remote monitoring and scheduling of the integrated energy. The time sensing ability of the feature detector is utilized to reduce the detection time and ensure the smooth operation of the comprehensive energy system [6][7].…”