Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

Abstract

Insufficient flexibility in system operation caused by traditional "heat-set" operating modes of combined heat and power (CHP) units in winter heating periods is a key issue that limits renewable energy consumption. In order to reduce the curtailment of renewable energy resources through improving the operational flexibility, a novel optimal scheduling model based on chance-constrained programming (CCP), aiming at minimizing the lowest generation cost, is proposed for a small-scale integrated energy system (IES) with CHP units, thermal power units, renewable generations and representative auxiliary equipments. In this model, due to the uncertainties of renewable generations including wind turbines and photovoltaic units, the probabilistic spinning reserves are supplied in the form of chance-constrained; from the perspective of user experience, a heating load model is built with consideration of heat comfort and inertia in buildings. To solve the model, a solution approach based on sequence operation theory (SOT) is developed, where the original CCP-based scheduling model is tackled into a solvable mixed-integer linear programming (MILP) formulation by converting a chance constraint into its deterministic equivalence class, and thereby is solved via the CPLEX solver. The simulation results on the modified IEEE 30-bus system demonstrate that the presented method manages to improve operational flexibility of the IES with uncertain renewable generations by comprehensively leveraging thermal inertia of buildings and different kinds of auxiliary equipments, which provides a fundamental way for promoting renewable energy consumption.

arXiv commentAccepted by Energy Conversion and Management

References in corpus (5)

• Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties
• Optimal distributed generation planning in active distribution networks considering integration of energy storage
• Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: a bi-level programming approach via real-time pricing
• A Two-Stage Approach for Combined Heat and Power Economic Emission Dispatch: Combining Multi-Objective Optimization with Integrated Decision Making
• Incorporating demand response of electric vehicles in scheduling of isolated microgrids with renewables using a bi-level programming approach

Cited by in corpus (17)

• Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach
• Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response
• Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game
• Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
• Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading
• Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
• Deep Learning for Short-Term Voltage Stability Assessment of Power Systems
• Multi-objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification Based Multi-objective Evolutionary Algorithm and Integrated Decision Making
• Robust Dynamic State Estimator of Integrated Energy Systems based on Natural Gas Partial Differential Equations
• Power Cyber-Physical System Risk Area Prediction Using Dependent Markov Chain and Improved Grey Wolf Optimization
• Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach
• A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges
• Research on Flexibility Margin of Electric-Hydrogen Coupling Energy Block Based on Model Predictive Control
• Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
• Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems
• Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks
• Temperature-Aware Heat Pump Modeling for Large-Scale Energy System Optimization