Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response

TLDR

Optimizing a building energy management system is crucial for operation security, economy, and efficiency, and occupant comfort includes visual, thermal, and indoor air quality aspects. The study proposes a day‑ahead multiobjective optimization model for BEMS under time‑of‑use price‑based demand response that integrates photovoltaic and other generation to jointly improve economy and occupant comfort through source‑load‑storage dispatch. The model incorporates controllable loads for demand response, balances electric, thermal, and cooling loads, and is solved using the YALMIP toolbox in MATLAB. A case study demonstrated the model’s effectiveness and adaptability.

Abstract

The optimized operation of a building energy management system (BEMS) is of great significance to its operation security, economy, and efficiency. This paper proposes a day-ahead multiobjective optimization model for the BEMS under time-of-use price-based demand response (DR), which integrates building integrated photovoltaic with other generations to optimize the economy and occupants' comfort by the synergetic dispatch of source-load-storage. The occupants' comfort contains three aspects of the indoor environment: visual comfort; thermal comfort; and indoor air quality comfort. With the consideration of controllable load that could participate in DR programs, the balances among different energy styles, electric, thermal, and cooling loads are guaranteed during the optimized operation. YALMIP toolbox in MATLAB was applied to solve the optimization problem. Finally, a case study was conducted to validate the effectiveness and adaptability of the proposed model.